Snowflake Integrations

Vayu is an innovative revenue management and billing solution powered by AI, aimed at streamlining the entire contract-to-cash process for contemporary digital enterprises. By integrating operational data such as product usage, API interactions, and service activities with contract stipulations and pricing strategies, it transforms these activities into precise billable items and invoices in real-time. Its no-code design empowers finance and revenue teams to set up intricate pricing frameworks—be it subscription, usage-based, hybrid, or outcome-oriented—without needing any engineering support. Vayu efficiently gathers usage data from various sources, including data warehouses, APIs, and operational systems, and utilizes a metering engine to standardize these events while applying established billing rules. Additionally, the platform features automated contract intelligence that extracts key commercial elements, pricing tiers, and billing timelines from contracts and CRM data, ensuring that invoices consistently align with signed agreements. This comprehensive approach not only enhances accuracy but also significantly optimizes the revenue collection process for businesses.

Simon AI is a marketing platform driven by artificial intelligence, aimed at assisting organizations in leveraging customer data to effortlessly initiate personalized campaigns across various digital platforms. By merging a flexible customer data system with self-sufficient AI agents, it assesses customer behaviors, contextual cues, and business metrics to develop precisely tailored marketing experiences. Rather than having marketing teams manually sort through audience segments or execute intricate queries, Simon AI empowers marketers to establish business objectives, like boosting conversions, reducing churn, or encouraging repeat purchases, while its AI agents take care of data organization, insight extraction, and campaign implementation. Furthermore, it incorporates a variety of information, including customer interactions, transaction history, and contextual variables such as browsing habits, inventory status, weather fluctuations, and social media activity, to facilitate timely and pertinent marketing responses. This innovative approach not only streamlines marketing efforts but also enhances the relevance of customer interactions, ultimately leading to improved business outcomes.

Surf AI is an innovative security operations platform aimed at mitigating vulnerabilities and automating remediation by linking context across all enterprise systems, transforming scattered risks into actionable workflows. It tackles the fundamental challenge of increasing security backlogs, recognizing that the primary issue lies not in the number of personnel but in the absence of a cohesive context. By integrating various systems, mapping interdependencies, and designating responsibility for each issue, it effectively addresses this challenge. The platform functions through a continuous loop of gathering data from multiple systems, comprehending ownership and interrelations, evaluating the potential impact before taking action, and resolving issues with safe, automated remediation processes. By bridging tools and data sources, Surf AI empowers teams to associate every exposure with a specific owner, facilitating resolution from start to finish without depending on tickets or manual transitions between teams. Furthermore, it streamlines workflows across systems, thereby considerably minimizing the time dedicated to follow-ups and reducing operational burdens. Ultimately, Surf AI enhances the efficacy of security operations, allowing organizations to respond more swiftly and effectively to emerging threats.

A change data capture (CDC), replication, and synchronization solution for hybrid estates. It securely captures and applies sub-second data changes across mainframe, distributed, and cloud systems—enabling real-time and bidirectional replication where needed—so analytics, AI, and operational apps run on current data. Key capabilities: • Real-time CDC capture/apply with low latency • Bidirectional replication and sync across heterogeneous endpoints • Mainframe-to-cloud replication for modernization and migrations • High-throughput pipelines with minimal disruption to production workloads • Delivery to modern targets (e.g., Snowflake, AWS) without custom code • Security + resilience: encryption and built-in recovery controls Outcomes: fresher data for AI/analytics, faster modernization, and lower mainframe CPU by offloading downstream processing to cloud compute.

Linx Security is an innovative identity security and governance platform that leverages AI to provide organizations with comprehensive visibility and control over the complete identity lifecycle. This platform empowers teams to effectively map, monitor, and manage both human and non-human identities across various applications, cloud setups, and on-premises systems, significantly minimizing blind spots and reducing the potential for identity-related attacks. By offering an integrated solution that merges identity, security, and IT operations, Linx allows organizations to efficiently manage access, implement policies, and ensure compliance from a centralized point of operation. Through the use of AI-driven analytics, Linx continuously evaluates identity relationships, entitlements, and access behaviors to identify risks, irregularities, and vulnerabilities, such as inactive accounts, excessive permissions, insufficient authentication measures, or absent security protocols. Additionally, it features capabilities like identity security posture management, just-in-time access, and lifecycle automation, enabling businesses to eliminate standing privileges and enhance their security posture. Ultimately, Linx Security provides a holistic approach to identity management that adapts to the evolving challenges faced by organizations today.

Simtheory is an innovative AI-driven workspace that revolutionizes team collaboration by converting discussions into tangible actions through integrated systems, data, and smart assistants. More than just a chatbot, it provides a secure platform where users can create AI assistants tailored to their business needs, capable of accessing internal resources and performing various tasks like drafting reports, analyzing data, updating CRM entries, scheduling appointments, or communicating with stakeholders. By connecting directly to data warehouses, SaaS applications, and internal infrastructures, the AI gains comprehensive context to produce precise and relevant outputs, empowering teams to evolve from basic prompts to delegated responsibilities with measurable results. Users can also design shared assistants with personalized instructions and knowledge bases, fostering standardized workflows and enhancing collaboration across different projects. Additionally, Simtheory accommodates multiple AI models within a single workspace, enabling users to switch effortlessly between them according to their requirements. This flexibility ensures that teams can adapt to changes and challenges in their work environment more efficiently.

Actian Data Observability is an advanced platform leveraging AI to continuously oversee, validate, and maintain the integrity, quality, and dependability of data within contemporary data environments. This system employs automated Data Observability Agents that assess the data as it enters data lakehouses or warehouses, identifying anomalies, elucidating root causes, and facilitating problem resolution before these issues can affect dashboards, reports, or AI applications. By providing instantaneous visibility into data pipelines, it guarantees that data remains precise, comprehensive, and reliable throughout its entire lifecycle. Unlike traditional methods that depend on sampling, it eradicates blind spots by monitoring the entirety of the data, which empowers organizations to uncover concealed errors that may compromise analytics or machine learning results. Furthermore, its integrated anomaly detection, driven by AI and machine learning technologies, allows for the early identification of irregularities such as changes in schema, loss of data, or unexpected distributions, leading to more rapid diagnosis and resolution of issues. Overall, this innovative approach significantly enhances the organization's ability to trust in their data-driven decisions.

Actian AI Analyst serves as a conversational analytics platform that is context-aware, aimed at empowering organizations to derive reliable insights from their data through natural language interactions. By enabling business users to pose inquiries without the need for SQL, it revolutionizes conventional dashboards into dynamic, ongoing dialogues with data. Before any analysis is performed, it functions on a governed semantic layer that encapsulates business metrics, relationships, and definitions, thereby ensuring that each query aligns with the organization's operational framework. This semantic layer is generated and upheld by the Steward AI agent, which persistently tracks data definitions and their interconnections, offering actionable plans for maintaining accuracy over time. Additionally, AI Analyst retains the conversational context in follow-up questions, facilitating a more profound investigation while ensuring that results remain consistent with established business logic. Its intuitive design fosters a seamless user experience, making data interactions more accessible and insightful for all business users.

The Actian Data Intelligence Platform is a cloud-native, AI-ready solution aimed at revolutionizing the way organizations discover, comprehend, manage, and trust their data in intricate environments. By consolidating features such as data cataloging, metadata oversight, governance, lineage tracking, observability, and semantic context into a cohesive platform, it establishes a centralized and reliable layer for enterprise data management. Leveraging a federated knowledge graph, the platform fosters intelligent connections between data assets, which allows it to inherently grasp context, yield pertinent search outcomes, and suggest optimal data utilization. This innovative strategy empowers both technical and business users to efficiently locate and utilize trustworthy data, thereby enhancing decision-making processes and boosting operational efficiency. Additionally, the platform performs continuous monitoring of data integrity, enforces governance protocols, and produces automated trust indicators, ensuring that data remains accurate, compliant, and primed for analytics along with AI applications. As a result, organizations can confidently navigate their data landscapes and harness the full potential of their information assets.

CyberTide is an innovative data security platform that leverages AI to provide organizations with comprehensive visibility, control, and safeguarding of sensitive information across various environments, including cloud services, SaaS applications, collaborative tools, and generative AI settings. By integrating several security features into a cohesive framework, such as Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, it empowers teams to identify, categorize, and protect data in real time. The platform employs context-aware artificial intelligence to thoroughly analyze the meanings and interconnections of data, rather than depending solely on keywords, which greatly minimizes false positives while ensuring precise identification of sensitive content. It actively monitors data both at rest and in transit, encompassing communication channels like emails, chats, and files, as well as AI-generated prompts, all while enforcing stringent policies aimed at preventing unauthorized access, leakage, or misuse of confidential information, including personal, financial, and proprietary data. This proactive approach not only enhances security but also fosters a culture of data protection within organizations.

Singulr is a comprehensive platform designed for enterprise AI governance and security, providing a cohesive control framework that aids organizations in discovering, securing, and optimizing their AI implementations on a large scale. By tackling the widening gap between the rapid deployment of AI technologies and the constraints of governance, it offers unparalleled visibility into all AI systems utilized within the organization, which includes custom applications, integrated AI solutions, public tools, and shadow AI that often evade detection by security teams. It systematically identifies and catalogs AI resources throughout the organization, creating a real-time inventory of agents, models, and services while evaluating their associated risks through thorough contextual assessments of data management, model lineage, vulnerabilities, and compliance requirements. The platform's intelligence layer, Singulr Pulse, processes millions of AI systems, assigns risk ratings, and facilitates automated onboarding processes that significantly shorten approval timelines from weeks to mere hours, all while ensuring robust security measures are in place. This innovative approach not only enhances the efficiency of AI adoption but also empowers organizations to maintain a strong governance framework as they navigate the complexities of AI integration.

Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment.

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.

SAS Studio offers a programming environment accessible through web browsers, making it simpler and quicker to write and engage with SAS code from any location. This platform is designed to enhance teamwork by facilitating the creation of effective data pipelines, promoting effortless collaboration, minimizing the need for extensive coding, and allowing for open-source integration. It interfaces with prominent cloud data services like AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, in addition to various relational and non-relational databases such as Oracle, Snowflake, Teradata, SingleStore, and MongoDB. Furthermore, SAS Studio is compatible with multiple file formats, including Excel, text, Parquet, and ORC. Users have the flexibility to work with a no-code, low-code, or traditional coding approach, enabling them to construct comprehensive data pipelines through drag-and-drop operations, create Python and SAS code within SAS Studio or other IDEs, and integrate these components into SAS Studio workflows for secure and centralized data access. Additionally, SAS Studio accommodates both ELT and ETL methodologies, ensuring versatility in data handling. This adaptability makes SAS Studio a valuable tool for data professionals aiming to streamline their analytics processes.

Pillar Security serves as a comprehensive AI security platform designed to safeguard the agentic workforce throughout the entire AI lifecycle, encompassing stages from development to deployment and ongoing runtime protection. By integrating business context during phases of discovery, testing, and protection, it ensures that security intelligence accumulates across various AI applications, including agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, and both SaaS and cloud environments. The platform enables organizations to identify and manage AI assets effectively, even those that are unapproved or fall under shadow AI, while also evaluating risks related to supply chain and overall security posture. Additionally, it maps out the attack surfaces associated with agentic systems and verifies critical vulnerabilities that need addressing. With its AI Security Posture Management features, Pillar scrutinizes interconnected agents, tools, permissions, data sources, prompts, models, and supply chain elements to reveal high-risk pathways, policy breaches, misconfigurations, and potential threats posed by coding agents, all of which enhance the understanding of the impact when a single component encounters a breach. Ultimately, Pillar Security empowers organizations to maintain a robust security framework while navigating the complexities of AI technology.

The Lucidworks Platform is an advanced enterprise solution that utilizes artificial intelligence to revolutionize the way organizations interact with vast amounts of data, creating impactful digital experiences in real time. This platform empowers teams in search, commerce, knowledge management, and digital experiences to provide pertinent results, decipher user intentions, enhance conversion rates, and transform data into practical insights. By integrating Signals, Data Acquisition, Lucidworks Search, Lucidworks AI, and Lucidworks Studios, it facilitates the rapid launch of intelligent search experiences in a cohesive environment. Additionally, Lucidworks Data Acquisition connects with existing systems, seamlessly unifying both structured and unstructured data, which simplifies the processes of preparing, indexing, and utilizing information throughout the organization. Meanwhile, Lucidworks Search offers reliable enterprise search and discovery features, efficiently managing data preparation and query execution to ensure users receive relevant results in a timely manner. Overall, this platform serves as a comprehensive tool designed to optimize the way businesses harness and leverage their data resources.

Intellistack Streamline is an AI-powered workflow automation platform that helps organizations modernize outdated business processes while maintaining high standards of data security. The platform combines workflow automation, document generation, contract lifecycle management, eSignature capabilities, and system integrations into a single no-code environment. Organizations can connect business systems, databases, healthcare platforms, CRMs, and collaboration tools to automate workflows and eliminate manual data entry. Intellistack Streamline is built with a data-safety-first approach, ensuring that security and compliance remain foundational components of every workflow. The platform supports industries such as healthcare, higher education, finance, legal services, human resources, and operations where secure information handling is critical. Users can create digital forms, automate approvals, manage referrals, coordinate onboarding processes, track applications, and streamline contract management without relying on extensive technical resources. Its contract lifecycle management capabilities include document generation, redlining, AI-guided playbooks, status tracking, and workflow automation. The platform also helps organizations reduce software sprawl by consolidating multiple vendors and disconnected applications into a unified solution. Intellistack Streamline enables teams to improve productivity, reduce operational risk, enhance data governance, and create more efficient business processes.

Merciv serves as a consumer intelligence platform that seamlessly integrates your internal datasets with external insights into a dynamic, verified source of truth, enabling teams to swiftly address any inquiries regarding their consumers and brand. It consolidates four distinct knowledge sources: internal resources like research documents, presentations, spreadsheets, and platforms such as Snowflake, Looker, and SharePoint; external signals including social media, reviews, search and trend information, competitive actions, and pricing; syndicated data from providers like NielsenIQ, Circana, and Mintel; alongside Merciv's proprietary product and category information. The platform leverages a knowledge graph, hybrid retrieval systems, and the ability to execute code within spreadsheets, ensuring that the answers provided are accurate and grounded in credible sources. Teams utilize Merciv for various purposes such as analyzing consumer perceptions, conducting sentiment and complaint assessments at the SKU level, gathering competitive intelligence, monitoring trends, engaging in thorough research, developing data-driven personas, and creating decision-ready reports, briefs, and presentations. Every response generated is not only cited and permission-aware but also designed to be auditable, adhering to standards like SOC 2 Type II, incorporating tenant isolation, enabling zero-training, and supporting SSO/SCIM for seamless access management. With Merciv, organizations can confidently navigate the complexities of consumer intelligence, ensuring that they are equipped with the most reliable and comprehensive insights available.

Duvo.ai serves as a dynamic operations platform tailored for retail, FMCG, and CPG teams, adept at visualizing actual operational processes, creating enhanced workflows, and managing approved tasks through various systems including ERP, supplier portals, emails, spreadsheets, and internal tools. By accurately reflecting the current state of operations and designing improved methodologies, Duvo bridges the divide between ideal workflows and the realities of everyday tasks. With the innovative Duvo Clarity feature, teams can efficiently map workflows, departments, or teams within just a few days, utilizing a range of evidence-gathering methods such as screen recordings, structured interviews, and existing documentation. This process culminates in a comprehensive L4 process map that details tasks, systems, decisions, handoffs, exceptions, workarounds, rework, associated costs, potential savings, control boundaries, as well as identifying the most suitable candidates for automation or redesign. Furthermore, Duvo Automation takes the refined process map and converts it into actionable agents that seamlessly execute processes from start to finish across the pre-existing systems utilized by teams, thereby enhancing overall efficiency and productivity. Ultimately, this integration not only streamlines operations but also empowers teams to focus on strategic initiatives rather than getting bogged down by mundane tasks.

Memory AGI serves as a dynamic memory layer for AI agents, designed to provide them with authentic muscle memory. By integrating a portion of company data, it constructs a comprehensive knowledge and runtime memory framework that continually updates to reflect the organization's context, ensuring agents remain well-informed. The effectiveness of any AI hinges on the quality of the context provided; in its absence, agents are hindered and perform at a basic, intern-like level, often struggling to understand the company's operations. Memory AGI enhances traditional processes by transforming them into knowledgeable agents capable of reliable execution, thereby increasing accountability and transparency in their outputs. This innovative system is underpinned by three tiers of muscle memory. The initial layer, Dynamic Ingestion, efficiently captures and organizes the organization's distinct knowledge from various sources, including voice memos, internal documents, and existing data tools. The Runtime Memory Layer then offers agents access to a real-time, de-duplicated context database that serves as a shared knowledge base for employees, agents, and automation alike, enabling them to complete tasks with the proficiency of top-performing staff members. Ultimately, Memory AGI not only supports agents in their responsibilities but also fosters a culture of continuous learning and improvement within the organization.

VEDA, which stands for Visual Exploration and Decision Analytics, is an advanced decision analytics platform powered by AI and created by Samta.ai. This innovative tool allows businesses to seamlessly connect both structured and unstructured data from various enterprise systems into one cohesive intelligence layer, all while keeping the original data in place. With the help of conversational AI, users in the business realm can pose questions in everyday language and receive immediate, reliable insights, alongside interactive dashboards, charts, and reports—removing the necessity for SQL knowledge or any specialized technical skills. VEDA streamlines reporting processes, enhances decision-making capabilities, reveals patterns and discrepancies, and facilitates secure sharing of insights through access controls tailored to specific roles. The platform is built to work with existing data sources through a zero-copy architecture, making it suitable for applications in business intelligence, executive reporting, operational analytics, compliance reporting, and enterprise decision support for a variety of industries. Its design ensures that organizations can leverage their data more effectively and efficiently, ultimately leading to smarter business strategies and improved outcomes.

Enzy serves as a dynamic performance operating system designed to empower sales teams by transforming live business intelligence into coordinated actions, enhanced engagement, and a culture of high performance. It integrates seamlessly with current CRM systems and data sources, consolidating team activities into a single real-time feed that displays results, objectives, progress, and communication all in one accessible location. With Enzy AI, managers can pose straightforward questions regarding connected data, pinpoint team members who are either falling behind or excelling, identify potential revenue leaks, and receive timely recommendations for next steps. Instead of merely presenting historical data, it highlights important signals early on and translates raw activities into actionable coaching, competitions, incentives, and suggested strategies rooted in actual sales performance. The presence of live leaderboards ensures that performance remains a focal point, while individual profiles compile each representative's achievements and progress, fostering a sense of recognition. Additionally, goal tracking monitors pacing, allowing teams to evaluate if their current efforts are sufficient to meet targets, promoting an environment of accountability and continuous improvement. Ultimately, Enzy enables sales teams to harness their data effectively, driving productivity and ensuring everyone is aligned with their collective objectives.

Formal serves as a reverse proxy that is aware of protocols, enhancing security measures for databases, APIs, infrastructure, and AI tools by implementing least privilege principles at the wire-protocol layer. This tool is deployed as a singular stateless binary within a Virtual Private Cloud (VPC) using platforms like Terraform, Kubernetes, or Docker, effectively positioning itself between users and resources without necessitating alterations to applications, SDKs, or agents. Formal supports the analysis of over 15 distinct protocols, such as PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, which empowers it to make decisions based on specific queries rather than relying solely on broad network filtering. Furthermore, its policies can oversee user authentication and authorization, mask or filter data fields, modify requests, prohibit certain actions, mandate multi-factor authentication, isolate sessions, revoke access, or enable impersonation throughout the stages of session, request, and response. Additionally, teams have the capability to protect AI agents and MCP servers by eliminating personally identifiable information before it is processed by a model, preventing unauthorized calls to tools, and meticulously auditing each action taken. This comprehensive approach not only enhances security but also ensures compliance with data protection regulations.

Mavvrik operates as a sophisticated platform for managing costs associated with AI and hybrid infrastructure, providing a centralized hub for finance, FinOps, IT, and engineering teams to oversee GenAI, autonomous agents, GPUs, cloud systems, on-premises resources, Kubernetes, data platforms, and SaaS solutions. By consolidating cost, usage, and telemetry data from major providers such as AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, it establishes a comprehensive source of truth for the entire technology ecosystem. Teams can meticulously monitor each model interaction, agent engagement, GPU utilization, and resource workload, allowing for precise spending allocation across various dimensions, including customer, product, feature, project, application, environment, team, or cost center. Through in-depth analysis of cost-to-serve and unit economics, Mavvrik uncovers margin losses, identifies costly workloads, and clarifies the actual expenses involved in delivering each service. Additionally, its capability for real-time anomaly detection and alerts serves to flag unusual usage patterns before they escalate into unexpected budget overruns, while its predictive forecasting tools assist organizations in effectively modeling their cloud, GPU, and AI-related expenditures. This holistic approach empowers teams to make informed financial decisions and optimize resource utilization for sustained growth.

Intellrise serves as an AI-driven data analyst tailored for individuals and small teams, enabling users to connect a variety of data sources, including PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Snowflake, Databricks, Google Sheets, CSV, and Excel. Users can pose inquiries in straightforward English, while the platform generates and displays the corresponding SQL for review and modification prior to execution, ultimately providing visual outputs such as charts, dashboards, and reports that can be easily exported in formats like PDF, Excel, PowerPoint, Word, or CSV. Notably, a single inquiry can leverage multiple connected data sources, enhancing the analytical capabilities. Intellrise operates on a bring-your-own-key model for API access, allowing users to connect their own keys from Google Gemini, OpenAI, or Anthropic, which means they retain control over model selection and associated costs; however, it is essential to acquire an AI key beforehand, as no built-in model is provided. The service offers a free tier, with all new accounts commencing a 14-day Pro trial that requires no credit card information, while the Pro subscription is available at $29 per month or $24 per month with annual billing. Currently, the Pro plan is limited to single users, as shared team workspaces have yet to be implemented, but future updates may include collaborative features.

Kapiche is an analytics and insights product that makes sense of customer feedback data. It empowers you to make better decisions and positively impact your bottom line. Combine multiple data sources to quickly analyze 1000s of customer feedback responses. No setup, no manual coding, no code frames. Discover insights in minutes and not weeks. You can have complete confidence in your analysis. Answer business questions quickly with deep, actionable insights from all customer data sources. It takes only minutes, not weeks. Your insights analysts will provide insight to help ensure buy-in for your CX programs throughout the organization and drive customer-centric, impactful change. It is impossible to make the most effective business decisions using only quantitative customer information. The best insights come from combining qualitative and quantitative data at every stage of the customer journey.

The Intelligent Billing Platform – Gotransverse is a subscription-based and usage-based billing platform that's fully integrated for companies that require high volumes, sophisticated pricing and real time rating. Our SaaS subscription billing platform, Gotransverse, facilitates adoption and revenue growth for companies. It is designed for high volumes, sophisticated pricing, and rating. Integrate any data source to automate unlimited subscription billing software models at high volume. No matter how complex or large your volumes, you can take full advantage of usage-based, recurring, or one-time pricing. Flexible native cloud architecture with elastic scale for complex and enterprise billing platform requirements. This results in lower cost-to serve. Its configuration-based design increases agility and time-to-value for businesses. Our billing software experts are available to assist you at every stage. Our delivery assurance, implementation and customer success programs will help you find the right solution.

SnapLogic is easy to use, quickly ramp up and learn. SnapLogic allows you to quickly create enterprise-wide apps and data integrations. You can easily expose and manage APIs that expand your world. Reduce the manual, slow, and error-prone processes and get faster results for business processes like customer onboarding, employee off-boarding, quote and cash, ERP SKU forecasting and support ticket creation. You can monitor, manage, secure and govern all your data pipelines, API calls, and application integrations from one single window. Automated workflows can be created for any department in your enterprise within minutes, not days. SnapLogic platform can connect employee data from all enterprise HR apps and data sources to deliver exceptional employee experiences. Discover how SnapLogic can help create seamless experiences powered with automated processes.

Decision intelligence aims to empower employees with the ability to make faster, more informed decisions that will allow them to take corrective steps, capitalize on opportunities, and drive innovation. The data and analytics platform that is purpose-built to help enterprises make better, faster decisions. A new type of engine drives it. Streamlining the entire analysis workflow. One platform for all data, any person, and any analytics needs. This is the future for intelligent decisions. This new platform combines data preparation, data science, and business analytics into one integrated platform. Streamline all aspects of decision-making. Everything from discovery to publishing to modeling is interconnected (and easy-to-use). It can be run at hyper-scale to support any data-driven decision. Advanced data science is available for all business needs, from the C-Suite to frontline.

WhereScape is a tool that helps IT organizations of any size to use automation to build, deploy, manage, and maintain data infrastructure faster. WhereScape automation is trusted by more than 700 customers around the world to eliminate repetitive, time-consuming tasks such as hand-coding and other tedious aspects of data infrastructure projects. This allows data warehouses, vaults and lakes to be delivered in days or weeks, rather than months or years.

A 50% decrease in high bill inquiries has led to improved customer satisfaction. By proactively identifying cases that may lead to customer support needs, companies can preemptively address concerns. Implementing straightforward, timely, and actionable notifications offers a sophisticated method to engage with customers proactively, which helps lower the number of incoming calls. Providing tailored, proactive explanations for those who experience unexpectedly high bills prepares customers for potential changes in their energy usage patterns. Additionally, notifying customers about upcoming seasonal transitions and offering energy-saving suggestions can further enhance their experience. Integration with Google Home and Amazon Echo allows for personalized insights, enabling customers to inquire about billing, outages, itemization of appliances, bill forecasts, utility programs, and much more. Call center representatives often face challenges when addressing bill-related inquiries, which can lead to expensive escalations and unnecessary truck rolls. The Bidgely Bill Analyzer, an AI-driven tool for customer service representatives, equips agents with detailed appliance-level usage data for each customer, enhancing their ability to resolve issues effectively. In doing so, it not only streamlines the support process but also fosters a more informed and satisfied customer base.

A visual inspection platform that manages data, speeds troubleshooting, scales deployment, and more. LandingLens is an AI visual inspection platform that works for businesses. Your labeling process is faster by as much as half and model deployment times by up to 67%. You can manage a few thousand to thousands of models using very little resources. Smart labeling and data generation improve the accuracy of your machine-learning models. You can track and manage the efficiency and current data assets of AI projects and deploy solutions across all company sites. Alerts you when the model drifts. You can easily update and adjust your solutions without having to rely on a third-party AI team. Allow manufacturers to develop, deploy, manage and monitor industrial AI projects using a single integrated platform.

Soda helps you manage your data operations by identifying issues and alerting the right people. No data, or people, are ever left behind with automated and self-serve monitoring capabilities. You can quickly get ahead of data issues by providing full observability across all your data workloads. Data teams can discover data issues that automation won't. Self-service capabilities provide the wide coverage data monitoring requires. Alert the right people at just the right time to help business teams diagnose, prioritize, fix, and resolve data problems. Your data will never leave your private cloud with Soda. Soda monitors your data at source and stores only metadata in your cloud.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

You've spent years building up your business. Don't let cyber criminals destroy that in seconds. REDXRAY's proprietary intelligence feeds can identify threats daily against your networks, target companies/agencies, or supply chain. The emailed threat report covers the following types of threats: Botnet Tracker (also known as Botnet Tracker), Breach Data (also known as Breach Data), Keylogger Records (also known as Keylogger Records), Malicious Emails Context and Malicious Email Detections), OSINT Records, Sinkhole Traffic and THREATRECON Records.

AppScope introduces a revolutionary method for black-box instrumentation, providing comprehensive and consistent telemetry from any Linux executable simply by adding scope before the command. When you engage with customers who utilize Application Performance Management, they often express their satisfaction with the solution but lament the limited extension to additional applications. Typically, only a small fraction—10% or less—of their applications are equipped with APM, while they rely on basic metrics for the remainder. This raises the question: what happens to the other 80%? This is where AppScope comes into play. It eliminates the need for language-specific instrumentation and does not require input from application developers. As a language-agnostic tool that operates entirely in userland, AppScope can be utilized with any application and seamlessly scales from command-line interfaces to production environments. Users can channel AppScope data into any pre-existing monitoring tool, time-series database, or logging solution. Furthermore, AppScope empowers Site Reliability Engineers and Operations teams to closely analyze live applications, providing insights into their functionality and performance across various deployment environments, whether on-premises, in the cloud, or within containerized systems. This capability not only enhances monitoring but also fosters a deeper understanding of application behavior, paving the way for improved performance management.

Experience a developer-centric approach to production environments that enhances security without hindering productivity. Easily implement approval workflows for sensitive actions, keep a detailed log of activities, and connect identity providers to command line interfaces, ensuring your team remains engaged and efficient. Compatible with any command line tool, Cased seamlessly integrates into your existing processes, from MySQL to bespoke deployment scripts, without causing disruptions. Set up takes just moments, thanks to our lightweight, agentless solution that maintains the integrity of your CLI commands. Enjoy straightforward, customizable just-in-time approvals for both developer and staff tools, with options to approve requests via Slack, Microsoft Teams, and SMS, integrating seamlessly into your current toolkit. Cased is aware of your on-call schedule, allowing for automatic approvals that facilitate smooth on-call rotations. Visibility into actions begins with identity, enabling you to provision access to production environments through your identity provider and know exactly who is performing each action. Tailored to meet your needs, Cased lets you carry your dotfiles across all servers, enhancing your development experience. With Cased, you gain the confidence of robust security measures while empowering your team to work efficiently and effectively.

Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data. Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units. Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.

Monad serves as a comprehensive security data cloud platform that simplifies the processes of extracting, transforming, and loading (ETL) data from a variety of security tools into a cohesive data warehouse. This platform empowers security teams to efficiently export data from their existing tools, customize it into tailored data models, and seamlessly deliver it to their data warehouses, thereby enabling smooth integration and deeper analysis. Additionally, it provides capabilities for security, DevOps, and cloud engineering teams to engage with data using SQL and business intelligence tools, which improves their effectiveness in normalizing, transforming, and enriching data to enhance security and compliance results. With its intuitive interface and robust enterprise-grade connectors, Monad makes it easy to establish a security data lake, assisting organizations in breaking down data silos and gaining valuable insights and analytics that contribute to effective security management. The ability to unify disparate data sources fosters a more holistic view of security metrics, ultimately leading to more informed decision-making and proactive risk management.

Skyflow allows you to run workflows, logic, and analytics on encrypted data. Skyflow uses multiple encryption and tokenization methods to ensure maximum security. With auditable logs, provenance, and data residency, you can manage access to your data and policy enforcement. Compliance is possible in minutes, not weeks. It's easy with our trusted infrastructure and simple REST or SQL APIs. Tokenization is required for compliance. An encrypted data store allows you to search, analyze, and make use of secure data. Skyflow can be run in any virtual private cloud you prefer. It can be used as a secure gateway, zero trust storage, and many other purposes. Replace a difficult-to-maintain patchwork of point solutions with a single cost-effective data vault. You can use your sensitive data in any application or workflow without ever having to decrypt it.

Monitor customer interactions, sales transactions, purchase orders, shipments, and inventory as they occur across various systems, business operations, partners, and regions. SoundCommerce collects comprehensive data regarding customers, orders, purchase orders, shipments, products, and inventory from a range of SaaS platforms, cloud services, backend systems, and partner networks using both pre-built and customizable connectors. You can activate native data connections within minutes. This solution allows for the permanent storage of operational events for future analysis, thereby removing the need for source API dependencies while reducing load times and latency issues. SoundCommerce creates detailed and prescriptive data models that accurately represent your specific transactional systems, product catalogs, fulfillment centers, inventory status across different locations, and the complete flow of sales and purchase orders, shipments, as well as the post-conversion experiences of customers. This comprehensive modeling facilitates better decision-making and enhances operational efficiency across your organization.

Radicalbit Natural Analytics (RNA) serves as a comprehensive DataOps platform designed for the integration of streaming data and the execution of real-time advanced analytics. It simplifies the process of delivering data to the appropriate users at the optimal time. RNA empowers its users with cutting-edge technologies in a self-service format for instantaneous data processing, leveraging Artificial Intelligence to derive meaningful insights from the data. This platform streamlines the traditionally labor-intensive data analysis process and presents critical findings in clear, accessible formats. Users can maintain real-time situational awareness, allowing for swift and effective responses to emerging situations. By promoting efficiency and optimization, RNA fosters collaboration among previously isolated teams. It offers a centralized dashboard for managing and monitoring models, enabling users to deploy their evolving models in mere seconds, all without experiencing any downtime. Additionally, the platform ensures that teams can stay agile and responsive in a fast-paced data environment.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Data is essential to improve the efficiency, profitability, and experience of streaming video. Datazoom allows video publishers to manage distributed architectures more efficiently by centralizing, standardizing and integrating data in real time. This creates a more powerful data pipeline, improves observability and adaptability, as well as optimizing solutions. Datazoom is a video data platform which continuously gathers data from endpoints such as a CDN or video player through an ecosystem of collectors. Once the data has been gathered, it is normalized with standardized data definitions. The data is then sent via available connectors to analytics platforms such as Google BigQuery, Google Analytics and Splunk. It can be visualized using tools like Looker or Superset. Datazoom is your key for a more efficient and effective data pipeline. Get the data you need right away. Do not wait to get your data if you have an urgent issue.

Easily discover and engage with the companies within your partner ecosystem with just a few clicks. If they haven't joined Crossbeam yet, we'll ensure a smooth onboarding process at no expense to you or them. Bid farewell to spreadsheets and embrace partner intelligence driven by data. Initiate connections with partners and begin account mapping to receive updates about mutual customers, shared pipelines, and additional insights. Leverage your partner ecosystem as a powerful asset to generate new leads, propel opportunities, and finalize deals. Coordinate and communicate your strategies seamlessly through Slack, Salesforce, and the tools you already utilize daily. Enhance your existing sales, marketing, and customer success platforms with valuable partner insights from Crossbeam. Our integration marketplace facilitates the flow of your data to crucial destinations, including ABM tools and ETL pipelines, ensuring it reaches where it can create the most impact. With these capabilities, your partnerships can reach new heights and drive significant business growth.

The Cognitive Assisted Smart Intelligent Employee (CASIE) acts as a cloud-based chatbot designed specifically for employee training and assistance. It utilizes the organization’s knowledge and service resources to provide both training and self-service support for employees. This chatbot can seamlessly integrate with your company’s databases, project management tools, and social media platforms, harnessing intelligence and cognitive capabilities to offer immediate assistance and relevant information. CASIE is compatible with various front-facing communication platforms, including Facebook, MS Teams, Slack, WhatsApp, and Skype, among others. Business owners can leverage this platform to enhance employee training and promote autonomy in the workplace without disrupting ongoing operations. By effectively capturing user intent, CASIE tailors its responses to the context of the inquiries made by employees. With rapid access to accurate information, employees are empowered to focus more on productive tasks, ultimately enhancing overall workplace efficiency. This innovative approach not only streamlines employee interactions but also fosters a culture of continuous learning and development within the organization.

As a digitally empowered outsourcing provider, we specialize in offering People as a Service solutions tailored for high-growth, innovative, and tech-savvy companies that aim to take charge of customer interactions, manage intricate tasks, and enhance their brand presence. Helpware envisions a future where consumer empowerment is paramount, delivering exceptional interaction experiences through seamlessly integrated human task services facilitated by APIs. We collaborate with some of the most dynamic and rapidly expanding brands globally to ensure the continuous delivery of outstanding customer experiences. Our comprehensive business process outsourcing services include a wide range of solutions designed to cultivate brand loyalty, such as call center operations, answering services, IT support, chat, technical assistance, and email management. Our inbound and outbound call center teams are meticulously crafted to support and evolve alongside your existing staff. By prioritizing investment in our people and organizational culture, we aim to provide better services and create custom teams tailored specifically for your needs. Our tech-enabled, motivated, and cohesive teams are dedicated to enhancing global customer engagement and satisfaction, ultimately driving your business forward. This commitment to excellence ensures that we not only meet but exceed the expectations of the brands we partner with.

Empower your business and IT teams to collaboratively create software solutions. Realize value in moments rather than months with our no-code platform that transforms your spreadsheet logic—encompassing intricate rules, calculations, and data models—into fully functional APIs in an instant. This innovation allows for seamless integration of spreadsheets into APIs, while also centralizing, securing, and auditing your business logic. Experience automation in complex modeling, testing, and business impact simulations, significantly reducing your time to market from what once took months to as little as days or even hours. Regardless of your position, Coherent Spark is designed to help you unlock value for your organization. Business leaders and teams alike turn to Coherent to enhance revenue and improve anticipated ROI. With the ability to launch flexible products, your company gains a competitive advantage in the market. Ultimately, our technology fosters greater collaboration between your business and IT teams, enhancing overall speed and operational efficiency. This synergy will not only streamline processes but also lead to innovative solutions that propel your business forward.

Create continuously improving predictive models effortlessly, without the need for intricate engineering processes. Seamlessly integrate with your current cloud data warehouse, utilizing all available data in its existing location. Effortlessly share features and deploy advanced machine learning models using just SQL or dbt, or expand functionality with Python if needed. Keep predictions organized within your data warehouse for straightforward access by your business intelligence and operational systems. Manage features and predictions directly in your data warehouse, eliminating the need for additional infrastructure. Construct cutting-edge models that capitalize on all your data without the necessity of writing code or establishing pipelines. Foster collaboration between analytics and AI teams through the comprehensive extensibility of Continual's declarative AI framework. Oversee features, models, and policies using a declarative GitOps workflow as your operations expand. Enhance the speed of model development with a collaborative feature store and a data-centric approach, while also ensuring cross-team communication remains seamless. This innovative approach allows for a more integrated and efficient workflow, ultimately driving better insights and outcomes.

Launch highly targeted marketing campaigns swiftly by leveraging your cloud data warehouse without the stress of storage costs, data access limitations, and reliance on engineering support. This approach allows you to operate at double the efficiency while reducing costs by 75%, resulting in a remarkable fourfold increase in return on investment. Utilize our intuitive visual builder to craft adaptable and impactful user segments for executing your ideal marketing strategies. Experience a pricing structure that is not only budget-friendly but also scales effortlessly alongside your expanding customer data requirements. Concerns about data volume will be a thing of the past as you gain access to comprehensive backfilled data, allowing for the development of thorough customer profiles that enhance engagement. Design insightful segments based on a complete 360-degree view of your data housed in the warehouse, enabling limitless possibilities. Bypass the cumbersome initial integration process by connecting directly to your Customer Engagement Platform (CEP) and start your campaign journey immediately. This way, you can minimize reliance on your data team for constructing complex and potentially faulty pipelines, allowing them to focus on areas where their expertise truly adds value. The freedom to innovate and execute is now in your hands.