Alternatives to Zuro

DataSet retains live, searchable real-time insights. DataSet can host or manage low-cost, S3 storage for customers. Incorporate structured, semistructured, and nonstructured data faster than before. No data schema is required to create a limitless enterprise infrastructure that can be used for live data queries, insights, analytics, and retention. The technology of choice among engineering, DevOps and IT teams to unlock data's power. A patented parallel processing technology delivers sub-second query response times. Make better business decisions by working faster and smarter. Ingest hundreds terabytes of data with ease. No need to rebalance nodes, manage storage, or reallocate resources. Scale in an infinitely flexible platform. A cloud-native architecture that is efficient minimizes costs and maximizes output. Profit from a cost-model that is predictable and delivers unmatched performance.

All the Azure migration tools and guidance that you need to plan, implement and monitor your move to cloud computing. A central dashboard provides intelligent insights and allows you to track your progress. Support for key migration scenarios across servers and data, web apps, databases, web applications, virtual desktops, and servers. Azure and its partner tools enable comprehensive discovery, assessment, as well as migration capabilities. A centralized migration repository that provides end-to-end tracking, insights, and insight. Cost-effective migration with Azure cost optimization tools and features. The progress dashboard and guided experience guide you through the discovery, assessment, as well as migration phases for different business areas. With built-in insights, recommendations and recommendations, you can make the best migration decisions. Migration tools that allow you to move quickly and easily are included in your Azure subscription.

You can make critical operational decisions in real time while minimizing the impact on the community and the planet. We collect sensing data from either your monitoring hardware or ours and convert it into intuitive software interfaces that support business decision making. Our customers in the aviation, waste, wastewater and water treatment industries rely on real-time information to run their operations. Optimize operational outcomes, increase productivity, make tangible cost savings, and share your social license with the surrounding communities. Easy-to-use software provides practical information that allows you to interpret complex environmental data from industrial operations. Digital twin technology for water treatment based on machine learning and deterministic modeling. Over 150 major airports around the world use this technology to prove compliance with stakeholders and increase efficiency.

GenAI's full-stack platform can accelerate digital transformation and unlock lasting value for your business by transforming proprietary data quickly into actionable insights. Articul8 GenAI engine allows you to quickly develop and deploy enterprise GenAI apps via elegant APIs. This allows for seamless integration across development workflows. Articul8's proprietary ModelMesh™, FlexLLM™ and LLM IQ™, technologies select and orchestrate an optimized collection of state-of the-art LLMs, probabilistic models and LLMs that are optimized for functionality. This results in tangible business outcomes as well as best-in class price performance. All data store connectors needed for our GenAI engines are pre-packaged, and fully supported. Scale data pre-processing, ingestion and output dynamically to accelerate GenAI deployments.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Amazon Titan models are exclusive to Amazon Bedrock. They incorporate Amazon's 25-year experience in AI and machine learning innovation across its business. Amazon Titan foundation models (FMs), via a fully-managed API, provide customers with an array of high-performing text, image, and multimodal models. Amazon Titan models were created by AWS, and pre-trained on large datasets. They are powerful, general purpose models that support a wide range of use cases while also supporting responsible AI. You can use them as-is or customize them privately with your own data. Amazon Titan Text Premier is an advanced model in the Amazon Titan Text family that delivers superior performance for a variety of enterprise applications. This model is optimized to integrate with Agents and knowledge bases for Amazon Bedrock. It's an ideal option for creating interactive generative AI apps.

AI teams are faced with challenges that require new technologies. These technologies are built by us. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. AI and software development go hand in hand. Built with data scientists, ML experts, and data engineers at heart. Don't reinvent your wheel! Production is fast and cost-effective. All your data is stored by you. Your machines are used to train your models. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. New technologies are required for AI teams. These technologies are built by us. Studio is an extension to BitBucket, GitLab, and GitHub. Register for the online SaaS version, or contact us to start an on-premise installation

StarWind VTL allows businesses to move beyond costly physical tape backups without compromising regulatory data archiving and retention requirements. StarWind VTL uses on-premises Virtual Tape Libraries that offer cloud and object storage tiering. Keep your backups "air-gapped", which is a virtual tape that stores them, to protect them from ransomware. For maximum security and cost-efficiency, you can duplicate and tier backups to any public cloud. You can also store any industry-standard object storage.

Launch GPU-accelerated instances that are highly configurable for your AI workload and budget. Reserve thousands of GPUs for training and inference in a next generation AI data center. The AI world is moving to GPU clouds in order to build and launch groundbreaking models without having the hassle of managing infrastructure or scarcity of resources. AI-centric cloud providers are outperforming traditional hyperscalers in terms of availability, compute costs, and scaling GPU utilization for complex AI workloads. Ori has a large pool with different GPU types that are tailored to meet different processing needs. This ensures that a greater concentration of powerful GPUs are readily available to be allocated compared to general purpose clouds. Ori offers more competitive pricing, whether it's for dedicated servers or on-demand instances. Our GPU compute costs are significantly lower than the per-hour and per-use pricing of legacy cloud services.

Phi-2 is a 2.7-billion-parameter language-model that shows outstanding reasoning and language-understanding capabilities. It represents the state-of-the art performance among language-base models with less than thirteen billion parameters. Phi-2 can match or even outperform models 25x larger on complex benchmarks, thanks to innovations in model scaling. Phi-2's compact size makes it an ideal playground for researchers. It can be used for exploring mechanistic interpretationability, safety improvements or fine-tuning experiments on a variety tasks. We have included Phi-2 in the Azure AI Studio catalog to encourage research and development of language models.

Hydrolix is a streaming lake of data that combines decoupled archiving, indexed searching, and stream processing for real-time query performance on terabyte scale at a dramatically lower cost. CFOs love that data retention costs are 4x lower. Product teams appreciate having 4x more data at their disposal. Scale up resources when needed and down when not. Control costs by fine-tuning resource consumption and performance based on workload. Imagine what you could build if you didn't have budget constraints. Log data from Kafka, Kinesis and HTTP can be ingested, enhanced and transformed. No matter how large your data, you will only get the data that you need. Reduce latency, costs, and eliminate timeouts and brute-force queries. Storage is decoupled with ingest and queries, allowing them to scale independently to meet performance and cost targets. Hydrolix's HDX (high-density compress) reduces 1TB to 55GB.

IntelliFlash systems by Tintri and DDN combine performance and economics to provide full-service intelligent storage infrastructure. It optimizes SSD-to HDD ratios autonomously and delivers scalable performance. Enterprise applications are supported by a variety of time-saving management options. Consolidate multiple workloads using concurrent multiprotocol support block, file, object storage and VMs on one system. These systems can also improve cost efficiency by combining data reduction technologies, near instant backups, robust disaster protection, and powerful analytical software for faster data insight. DDN A3I addresses the unstructured nature of these applications and their data-intensive nature. High performance and scalable architectures are also beneficial for call and transaction records, consumer behaviour, and other structured data types.

Aware transforms digital conversations from Slack and Teams, Zoom into real-time insights. These insights uncover risk and provide organizational intelligence at scale. Digital conversations are everywhere in your organization. The new workflow and social connections for your employees and the fastest-growing dataset within your business is real-time collaboration. This unstructured data set has its own language, emotions, and structure. Authentic, impulsive and consumer-like messages can be composed, edited, then delivered in five words or less. Filled with emojis and abbreviations and multimedia messages in private, public, and direct channels across many collaboration platforms. Traditional technology can't comprehend the context of the complex dataset and unique behavior. Aware uses this data to make sense of it, uncovering costly, unanticipated risks and providing insights that enable innovation and business value. Aware provides contextualized intelligence for your business at scale.

Many customers of Amazon Web Services (AWS), require data storage and analytics solutions that are more flexible and agile than traditional data management systems. Data lakes are a popular way to store and analyze data. They allow companies to manage multiple data types, from many sources, and store these data in a central repository. AWS Cloud offers many building blocks to enable customers to create a secure, flexible, cost-effective data lake. These services include AWS managed services that allow you to ingest, store and find structured and unstructured data. AWS offers the data solution to support customers in building data lakes. This is an automated reference implementation that deploys an efficient, cost-effective, high-availability data lake architecture on AWS Cloud. It also includes a user-friendly console for searching for and requesting data.

To detect and respond to data drift, track model performance for better business outcomes. Arthur's transparency and explainability APIs help to build trust and ensure compliance. Monitor for bias and track model outcomes against custom bias metrics to improve the fairness of your models. {See how each model treats different population groups, proactively identify bias, and use Arthur's proprietary bias mitigation techniques.|Arthur's proprietary techniques for reducing bias can be used to identify bias in models and help you to see how they treat different populations.} {Arthur scales up and down to ingest up to 1MM transactions per second and deliver insights quickly.|Arthur can scale up and down to ingest as many transactions per second as possible and delivers insights quickly.} Only authorized users can perform actions. Each team/department can have their own environments with different access controls. Once data is ingested, it cannot be modified. This prevents manipulation of metrics/insights.

dRPC, or decentralized RPC, is a network that improves security, reliability and cost-efficiency of Web3 companies. We are building a reliable and cost-efficient Data Providing solution via a platform decentralized. Data verification, automatic intelligent node balancing, and stablecoin payments. The economy that works from day one for all network participants via connection and usage of existing nodes, with a transparent model on the requests routing.

Qlik Data Integration platform automates the process for providing reliable, accurate and trusted data sets for business analysis. Data engineers are able to quickly add new sources to ensure success at all stages of the data lake pipeline, from real-time data intake, refinement, provisioning and governance. This is a simple and universal solution to continuously ingest enterprise data into popular data lake in real-time. This model-driven approach allows you to quickly design, build, and manage data lakes in the cloud or on-premises. To securely share all your derived data sets, create a smart enterprise-scale database catalog.

We've already done the hard work of bundling, pre-configuring and integrating all the components that you need to build solutions and integrate LLMs into your business processes. ConfidentialMind allows you to jump into action. Deploy an endpoint for powerful open-source LLMs such as Llama-2 and turn it into an LLM API. Imagine ChatGPT on your own cloud. This is the most secure option available. Connects the rest with the APIs from the largest hosted LLM provider like Azure OpenAI or AWS Bedrock. ConfidentialMind deploys a Streamlit-based playground UI with a selection LLM-powered productivity tool for your company, such as writing assistants or document analysts. Includes a vector data base, which is critical for most LLM applications to efficiently navigate through large knowledge bases with thousands documents. You can control who has access to your team's solutions and what data they have.

EDIConnect is a complete solution that allows bi-directional electronic data interchange. Developed by Astera EDIConnect allows businesses exchange invoices and purchase orders, advance shipping notices, and other documents directly from one system. EDIConnect provides the flexibility and capability to meet ever-changing EDI requirements of businesses through its powerful visual tools, built-in transaction sets, and built-in data mapping, incoming file translator and ingestion. Using EDIConnect, users are able to manage data ingestion, as well as generate fast and efficient acknowledgments, outgoing transaction construction, process orchestration and scheduling.

DNIF offers a high-value solution by combining technologies like SIEM, UEBA, and SOAR in one product with an extremely low total cost ownership. DNIF's hyper-scalable data lake is ideal for ingesting and storing terabytes. Statistics can be used to detect suspicious activity and take action prior to any damage occurring. From a single dashboard, you can orchestrate people, processes and technology initiatives. Your SIEM comes with dashboards, reports, and workflows for response. Coverage for threat hunting and compliance, user behavior monitoring, network traffic anomaly, and network traffic anomaly. Coverage map using MITRE ATT&CK framework and CAPEC. Double, triple or even quadruple your logging capability with your current budget. With HYPERCLOUD you can forget about worrying about missing important information. Log everything and leave nothing behind.

Cube Dev is a company that provides developers with an analytical data access layer to help them build modern applications. Cube is used worldwide by thousands of companies to power customer-facing analytics as well as internal business intelligence tools. Cube is a complete set for building big data apps. Automated SQL generation, query acceleration and security and access control make it easier to build data apps with big data. Data modeling capabilities are available for everything, from simple counts to cohort retention or funnel analysis. Excellent performance with query orchestration, multi-level caching, and query orchestration. Support for row-level security and multitenancy built-in

Nebula enables you to scale and deploy your AI projects quickly and easily2 on a highly robust GPU infrastructure. Nebula Cloud powered by Nvidia GPUs on demand allows you to train and infer models easily and securely. You can also create and manage containerized workloads using Nebula's easy-to-use orchestration layer. Access Nebula’s MLOps, low-code/no code engines and AI-powered applications to quickly and seamlessly deploy AI-powered apps for business teams. Choose from the Nebula containerized AI Cloud, your on-prem or any cloud. The Nebula Unify platform allows you to build and scale AI-enabled use cases for business in a matter weeks, not months.

You can easily build, deploy, manage, and monitor computer vision applications using a fully managed, end to end application development environment. This reduces the time it takes to build computer vision apps from days to minutes, at a fraction of the cost of current offerings. You can quickly and easily ingest real-time video streams and images on a global scale. Drag-and-drop interface makes it easy to create computer vision applications. With built-in AI capabilities, you can store and search petabytes worth of data. Vertex AI Vision provides all the tools necessary to manage the lifecycle of computer vision applications. This includes ingestion, analysis and storage, as well as deployment. Connect application output to a data destination such as BigQuery for analytics or live streaming to drive business actions. You can import thousands of video streams from all over the world. Enjoy a monthly pricing structure that allows you to enjoy up-to one-tenth less than the previous offerings.

Use tools to bring LLM-powered features into production, including tools for rapid engineering, semantic searching, version control, quantitative testing, and performance monitoring. Compatible with all major LLM providers. Develop an MVP quickly by experimenting with various prompts, parameters and even LLM providers. Vellum is a low-latency and highly reliable proxy for LLM providers. This allows you to make version controlled changes to your prompts without needing to change any code. Vellum collects inputs, outputs and user feedback. These data are used to build valuable testing datasets which can be used to verify future changes before going live. Include dynamically company-specific context to your prompts, without managing your own semantic searching infrastructure.

Gemini models are a family of light-open, state-of-the art models that was created using the same research and technology as Gemini models. These models include comprehensive security measures, and help to ensure responsible and reliable AI through selected data sets. Gemma models have exceptional comparative results, even surpassing some larger open models, in their 2B and 7B sizes. Keras 3.0 offers seamless compatibility with JAX TensorFlow PyTorch and JAX. Gemma 2 has been redesigned to deliver unmatched performance and efficiency. It is optimized for inference on a variety of hardware. The Gemma models are available in a variety of models that can be customized to meet your specific needs. The Gemma models consist of large text-to text lightweight language models that have a decoder and are trained on a large set of text, code, or mathematical content.

Technology is evolving faster than ever but business processes aren't always up to the task. Companies that can't adapt to disruptive innovation and keep pace with changing technology often find themselves in trouble. Businesses are increasingly turning to digital transformation to remain competitive on the market. They are shifting their focus towards an intelligent enterprise model and shifting their focus toward digital transformation. The concept of intelligent enterprise is the use of the latest technologies and new service paradigms in order to improve business performance in real-time. It creates new business models and accelerates innovation. Phitomas' goal to build an intelligent enterprise for its customers is to help them grow in this rapidly changing economy. We help you create more connected operations, increase operational efficiency, and reduce costs at Phitomas.

A simple-to-use interactive tool that allows data exploration, analysis, visualization and machine learning. Cloud Datalab is an interactive tool that allows you to analyze, transform, visualize, and create machine learning models on Google Cloud Platform. It runs on Compute Engine. It connects to multiple cloud services quickly so you can concentrate on data science tasks. Cloud Datalab is built using Jupyter (formerly IPython), a platform that boasts a rich ecosystem of modules and a solid knowledge base. Cloud Datalab allows you to analyze your data on BigQuery and AI Platform, Compute Engine and Cloud Storage using Python and SQL. JavaScript is also available (for BigQuery user defined functions). Cloud Datalab can handle megabytes and terabytes of data. Cloud Datalab allows you to query terabytes and run local analysis on samples of data, as well as run training jobs on terabytes in AI Platform.

Azure AI Content Understanding transforms unstructured, multimodal data into valuable insights. From text, audio, video, and images, you can derive meaningful insights. AI-based methods, such as scheme extraction or grounding, can be used to produce high-quality and precise data for downstream applications. Streamline and unify data pipelines from different data types to create a single workflow, reducing costs and speeding up time to value. Learn how businesses and call centers can use call recordings to generate valuable insights to track KPIs and enhance product experiences and respond to customer queries more quickly and accurately. Azure AI offers a variety of AI models that can transform data from a variety of input modalities such as images, audio or video into a structured output which can be processed and analyzed easily by downstream applications.

We create data products that enhance people's decision-making abilities. It's all about understanding how people think, learn and act. We design self-learning-self-service intelligent systems. Decision Intelligence is an inter-disciplinary approach that combines data, technology, business and behavior to enable judgments that lead to practical solutions to real-world problems. We are here to solve hard problems. We see technology as a weapon and data as an oracle. Through data & technology, we deliver wisdom to the world. Data science is the study and analysis of information to determine where it comes from, what it represents, and how it can become a valuable resource for the development of business and IT strategies. An organization can use large amounts of unstructured and structured data to identify patterns and reduce costs. This can help them recognize new market opportunities, improve their competitive edge, and increase their efficiency.

Personified is an LLM-powered chatbot-as-a-service. The chatbot extracts data and files to provide accurate and reliable answers when asked. We do not use your knowledge to train our models or access it unless we are explicitly asked for support. We consider security and privacy to be a responsibility we have towards our customers and we ensure that the right policies are in place to prevent data mismanagement.

Romulus' cutting-edge technology allows it to digest unstructured documents and provide actionable insights. You can process real-world documents to get the best data extraction. Scale critical processes to increase efficiency in the back-office without increasing costs. Automate to eliminate human error & achieve near perfect compliance without rework. We combine best-in class technology with a deep knowledge of Financial Services contexts in order to deliver enterprise-grade, secure solutions that meet your business's needs. Romulus was built with the decades of experience of our founding team to support a variety of use cases in middle office operations, entity management and compliance, credit, and more.

Data characteristics such as meaning, usage, lineage and alignment to business outcomes, ownership, that have been lost repeatedly after each project, can now be captured and retained for the first time. These essential characteristics can now be reused downstream in order to advance strategic business initiatives that depend on trusted data. Reuse data to deliver your outcomes faster. Capture and unleash the potential of your data. Unlock the potential in your data within the context of your business. Many of your projects require the same understanding and insights into your data. It's likely that you are constantly reinventing this information. Syniti can provide this knowledge at a fraction the cost and with greater accuracy. Don't lose your knowledge. Reuse the knowledge and insights that are hidden in your data. Keep your knowledge safe for future reference.

Distributors who are the best of breed continue to use technology to improve their businesses. They are always looking for new solutions that provide flexibility, responsiveness, efficiency, and efficiency. DemandBridge has over 40 years of experience in software development, with a quarter century focus on brand management and print. DemandBridge offers integrated solutions that will help you succeed. A well-designed logistical operation is the key to any successful distribution business. It sets it apart from direct manufacturers and competitors. DB Distributor allows you to manage every step of the fulfillment process. This results in tangible benefits such as fewer duplicate data entries, a more efficient workflow, and lower costs. Our integrated approach allows for one order for inventory or customized items. This can be done manually or via your integrated customer portals.

Cross-Mobility Platform (XMP), a SaaS from Net4things that uses geolocation data, is a SaaS that allows you, regardless of your industry, to launch, scale and launch a wide variety of use cases that will benefit you and your customers. This will enable you to unlock the potential of mobility data, open up new business opportunities, and contribute to sustainable mobility. The Net4things' XMP is the ideal choice for collecting massive amounts of information from mobility assets. It combines outstanding data ingestion capabilities that maximize throughput and minimize latency with an adaptive model. These assets can either be pre-connected from the factory, such as new cars, trucks, or motorbikes, or they need to be connected via any telematic device on the market, such as OBD/OBU dongles or trackers for bikes, scooters, people, and pets.

We are on a mission transform the way shippers, logistic service providers, and carriers manage global operational problems and multi-enterprise information. Slync.io is an API-first platform that connects disparate systems and ingests structured as well as unstructured data. It orchestrates teams and automates processes seamlessly to allow multi-enterprise transparency. This will ensure frictionless collaboration and transparency for your end-to–end logistics network. Slync's flexible, metadata-driven architecture makes it easy to configure and deploy even complex supply chains. You can empower your internal teams and external partners by providing a customized interface that fits their roles in your supply chain. Slync.io synchronizes data from all your systems (ERP CRM, TMS, TMS, and visibility service providers) as well as emails, PDFs, and spreadsheets. You can create configurable data pipelines and workflows to bring together critical information in a single source of truth that is near-real-time.

Jurassic-2 is the latest generation AI21 Studio foundation models. It's a game changer in the field AI, with new capabilities and top-tier quality. We're also releasing task-specific APIs with superior reading and writing capabilities. AI21 Studio's focus is to help businesses and developers leverage reading and writing AI in order to build real-world, tangible products. The release of Task-Specific and Jurassic-2 APIs marks two significant milestones. They will enable you to bring generative AI into production. Jurassic-2 (or J2, as we like to call it) is the next generation of our foundation models with significant improvements in quality and new capabilities including zero-shot instruction-following, reduced latency, and multi-language support. Task-specific APIs offer developers industry-leading APIs for performing specialized reading and/or writing tasks.

Palamardocs, an Intelligent OCR, is a magic tool that extracts structured information in milliseconds from any document. Palamardocs automates the extraction of business information in paper documents and unstructured electronic files. This allows businesses to reduce costs associated with data entry, processing, and extraction. Transform enterprise-wide processes to save time and money. This tool allows you to retrieve and validate text, figures, form fields and tables. It also lets you set simple rules and create AI models. Each day, human in-the loop verification inspects, validates and makes adjustments to models to improve their outcomes. Our API connectors make it easy to create integrations and connect any database or corporate system with clicks-or code. Documents can be received via email or API interface and then classified for extraction.

Get a complete picture of the performance of your model. Log inputs and out-puts, and enrich them with metadata. Find out what your model is doing and where it can be improved. Monitor for errors, and identify underperforming cohorts or use cases. The best models are based on user data. To retrain your model, you can programmatically gather examples that are unusual or underperforming. When changing your model or prompt, stop manually reviewing thousands outputs. Apps powered by LLM can be evaluated programmatically. Detect and fix degradations fast. Monitor new deployments and edit your app in real-time. Connect your data sources to your self-hosted model or third-party model. Our serverless streaming dataflow engines can handle large amounts of data. Gantry is SOC-2-compliant and built using enterprise-grade authentication.

80% of enterprise information is in formats that are difficult to use, such as HTML, PDFs, CSVs, PNGs, PPTXs, and others. Unstructured extracts and transforms data in a way that is compatible with all major vector databases and LLM frameworks. Unstructured allows data analysts to pre-process large amounts of data, so they can spend less time cleaning and collecting data and more time modeling. Our enterprise-grade connectors can capture data from anywhere, and then transform it into AI friendly JSON files. This is perfect for companies that are looking to integrate AI into their business. Unstructured delivers data that is curated, free of artifacts and, most importantly, LLM ready.

Instill Core is a powerful AI infrastructure tool that orchestrates data, models, and pipelines, allowing for the rapid creation of AI-first apps. Instill Cloud is available or you can self-host from the instill core GitHub repository. Instill Core includes Instill VDP: Versatile Data Pipeline, designed to address unstructured data ETL problems and provide robust pipeline orchestration. Instill Model: A MLOps/LLMOps Platform that provides seamless model serving, fine tuning, and monitoring to ensure optimal performance with unstructured ETL. Instill Artifact: Facilitates orchestration of data for unified unstructured representation. Instill Core simplifies AI workflows and makes them easier to manage. It is a must-have for data scientists and developers who use AI technologies.

Drive Software Solutions develops and delivers software to enable a new age in carbon neutral automotive mobility. Our customers can address their fleet management needs, transition to electric vehicles, and position themselves for fundamental changes in vehicle ownership and operations. DRIVE allows fleet operators to make a faster transition to electric vehicles by providing visibility, insight, and a platform that will help them better manage this transition. Markets are increasingly shifting to shared ownership, ride-hailing and other Mobility as a Service models (MaaS). DRIVE is at the forefront of this change, developing technologies that enable the industry to innovate, adapt, and prosper. We help you make the transition to electric vehicles at the right time, with the right models, by providing real-time fleet data analysis and a comparison of total cost of ownership.

Drive Software Solutions develops and delivers software to enable a new age in carbon neutral automotive mobility. Our customers can address their fleet management needs, transition to electric vehicles, and position themselves for fundamental changes in vehicle ownership and operations. DRIVE allows fleet operators to make a faster transition to greener Electric Vehicles by providing visibility, insight, and a platform that will help them better manage this transition. The market is increasingly shifting to shared ownership, ride hailing, and other Mobility as a Service models (MaaS). DRIVE is at the forefront of this change, developing technologies that enable the industry to innovate, adapt, and prosper. We help you make the transition to electric vehicles at the right time, with the right models, by providing real-time fleet data analysis and a comparison of total cost of ownership.

Trustwise is an API that unlocks the power and potential of generative AI. Modern AI systems are powerful, but they often struggle with issues such as compliance, bias, breaches of data, and cost management. Trustwise is an industry-optimized, seamless API for AI trust. It ensures business alignment, cost efficiency, and ethical integrity in all AI models and tools. Trustwise enables you to innovate with AI in a confident manner. Our software, which has been perfected in partnership with industry leaders over the past two years, guarantees the safety, alignment and cost optimization of AI initiatives. Actively mitigates harmful illusions and prevents the leakage of sensitive data. Audit records to improve learning and ensure accountability. Human oversight of AI decisions is ensured, and the system is continuously adapted to learning. Built-in benchmarking, certification, NIST AI Research and Management Framework, ISO 42001 aligned.

Inkling transforms that information into engaging digital learning that helps your people do their best work while on the job. Leading brands with large, distributed workforces trust Inkling to create, distribute, and measure learning effectiveness, which gives them time to focus on operational excellence, building high-performance organizations, and delivering business results.

kdb Insights, a cloud native, high-performance analytics solution designed for real-time data analysis of streaming and historical data, is a platform that can be used to analyze both streams and historical information. It allows for intelligent decision making regardless of data volume and velocity. It offers unmatched performance and price, and delivers analytics up to 100-fold faster than other solutions. The platform allows interactive data visualization via real-time dashboards to facilitate instantaneous insight and decision-making. It also integrates machine-learning models to predict and cluster structured data, detect patterns, score it, and enhance AI capabilities for time-series datasets. kdb Insights is scalable enough to handle large volumes of real-time data and historical data. This has been proven with volumes up to 110 Terabytes per Day. Its simple data intake and quick setup accelerate time-to value. Native support for q SQL and Python is also available, as well as compatibility with other programming languages via RESTful interfaces.

AI/ML API is a game-changing platform for developers and SaaS entrepreneurs looking to integrate cutting-edge AI capabilities into their products. It offers a single point of access to over 200 state-of-the-art AI models, covering everything from NLP to computer vision. Key Features for Developers: Extensive Model Library: 200+ pre-trained models for rapid prototyping and deployment Developer-Friendly Integration: RESTful APIs and SDKs for seamless incorporation into your stack Serverless Architecture: Focus on coding, not infrastructure management Advantages for SaaS Entrepreneurs: Rapid Time-to-Market: Leverage advanced AI without building from scratch Scalability: From MVP to enterprise-grade solutions, AI/ML API grows with your business Cost-Efficiency: Pay-as-you-go pricing model reduces upfront investment Competitive Edge: Stay ahead with continuously updated AI models Technical Highlights: Performance: Low-latency responses for real-time applications Cross-Platform Compatibility: Integrate with any tech stack Robust Documentation: Comprehensive guides and API references Active Developer Community: Access support and share insights

Cloud cost management software to optimize AWS cloud spending. Cloud cost management software allows businesses to plan and understand the costs and requirements associated with cloud technology. Site24x7 CloudSpend assists you in managing AWS costs for your entire company, so you get the best value from every dollar you spend. Our parser is a handcrafted tool that automatically ingests and processes AWS cloud Cost and Usage reports data files and extracts all relevant data fields. This unique combination of service, usage type and pricing unit gives you an up-to date view of your AWS Cloud costs down to the last penny. Before optimizing, it is important to understand where and when you are accruing costs. Identify the top three cost-accruing services. See running costs for the past six month and monthly costs. View the distribution of costs by region and instance-type.

For AI and cloud analytics, you can ingest, prepare, or process data pipelines at large scale. Informatica's extensive data engineering portfolio includes everything you need to process big data engineering workloads for AI and analytics. This includes robust data integration, streamlining, masking, data preparation, and data quality.

Maptek DomainMCF uses machine-learning to create domain boundaries directly from sample information for rapid creation of resource model. Geologists can quickly and easily create domain or grade models by feeding in data from drilling or other sampling methods. Maptek DomainMCF replaces complex desktop software and shifts the costs from capital budgets to operating budgets. Flexible licensing supports faster, secure cloud processing. Resource models can be generated in minutes or even hours depending on the size of the deposit, the data density and the complexity. Many operations are only able to update their resource model once or twice per year. DomainMCF allows you to model your project in minutes, with results that are comparable to those of traditional techniques. You can still control the process, without having to do the tedious preparation work. Models can be updated quickly to reflect current data and new data.

The fastest way to relevant search and recommendations. Increase engagement, conversion and revenue using a configurable, real-time system. We help your users find the content or products that are most relevant for them by surfacing those products. We do this while taking into consideration your business objectives in order to ensure that all sides of your marketplace or platform are being optimized fairly. Shaped is an automated, real-time recommendation system that consists of four stages. It contains all the data, machine-learning, and infrastructure required to understand and serve your discovery needs at scale. Connect and deploy quickly with direct integration into your existing data sources. Ingest and rerank in real-time based on behavioral signals. Optimize LLMs and neural rankings models to achieve the best performance. Build and experiment with retrieval and ranking components for any use cases.