Alternatives to Espresso AI

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

With our comprehensive insights and recommendations suite, managing and refining costs becomes remarkably straightforward. Our advanced models analyze expenses at the finest level of detail, allowing you to determine the cost associated with a single query or an entire table. By aggregating data workloads, you can gain insights into their cumulative expenses over time. Identify which actions will lead to specific outcomes, enabling your team to remain focused and prioritize addressing only the most critical technical debt. Learn how to set up your data workloads in a manner that maximizes cost efficiency. Achieve significant savings without the need to modify existing queries or eliminate tables. Additionally, enhance your team's knowledge through tailored query suggestions. Strive for a balance between effort and results to ensure that your initiatives deliver the best possible return on investment. Teams have reported cost reductions of up to 30% through incremental changes, showcasing the effectiveness of our approach. Overall, this empowers organizations to make informed decisions while optimizing their resources effectively.

Chaos Genius serves as a DataOps Observability platform specifically designed for Snowflake, allowing users to enhance their Snowflake Observability, thereby minimizing costs and improving query efficiency. By leveraging this platform, organizations can gain deeper insights into their data operations and make more informed decisions.

Tabular is an innovative open table storage solution designed by the same team behind Apache Iceberg, allowing seamless integration with various computing engines and frameworks. By leveraging this technology, users can significantly reduce both query times and storage expenses, achieving savings of up to 50%. It centralizes the enforcement of role-based access control (RBAC) policies, ensuring data security is consistently maintained. The platform is compatible with multiple query engines and frameworks, such as Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python, offering extensive flexibility. With features like intelligent compaction and clustering, as well as other automated data services, Tabular further enhances efficiency by minimizing storage costs and speeding up query performance. It allows for unified data access at various levels, whether at the database or table. Additionally, managing RBAC controls is straightforward, ensuring that security measures are not only consistent but also easily auditable. Tabular excels in usability, providing robust ingestion capabilities and performance, all while maintaining effective RBAC management. Ultimately, it empowers users to select from a variety of top-tier compute engines, each tailored to their specific strengths, while also enabling precise privilege assignments at the database, table, or even column level. This combination of features makes Tabular a powerful tool for modern data management.

Nao is an innovative data IDE powered by artificial intelligence, specifically tailored for data teams, seamlessly merging a code editor with direct access to your data warehouse, enabling you to write, test, and manage data-related code while retaining complete contextual awareness. It is compatible with various data warehouses, including Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Upon connection, nao enhances the conventional data warehouse console by providing features like schema-aware SQL auto-completion, data previews, SQL worksheets, and effortless navigation between multiple warehouses. At the heart of nao lies its intelligent AI agent, which possesses comprehensive knowledge of your data schema, tables, columns, metadata, as well as your codebase or data-stack context. This agent is capable of generating SQL queries, constructing entire data transformation models such as those used in dbt workflows, refactoring existing code, updating documentation, conducting data quality assessments, and performing data-diff tests. Furthermore, it can uncover insights and facilitate exploratory analytics, all while maintaining strict adherence to data structure and quality standards. With its robust capabilities, nao empowers data teams to streamline their workflows and enhance productivity significantly.

PawSQL embodies the leading practices of query optimization within the database sector, offering sophisticated SQL rewrite enhancements and advanced index suggestions aimed at addressing sluggish queries. Leveraging the expertise of its professional optimization engine, which boasts a user base of over 10,000 database professionals globally, PawSQL delivers an extensive array of SQL optimization advice along with smart index recommendations. Additionally, it features a well-rounded audit rule framework designed for various database systems, including MySQL, PostgreSQL, openGauss, and Oracle, ensuring that enterprises enjoy a uniform auditing experience across their diverse database landscapes. The rule-oriented SQL evaluation focuses on identifying potential correctness flaws and opportunities for performance enhancement. By providing rich rewrite optimization, it suggests semantically equivalent yet more efficient SQL queries, while the cost-based validation confirms that the proposed solutions from SQL rewrites and index recommendations yield superior performance outcomes. Furthermore, PawSQL’s intelligent index recommendation feature enables users to optimize their query performance effectively.

Keebo datalearning is a great option if you are concerned about cloud warehousing costs rising and your data team spending hours optimizing queries and data modeling, or if users are complaining of slow dashboards. Snowflake is a great platform, but it can also be very expensive. Keebo's fully automated optimizations can cut down your Snowflake costs in a matter of minutes. We only charge a percentage of the savings we make for you. There are no savings and no charges Are you busy with other priorities? Keebo takes only 30 minutes from start to finish. You can set it and forget about it. You don't have to install anything, or grant access to any data. Poorly performing queries are a problem for every data team, requiring so much manual effort, time, and expertise. You can get the performance you want without putting in so much effort. You can improve performance across all platforms with a platform-independent solution. This increases the ROI of your existing data and analytics stack. Implement with zero code, zero changes & zero migration.

Skymel is an innovative cloud-native platform for AI orchestration that centers around its real-time Orchestrator Agent (OA) and the accompanying AI assistant, ARIA. The Orchestrator Agent facilitates the creation of both fully automated runtime agents and dynamic agents managed by developers, which can easily integrate with any device, cloud service, or neural network framework. Utilizing NeuroSplit’s advanced distributed-compute technology, it enhances inference efficiency by intelligently directing each request to the most suitable model and execution environment—whether that be on-device, in the cloud, or a hybrid setup—all while standardizing error handling and significantly lowering API costs by 40–95%, thus boosting overall performance. Built on the foundation of OA, Skymel ARIA provides a cohesive and synthesized response to any inquiry by coordinating real-time access to AI models like ChatGPT, Claude, and Gemini, effectively eliminating the need for cumbersome manual prompt chains and the hassle of managing multiple subscriptions. This seamless integration and orchestration of AI tools not only streamlines workflows but also empowers users with a more efficient and user-friendly experience.

FeatureByte acts as your AI data scientist, revolutionizing the entire data lifecycle so that processes that previously required months can now be accomplished in mere hours. It is seamlessly integrated with platforms like Databricks, Snowflake, BigQuery, or Spark, automating tasks such as feature engineering, ideation, cataloging, creating custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving—whether online or in batch—all within a single, cohesive platform. The GenAI-inspired agents from FeatureByte collaborate with data, domain, MLOps, and data science experts to actively guide teams through essential processes like data acquisition, ensuring quality, generating features, creating models, orchestrating deployments, and ongoing monitoring. Additionally, FeatureByte offers an SDK and an intuitive user interface that facilitate both automated and semi-automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval workflows, role-based access control, alerts, and version management, which collectively empower teams to rapidly and reliably construct, refine, document, and serve features. This comprehensive solution not only enhances efficiency but also ensures that teams can adapt to changing data requirements and maintain high standards in their data operations.

Cloudchipr is an innovative platform for cloud optimization that equips teams with AI-driven agents capable of addressing inquiries, clarifying irregularities, generating reports, delegating tasks, and much more. It delivers instantaneous visibility and automation for active cloud resources, allowing users to monitor, manage, and forecast expenses across major cloud providers such as AWS, GCP, and Azure. With an array of features including customizable dashboards, a resource explorer, and real-time usage management, Cloudchipr facilitates a cohesive management experience for resources spanning multiple cloud environments. Additionally, it enables cost distribution based on adaptable rules via Dimensions and features no-code automation workflows to enhance operational efficiency. Users can seamlessly integrate various organizational tools to foster collaboration, monitor resource utilization commitments, and pinpoint potential savings opportunities through a centralized interface. Furthermore, Cloudchipr prioritizes enterprise-level security compliance while offering compatibility with platforms like Snowflake and Kubernetes, ensuring that organizations can effectively manage their cloud infrastructure without compromising security. Ultimately, this platform stands out by not only simplifying cloud management but also driving significant cost savings and operational effectiveness.

The Mac web editor has made its return, aimed at those who create engaging, cutting-edge, and swift websites with a matching application. Espresso empowers users to write, code, design, construct, and launch their projects with both style and efficiency. It boasts advanced text capabilities, an impressive Live Preview feature with Browser Xray, CSSEdit tools, a Navigator for easy navigation, Dynamo for automatic building, and Server Sync for seamless updates. Regardless of whether you are developing a website from the ground up or making adjustments to an existing one, Espresso is designed to meet your needs. You can modify CSS on live sites and instantly observe your design changes without the hassle of publishing, reloading, or saving. Espresso uniquely allows for an enjoyable, straightforward, and non-destructive experience when working with live projects. The latest version of Espresso enables you to create not only high-quality standard CSS but also modular SCSS and LESS. With its stunning navigator, Dynamo's auto-building capabilities, and exceptional integration with live previews and overrides, styling becomes an absolute pleasure. This combination of features makes Espresso an indispensable tool for modern web development.

Tragal is a no-code AI platform that empowers businesses to create custom AI agents easily and affordably. With Tragal, you can build and deploy AI agents tailored to your specific business needs—whether it’s managing customer queries, scheduling meetings, generating leads, or organizing your knowledge base. The platform integrates seamlessly with your existing systems, allowing you to leverage your company’s data without requiring technical expertise. Tragal’s agents are designed to provide intelligent, personalized interactions with customers and streamline business operations. With 99.8% uptime and 24/7 support, Tragal ensures that your AI-powered solutions are always reliable and efficient.

CloudCut, developed by Very Technology, transforms your business operations by relocating compute-intensive processes to the edge, which significantly reduces cloud expenses and enhances responsiveness. This innovative solution allows you to speed up your applications, safeguard your data, and lower cloud costs directly at the data source. By utilizing this technology, businesses can achieve up to a 94% reduction in cloud expenditures while also boosting performance and responsiveness, even in environments with limited connectivity or offline capabilities. Additionally, it promotes data privacy by executing tasks on-device, ensuring compliance with security standards. Among its many advantages are the decreased reliance on infrastructure through scalable edge processing, preparation for future agent-based AI initiatives, a smaller environmental footprint due to minimized data transmission and cloud usage, and the ability to maintain essential operations without internet access, leveraging local computational power. With CloudCut, you can keep your crucial operations operational, even during unexpected network disruptions, thereby reinforcing the reliability of your business processes.

CloudWize empowers cloud teams to restore oversight and authority in their dynamic cloud ecosystems, fostering a streamlined and trouble-free cloud infrastructure. By enabling swift troubleshooting, teams can avert recurring issues, identify deviations from established best practices, optimize expenses related to cloud services, and ensure compliance with all security protocols. Receive timely notifications regarding changes that could heavily impact costs, allowing for proactive budget management and preventing overruns. Equip your FinOps team with tools to efficiently identify and investigate misconfigurations that affect financial performance, thereby eliminating persistent cloud setup mistakes. Consistently apply insights from CloudOps and FinOps to enhance operational efficiency. Leverage our sophisticated multi-service querying features to dissect your architecture, and employ our intuitive graphic language to uncover potential cost reductions, refine configurations, or identify policy violations, all aimed at minimizing risks of downtime or exposure, ultimately enhancing overall cloud management. By integrating these capabilities, teams can achieve a higher level of operational excellence in their cloud endeavors.

OCTIME espresso is an all-in-one time management solution tailored for organizations with fewer than 200 employees. By integrating the OCTIME espresso system, you can enhance your long-term HR management with a cost-effective and scalable solution. This approach simplifies human resources management, eliminating the need for internal technical expertise to maintain your IT infrastructure, such as handling replacements during staff absences or managing specialized skill sets. With the Octime espresso application, all your managers can access it anytime, anywhere, simply by using an Internet connection and a web browser, whether at the office, at home, or on the go. Additionally, the platform streamlines the evolution of your application, as the automatic deployment of corrective patches spares you from tedious yet necessary tasks. Thus, OCTIME espresso not only simplifies processes but also ensures your HR management remains efficient and adaptable to changing needs.

Enhance on-demand accessibility to production, development, and testing environments, facilitating superior innovation, accelerating application delivery, and optimizing the transition to production. Our team focuses on crafting and deploying cloud infrastructure tailored to meet your current and future business requirements. We excel in creating web-scale architectures characterized by load balancing, automatic scaling, self-healing capabilities, and cost efficiency. You will only incur costs for the resources you utilize, while still being equipped to handle demand surges. Adopting the Infrastructure as Code approach allows us to create infrastructure that is self-documenting, version-controlled, and automated. This enables you to gain valuable insights into your applications, pinpoint performance bottlenecks, comprehend resource needs, automatically adjust scaling when necessary, and notify relevant stakeholders. Additionally, we collaborate closely with your developers to refine and enhance your application's build and deployment pipeline, ensuring seamless integration and improved workflow. By leveraging these strategies, you can achieve a more agile and responsive development cycle.

Costimizer serves as an Agentic FinOps platform that aims to streamline and enhance the management of costs across multiple cloud environments. Offering immediate visibility, automation features, and insights powered by artificial intelligence, the platform equips enterprises and system integrators with the tools needed to minimize waste, enhance governance, and scale their operations both securely and efficiently. We strive to create a transparent and self-sustaining FinOps ecosystem that enables CXOs, finance teams, and DevOps professionals to make informed, proactive decisions based on data. Our overarching vision is to empower businesses to optimize their savings, accelerate their operations, and concentrate on innovation instead of constantly addressing cost-related issues, thereby fostering a more strategic approach to financial management.

Pylar serves as a secure intermediary layer for data access, allowing AI agents to interact safely with structured information while preventing direct database connections. To start, users connect various data sources, which may include platforms like BigQuery, Snowflake, PostgreSQL, as well as business applications such as HubSpot or Google Sheets, to Pylar. Following this, governed SQL views can be generated using the intuitive SQL IDE provided by Pylar; these views specify the precise tables, columns, and rows that agents may access. Additionally, Pylar enables the creation of “MCP tools,” which can be developed through natural-language prompts or manual setups, converting SQL queries into standardized, secure operations. After the development and thorough testing of these tools, they can be published, allowing agents to retrieve data via a unified MCP endpoint that integrates seamlessly with various agent-building platforms, including custom AI assistants and no-code automation solutions like Zapier, n8n, and LangGraph, as well as development environments like VS Code. This streamlined access not only enhances security but also optimizes the efficiency of data interactions for AI agents across diverse applications.

WarpStream serves as a data streaming platform that is fully compatible with Apache Kafka, leveraging object storage to eliminate inter-AZ networking expenses and disk management, while offering infinite scalability within your VPC. The deployment of WarpStream occurs through a stateless, auto-scaling agent binary, which operates without the need for local disk management. This innovative approach allows agents to stream data directly to and from object storage, bypassing local disk buffering and avoiding any data tiering challenges. Users can instantly create new “virtual clusters” through our control plane, accommodating various environments, teams, or projects without the hassle of dedicated infrastructure. With its seamless protocol compatibility with Apache Kafka, WarpStream allows you to continue using your preferred tools and software without any need for application rewrites or proprietary SDKs. By simply updating the URL in your Kafka client library, you can begin streaming immediately, ensuring that you never have to compromise between reliability and cost-effectiveness again. Additionally, this flexibility fosters an environment where innovation can thrive without the constraints of traditional infrastructure.

When PostgreSQL serves as the foundation of your enterprise and is a key data source, PeerDB offers an efficient, straightforward, and economical solution for replicating data from PostgreSQL to data warehouses, queues, and storage systems. It is engineered to function seamlessly at any scale and is specifically adapted for various data repositories. By utilizing replication messages sourced from the PostgreSQL replication slot, PeerDB adeptly replays schema updates while providing alerts for slot growth and active connections. It also includes native support for PostgreSQL toast columns and large JSONB columns, making it particularly advantageous for IoT applications. The platform features an optimized query architecture aimed at minimizing warehouse expenditures, which is especially beneficial for users of Snowflake and BigQuery. Additionally, it accommodates partitioned tables through both publication mechanisms. PeerDB ensures rapid and reliable initial data loads via transaction snapshotting and CTID scanning techniques. With features such as high availability, in-place upgrades, autoscaling, advanced logging, comprehensive metrics, and monitoring dashboards, as well as burstable instance types, it is also well-suited for development environments. Overall, PeerDB stands out as a versatile tool that effectively meets the diverse needs of modern data management.

Enhance the efficiency of agents and managers alike by providing your support team with an integrated contact center and a comprehensive communications solution. Whether your team is in a traditional office setting or working remotely, we have the ideal solution tailored for you. Our platform boasts advanced features that remain user-friendly, making it easier than ever to manage high volumes of customer inquiries. The Collaboration tool allows agents to maintain connectivity and seek assistance from colleagues or external experts for more intricate issues, all within a single system. You can easily access, customize, and construct your FAQs to suit your needs. By establishing a centralized hub of information for your support team, you will significantly reduce the time spent searching for answers. Furthermore, managers can benefit from a customizable analytics dashboard designed to process all gathered data reports, transforming them into actionable insights to enhance your business strategies. With this comprehensive solution, improving overall support efficiency is not just a possibility but a guarantee.

Lorikeet is an advanced AI support agent specifically engineered to tackle intricate customer service challenges by employing workflows similar to those used by human representatives. In contrast to simple AI chatbots that are confined to addressing basic inquiries, Lorikeet's distinctive design empowers it to execute tasks that align closely with human capabilities, thereby enabling organizations to enhance their support services without the need to expand their workforce. This AI solution integrates effortlessly with current support infrastructures, tapping into help centers, resource guides, and standard operating procedures to deliver precise and context-aware responses. It interacts with customers when it possesses enough context and appropriately escalates issues to human agents when required, ensuring that every interaction is both suitable and assured. Lorikeet adeptly navigates intricate, multi-step procedures, collecting information, making informed decisions, liaising with internal teams as needed, and fostering conversations that resemble human dialogue, all while maintaining a high level of reliability. Through its sophisticated capabilities, Lorikeet not only improves efficiency but also enhances customer satisfaction by providing timely and effective support.

Fin is the #1 AI agent for customer service, recognized for delivering superior performance by resolving up to 65% of complex support queries end-to-end. The platform offers a unified workspace where teams can monitor, analyze, train, test, and deploy AI models effortlessly without any coding skills, driving continuous improvements in response quality. Fin’s patented AI Engine™ employs advanced retrieval-augmented generation technology to refine queries, generate accurate responses, validate outputs, and optimize overall efficiency. It supports seamless integration with any helpdesk system, including Intercom, Zendesk, Salesforce, and more, enabling omnichannel customer support across voice, email, live chat, WhatsApp, Facebook Messenger, Slack, and others. The system is highly adaptable, following existing automation rules and providing smooth handoffs to human agents when needed. Fin is trusted by leading companies like Lightspeed and Anthropic and comes with certifications for data security and privacy compliance. Its pricing is based on a pay-per-resolution model, making it a cost-effective solution for businesses of all sizes. A free 14-day trial and personalized demos are available to help teams get started quickly.

Efficiently provision, manage, and scale your computing infrastructure across any cloud platform while potentially reducing your expenses by as much as 80%, all while upholding service level agreements and ensuring high availability. Elastigroup is a sophisticated cluster management software created to enhance both performance and cost efficiency. It empowers organizations of varying sizes and industries to effectively utilize Cloud Excess Capacity, enabling them to optimize their workloads and achieve savings of up to 90% on compute infrastructure costs. Utilizing advanced proprietary technology for price prediction, Elastigroup can reliably deploy resources to Spot Instances. By anticipating interruptions and fluctuations, the software proactively adjusts clusters to maintain seamless operations. Furthermore, Elastigroup effectively harnesses excess capacity from leading cloud providers, including EC2 Spot Instances from AWS, Low-priority VMs from Microsoft Azure, and Preemptible VMs from Google Cloud, all while minimizing risk and complexity. This results in straightforward orchestration and management that scales effortlessly, allowing businesses to focus on their core activities without the burden of cloud infrastructure challenges.

CelerData is an advanced SQL engine designed to enable high-performance analytics directly on data lakehouses, removing the necessity for conventional data warehouse ingestion processes. It achieves impressive query speeds in mere seconds, facilitates on-the-fly JOIN operations without incurring expensive denormalization, and streamlines system architecture by enabling users to execute intensive workloads on open format tables. Based on the open-source StarRocks engine, this platform surpasses older query engines like Trino, ClickHouse, and Apache Druid in terms of latency, concurrency, and cost efficiency. With its cloud-managed service operating within your own VPC, users maintain control over their infrastructure and data ownership while CelerData manages the upkeep and optimization tasks. This platform is poised to support real-time OLAP, business intelligence, and customer-facing analytics applications, and it has garnered the trust of major enterprise clients, such as Pinterest, Coinbase, and Fanatics, who have realized significant improvements in latency and cost savings. Beyond enhancing performance, CelerData’s capabilities allow businesses to harness their data more effectively, ensuring they remain competitive in a data-driven landscape.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

Beye is an innovative generative business intelligence platform designed to rapidly process and cleanse raw data from various sources like spreadsheets, ERPs, and cloud applications, creating cohesive and AI-enhanced data environments in a matter of weeks instead of months. Its generative BI agent automatically constructs your initial data model and introductory dashboards tailored to your specific needs, utilizing metadata, semantic layers, and measures while eliminating the need for manual data preparation. Users at all levels, from business personnel to executives, can pose inquiries in straightforward English without requiring knowledge of SQL or navigating complex dashboards, gaining immediate access to detailed analytics, contextual insights, and explanations of underlying causes with verifiable queries. Furthermore, Beye integrates flawlessly with platforms such as SAP, Snowflake, Salesforce, and NetSuite, among more than 50 other data sources, enabling collaborative features and personalized metrics while ensuring the reliability of responses through AI-powered workflows. Ultimately, Beye empowers organizations to make data-driven decisions more efficiently and confidently.

EspressoID is an affordable and easy-to-use software that streamlines the process of crafting professional ID cards. This software boasts unlimited data fields, a variety of design templates, and a limitless number of cardholder entries, ensuring no hidden costs are involved. The user-friendly card designer accommodates multiple image formats and offers an array of text formatting options such as alignment, rotation, font styling, and transparency adjustments. In addition to being compatible with widely-used PVC ID card printers like Magicard, Fargo, Zebra, and Evolis, it also works seamlessly with Avery label sheets and Teslin lamination media suitable for both inkjet and laser printers. The software further enhances security and attendance tracking by enabling barcode printing, magnetic stripe encoding, and the application of password protection on data fields and card templates. Moreover, features such as the ability to print multiple cards in batches, import and export CSV files, and compatibility with Twain and DirectShow interfaces make EspressoID a comprehensive solution for ID card creation. With its versatile capabilities, EspressoID stands out as a reliable choice for organizations looking to efficiently manage their identification card needs.

Rakam offers tailored reporting capabilities for various teams, ensuring that no group is confined to a single interface. It seamlessly converts the inquiries made in its user interface into SQL queries, simplifying the process for end-users. Importantly, Rakam does not transfer any data into your data warehouse; rather, it operates under the assumption that all necessary data is already stored within, allowing for analysis directly from the data warehouse, your definitive source of truth. For further insights on this subject, check out our blog post. Rakam also integrates with dbt core, serving as the data modeling layer but does not execute your dbt transformations. Instead, it connects to your GIT repository to automatically synchronize your dbt models. Additionally, Rakam can generate incremental dbt models, enhancing query performance and minimizing database costs. By defining aggregates in your dbt resource files, Rakam automatically creates roll-up models, simplifying the process for end-users while ensuring efficient data handling. This streamlined approach empowers teams to focus on insights rather than the technical intricacies of data analysis.

Releem is an AI-powered MySQL performance monitoring tool that delivers consistent performance through continuous database profiling, configuration tuning, and SQL query optimization. Releem automates analysis, performance issues detection, configuration tuning, query optimization and schema control to save you time and improve MySQL performance. Here’s what makes us different from other database performance monitoring and management solutions: 📊 Quick and simple to use with all the metrics displayed on one page 🚀 Adaptive configuration tuning 🎯 Automatic SQL query optimization 🤘 Rapid identification of slow queries 🛡️ All databases data is safe, Releem Agent doesn’t use data from your databases 🔀 Releem supported all versions of MySQL, MariaDB, and Percona, whether installed on-premise or on AWS RDS 👐 Open-source Releem Agent with the code available on GitHub How does it work? Releem operates as a monitoring system with an active agent installed on your database server, continuously analyzing and optimizing performance.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

Incerto serves as an AI-driven "Database Co-Pilot" that possesses a profound understanding of your database ecosystem, enabling it to proactively oversee operations, thereby minimizing manual tasks and removing production bottlenecks. It consistently tracks more than 100 established issues, including inefficient queries and cluster malfunctions, and autonomously activates verified solutions through its context-aware AI agents, all before any negative impact on users occurs. By identifying slow queries and refining them using a human-in-the-loop AI workflow designed for specific database management system architectures, it significantly boosts performance. Its intuitive "text-to-task" interface empowers users to articulate tasks in a conversational manner, such as migrating user data, investigating performance issues, or crafting queries, with the system adeptly interpreting and executing these tasks while remaining fully cognizant of the schema, workload, and infrastructure context. Furthermore, a sophisticated SQL editor provides AI support and facilitates a seamless transition from descriptive language to precise SQL commands, ensuring users can work more efficiently and effectively, regardless of their technical expertise. This comprehensive tool ultimately transforms database management into a more streamlined and user-friendly experience.

Prolog is a programming language based on logic that is closely linked to the fields of artificial intelligence and computational linguistics. Originating from first-order logic, which is a type of formal logic, Prolog distinguishes itself from many other programming languages by being primarily a declarative language, where logic is conveyed through relations that are defined by facts and rules. To begin a computation, one must execute a query against these established relations. As one of the pioneering logic programming languages, Prolog continues to enjoy widespread popularity today, supported by various free and commercial implementations. This versatile language has found applications in diverse areas such as theorem proving, expert systems, term rewriting, type systems, automated planning, and its foundational purpose of natural language processing. Additionally, contemporary Prolog environments offer capabilities for developing graphical user interfaces, alongside support for both administrative tasks and networked applications, further demonstrating its adaptability in modern programming contexts.

On June 23, 2025, Microsoft unveiled Mu, an innovative 330-million-parameter encoder–decoder language model specifically crafted to enhance the agent experience within Windows environments by effectively translating natural language inquiries into function calls for Settings, all processed on-device via NPUs at a remarkable speed of over 100 tokens per second while ensuring impressive accuracy. By leveraging Phi Silica optimizations, Mu’s encoder–decoder design employs a fixed-length latent representation that significantly reduces both computational demands and memory usage, achieving a 47 percent reduction in first-token latency and a decoding speed that is 4.7 times greater on Qualcomm Hexagon NPUs when compared to other decoder-only models. Additionally, the model benefits from hardware-aware tuning techniques, which include a thoughtful 2/3–1/3 split of encoder and decoder parameters, shared weights for input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, allowing for swift inference rates exceeding 200 tokens per second on devices such as the Surface Laptop 7, along with sub-500 ms response times for settings-related queries. This combination of features positions Mu as a groundbreaking advancement in on-device language processing capabilities.

Emma gives you the ability to select the most suitable cloud providers and environments, allowing for adaptation to evolving demands while maintaining simplicity and control. It streamlines cloud management by integrating services and automating essential tasks, thereby minimizing complexity. The platform also enhances cloud resource optimization automatically, guaranteeing full utilization and lowering overhead costs. By supporting open standards, it offers flexibility that liberates businesses from dependency on specific vendors. With real-time monitoring and optimization of data traffic, it effectively prevents unexpected cost spikes through efficient resource allocation. You can establish your cloud infrastructure across various providers and environments, whether on-premises, private, hybrid, or public. Management of your consolidated cloud environment is made easy through a single, user-friendly interface. Additionally, you can gain crucial visibility to enhance infrastructure performance and reduce expenditures. By reclaiming control over your entire cloud ecosystem, you can also ensure compliance with regulatory standards while fostering innovation and growth. This comprehensive approach empowers businesses to stay competitive in an ever-changing digital landscape.

Navigating the complexities of leveraging cloud services can often be challenging for businesses. To simplify this process, we created BidElastic, a resource provisioning tool comprising two key elements: BidElastic BidServer, which reduces computational expenses, and BidElastic Intelligent Auto Scaler (IAS), which enhances the management and oversight of your cloud service provider. The BidServer employs simulation techniques and sophisticated optimization processes to forecast market changes and develop a strong infrastructure tailored to the spot instances of cloud providers. Adapting to fluctuating workloads requires dynamically scaling your cloud infrastructure, a task that is often more complicated than it seems. For instance, during a sudden surge in traffic, it could take up to 10 minutes to bring new servers online, resulting in lost customers who may choose not to return. Effectively scaling your resources hinges on accurately predicting computational workloads, and that's precisely what CloudPredict accomplishes; it harnesses machine learning to forecast these computational demands, ensuring your infrastructure can respond swiftly and efficiently. This capability not only helps retain customers but also optimizes resource allocation in real-time.

CloudNuro.ai serves as a smart platform for managing both cloud and SaaS environments, providing organizations with enhanced visibility, governance, optimization, and automation capabilities throughout their digital ecosystems. With its unified interface, it effectively identifies all SaaS applications, including those that fall under Shadow IT, using various detection techniques such as DNS, SSO, browser agents, and APIs. The platform continuously catalogs applications in real time and highlights tools that are either unused, duplicated, or not authorized for use. It also provides valuable insights into expenditures, usage patterns, license entitlements, and application engagement metrics, empowering teams to manage costs efficiently and negotiate contract renewals based on solid data. Furthermore, automated workflows facilitate processes such as user onboarding and offboarding, approval workflows, compliance assessments, and policy enforcement, which not only lighten the IT department's burden but also enhance security measures. In addition, CloudNuro.ai boasts robust integrations with leading SaaS and cloud service providers, including M365, Salesforce, and various ITSM tools, which allows for seamless synchronization of catalog information, subscription management, and policy automation, ultimately streamlining operations across the organization. This comprehensive approach ensures that businesses can maintain control over their software assets while maximizing value and minimizing risks.

CloudScore is a comprehensive cloud cost and performance optimization platform that uses AI-driven automation to deliver visibility and control across all major cloud providers such as AWS, Azure, GCP, and Oracle. By breaking down silos, it provides a 360-degree view of cloud usage and spending, enabling organizations to optimize resources in real time. Its advanced analytics pinpoint customized savings opportunities and recommend adjustments to prevent wasteful spending while maintaining high performance levels. The platform supports scalable optimization, making it suitable for growing teams and complex cloud environments. CloudScore offers a read-only access model for security while delivering deep insights into reserved instance cost optimization and sustainability tracking. Users report up to 30% savings on cloud costs within weeks of deployment. Its intuitive interface and predictive analytics help cloud architects, FinOps teams, and DevOps professionals make smarter, data-driven decisions. CloudScore.ai is trusted by leading companies worldwide to improve cloud efficiency and business outcomes.

Fluxy AI is an innovative platform that empowers businesses to scale effortlessly through AI-powered agents that automate complex workflows and analyze data. These intelligent agents handle repetitive tasks, learn from your processes, and continuously improve, making your operations more efficient. Fluxy AI integrates seamlessly with your current tools and platforms, allowing for quick deployment and adoption. With features like lead capture, advanced analytics, and live agent escalation for complex queries, Fluxy AI helps businesses stay connected to customers and gain deeper insights into their needs and behaviors. This all-in-one solution provides the resources needed to drive growth and optimize strategies effectively.

Mitzu.io is a warehouse-native analytics platform tailored for SaaS and e-commerce teams, enabling actionable insights directly from data warehouses or lakes like Snowflake, BigQuery, and Redshift. It eliminates complex data modeling and duplication by working on raw datasets, ensuring streamlined workflows. Mitzu’s standout feature is self-service analytics, empowering non-technical users like marketers and product managers to explore data without SQL expertise. It auto-generates SQL queries based on user interactions for real-time insights into user behavior and engagement. Plus, seat-based pricing is a cost-effective alternative to traditional tools.

InitRepo transforms software development workflows by automatically generating detailed, AI-powered project documentation tailored for agile teams. From market research and competitive analysis to technical architecture and UX/UI design specifications, InitRepo provides end-to-end documentation that keeps developers aligned and projects on track. Each user story and epic comes with clear acceptance criteria and step-by-step tasks to ensure focused development and avoid scope creep. The platform supports exporting directly to GitHub Issues and will soon offer integrations with Notion and Jira for enhanced collaboration. InitRepo’s Model Context Protocol (MCP) tool helps keep documentation up to date as codebases evolve. By leveraging multiple AI engines for cross-verification, InitRepo guarantees precise and actionable documentation. Whether you’re a solo entrepreneur or part of an enterprise team, InitRepo accelerates your software delivery while maintaining clarity. Quick setup and intuitive interfaces allow teams to start generating documents in minutes without manual overhead.

Chat Genie represents a cutting-edge virtual assistant powered by artificial intelligence, revolutionizing both customer service and team efficiency. This innovative platform features a conversational AI agent that offers 24/7 support, swiftly responding to inquiries, assisting customers with various tasks, and delivering immediate feedback. By supporting multiple languages, Chat Genie not only cuts down on support expenses but also improves the overall user experience. As a crucial asset for optimizing workflows, it significantly boosts customer satisfaction and operational efficiency. Embracing this technology can lead to more effective communication and stronger customer relationships.

Utilizing vCloud Usage Meter's on-premises agent alongside vCloud Usage Insight's SaaS offerings allows for effective licensing usage metering and automated reporting. Begin by familiarizing yourself with both Usage Meter and Usage Insight, and then proceed to download the latest version to initiate the process. Engage with the Automatic Reporting Service, which is central to the Cloud Provider Metering Architecture, and acquire the most recent On-Premises agent for efficient license usage collection and reporting. This setup enables you to generate monthly reports effortlessly, streamlining the entire process from data collection to aggregation and reporting via the Commerce Portal. With the release of Usage Meter 4.3, there's enhanced capability to manage larger environments within a single deployment. Additionally, the introduction of in-place upgrades means that replacing the on-premises agent with each new version is no longer necessary. Usage Insight serves as a centralized hub for accessing and downloading Usage reports, while VMware takes responsibility for storing historical records, alleviating partners from needing to maintain older appliances. Overall, this comprehensive system significantly simplifies the metering and reporting tasks for users.

Consolidate your communications and contact center solutions into a streamlined, remote-friendly platform that enhances efficiency. Experience quick deployment with minimal onboarding requirements. Seamlessly connect with your current communication, productivity, and workflow tools. The low-code/no-code interface simplifies querying, exporting, and automating data processes. Ensure uniform measurement and recording of service interactions across all channels. Our platform is designed for tailored data reporting and analytics, enabling you to assess your ROI from the outset. Elevate customer experiences through AI-enhanced decision-making and automated processes. Encourage agent engagement and development with timely, data-driven self-coaching and integrated performance management tools. Utilize our modern interface to gain efficiencies and valuable insights throughout your organization. We adapt swiftly to accommodate fluctuations in demand, empowering your growth. Become part of our expert network that is reshaping the landscape of call center technology, and together we can drive innovation forward.

Finout streamlines the billing from Cloud Providers, Data Warehouses, and CDNs into a comprehensive single invoice, providing an exceptional overview of your cloud expenses without the need for extensive setup. You can easily track irregularities, access tailored suggestions, and anticipate costs as your business expands. Unlike AWS, which bills based on instances, Finout allows you to focus on the actual costs associated with your pods. By integrating seamlessly without agents, you can leverage your current Datadog or Prometheus setups to gain detailed insights into pod-level spending quickly. Move beyond simply understanding total cloud expenses; instead, focus on the costs tied to your actual usage rather than just payments made. For instance, instead of analyzing EC2 instances and DynamoDB indexes, you can directly observe Kubernetes pods. Moreover, Finout fosters a shared vocabulary across your organization, benefiting not just the DevOps team but the entire company as well. This unified approach enhances collaboration and understanding across departments, leading to more informed financial decisions.