Product Listings
Managing visibility across all your LLM requests can be challenging. How do you trace and measure cost, latency, and accuracy?
Portkey’s OpenTelemetry-compliant observability suite offers full control over your requests, while its analytics dashboards provide the insights needed to optimize performance.
Logs:Records all your multimodal requests and responses, making it easy to view, monitor, and debug interactions.
Tracing: Request tracing to help you monitor your applications throughout the lifecycle of a request.
Analytics: A comprehensive view of 21+ key metrics to analyze data, spot trends, and make informed decisions.
Filters: Streamline your data view with customizable filters.
Custom Metadata: Enrich your LLM APIs with custom metadata. Assign unique tags for swift grouping and troubleshooting.
Feedback: Add feedback values and weights to complete the loop.
Budget Limits: Budget limits for your provider API keys to control application costs.
Databricks Data Intelligence Platform is a software designed to unify data, analytics, and artificial intelligence workloads under a single platform. It enables organizations to store, manage, and analyze structured and unstructured data at scale while supporting collaborative data engineering, machine learning, and business intelligence projects. The software provides tools for data warehousing, data lakehouse integration, automated data workflows, and governance capabilities, facilitating secure sharing and discovery of data assets. By streamlining the creation of analytics solutions, Databricks Data Intelligence Platform aids businesses in deriving insights, building machine learning models, and operationalizing data science processes to address complex analytical tasks and inform decision-making.
TrueFoundry is a unified enterprise AI platform featuring a robust AI Gateway that brings together LLM, MCP, and Agent Gateway capabilities to securely manage, route, and govern AI workloads across providers. It also includes an advanced agentic deployment system that supports any AI workload - from GPU-based LLM deployments to agent and MCP deployments - using best practices for scalability and efficiency. TrueFoundry can run on-premise or within your VPC and complies fully with SOC 2, HIPAA, and ITAR standards.
Vespa is a software used for storing, searching, and processing data at scale, typically in applications that require fast retrieval and ranking of large volumes of structured and unstructured data. The software handles real-time data ingestion and indexing, full-text search, filtering, recommendation, and personalization. Vespa enables advanced ranking and relevance management using machine-learned models, making it suitable for scenarios involving search engines, recommendation systems, and large-scale data-driven applications. The software is designed to manage low-latency queries and support high throughput while supporting the deployment, scaling, and management of data stores and computation across clusters. Vespa addresses business needs around efficient information retrieval, personalization, and analytics for large datasets.
Elastic Search is a software that enables full-text search, structured search, and analytics across diverse data types. It is designed to index, search, and analyze large volumes of data quickly and in near real time. The software supports a distributed architecture for handling data across multiple servers and provides RESTful APIs for integration with other applications. Elastic Search addresses business needs such as log and event data analysis, enterprise search, and operational monitoring by supporting scalable queries, aggregation, filtering, and data visualization. Its schema-free design allows for flexible data ingestion from various sources, making it suitable for varied use cases including search engines, application performance monitoring, and security analytics.
Amazon Bedrock is a software that provides organizations with access to foundation models for building and scaling generative artificial intelligence applications through an API-based interface. The software enables users to experiment, customize, and deploy models in their workflows, facilitating integration with pre-built and custom large language models, image generators, and other generative AI capabilities. Amazon Bedrock addresses the business need for streamlining AI development, reducing infrastructure management tasks, and accelerating the deployment of machine learning solutions by supporting various model providers and offering workflow orchestration, monitoring, and security features without requiring extensive hardware setup or machine learning expertise.
SAS Viya is a software platform designed for data management, analytics, and artificial intelligence tasks. It supports a range of analytical methods including data preparation, statistical analysis, machine learning, and deep learning. The software enables users to integrate data from multiple sources, perform complex data transformations, and build analytical models. SAS Viya supports collaborative workflows, allowing different users to access and work on data projects using a common platform. It offers programming interfaces in languages such as Python and R and provides deployment options that accommodate on-premise, cloud, and hybrid environments. The software addresses the challenge of deriving insights from large and diverse datasets to enable data-driven decision making in organizations.
Microsoft Copilot Studio is a software platform designed to enable organizations to create, manage, and deploy AI-powered copilots and conversational applications. The software offers tools for building custom copilots that integrate with business data and workflows through natural language interfaces. Microsoft Copilot Studio supports customization of responses, connections to enterprise systems, and deployment across channels such as web, Microsoft Teams, and other messaging platforms. The software addresses the need for efficient automation of tasks and improved virtual agent experiences by allowing users to define conversation flows, integrate third-party APIs, and monitor performance metrics, ultimately supporting streamlined business operations and increased productivity.
NVIDIA DGX Cloud is a software platform designed to provide access to AI supercomputing resources in the cloud. It enables users to run advanced machine learning and deep learning workloads without managing infrastructure, offering features such as GPU-accelerated computing environments and scalable performance for training and inference tasks. The software addresses the challenge of deploying and managing high-performance computing resources required for complex data science and artificial intelligence projects, supporting development workflows with automation, collaboration tools, and integrated monitoring. DGX Cloud aims to streamline the process of building, testing, and scaling AI models by leveraging cloud-based GPU clusters configured for professional data and model handling.
DataRobot is agentic AI for the workforce. Our agentic platform enables frontline/business teams to develop, deliver, and govern AI agents and applications that work intelligently and securely with core business processes, infrastructure, and systems — maximizing impact and minimizing risk for organizations across industries.
IBM watsonx is a software platform designed to facilitate the development, training, and deployment of artificial intelligence models and applications. The software provides tools for foundation model management, generative AI workflows, and data governance, allowing organizations to build custom AI solutions tailored to specific business needs. It supports data preparation, model lifecycle management, and observability, aiming to address challenges related to scalable AI implementation and compliance. By integrating capabilities for accessing structured and unstructured data, IBM watsonx seeks to streamline workflows in environments that require automation, decision support, and advanced analytics, assisting organizations in managing the complexities associated with operationalizing artificial intelligence.
Microsoft Foundry is a software designed to assist organizations in building, deploying, and managing artificial intelligence solutions at scale. This software supports the creation of custom AI models and integrates with existing data sources and business processes. It offers tools for rapid experimentation, model training, and operationalization, enabling organizations to streamline the development of AI-based applications. Microsoft Foundry addresses challenges such as data integration, model governance, and collaboration among development teams, helping businesses accelerate AI adoption while maintaining control and compliance. The software is designed to be used by data scientists, machine learning engineers, and business analysts working on enterprise-level machine learning projects.
Weave is the LLMOps solution from Weights & Biases that helps developers deliver AI with confidence by evaluating, monitoring, and iterating on their AI applications. Keep an eye on your AI to improve quality, cost, latency, and safety. AI developers can get started with W&B Weave with just one line of code, and use Weave with any LLM or framework. Use Weave Evaluations to measure and iterate LLM inputs and outputs, with visual comparisons, automatic versioning, and leaderboards that can be shared across your organization. Automatically log everything for production monitoring and debugging with trace trees. Use Weave's out-of-the-box scorers, or bring your own. Collect user and expert feedback for real-life testing and evaluation.
Arize is a software designed to monitor and evaluate machine learning model performance across training and production environments. The software provides features for tracking metrics, identifying data and model drift, diagnosing model errors, and troubleshooting discrepancies. It supports integrations with multiple machine learning frameworks and allows users to visualize model predictions, performance over time, and anomalies in model outputs. The software addresses the business problem of ensuring models function as intended after deployment and helps organizations maintain reliable and consistent AI solutions as data changes.
C3 AI Platform is a software designed to support the development, deployment, and operation of artificial intelligence applications at enterprise scale. The software provides a suite of data integration, model management, and machine learning capabilities enabling organizations to aggregate large volumes of structured and unstructured data from multiple sources. It offers tools for building analytical models, managing workflows, and utilizing real-time and batch data processing. The software aims to solve business challenges related to asset optimization, predictive analytics, and process automation by facilitating the creation and management of AI-based solutions. Users are able to leverage the platform to monitor performance, optimize systems, and support decision-making through integrated AI-driven insights.
Domino Enterprise AI Platform is a software designed to enable data science, IT, and AI/ML teams to develop, deploy, and manage models within enterprise environments. The software provides a centralized platform for collaboration, reproducibility, and governance of data workflows, supporting various programming languages and tools. It integrates with existing infrastructure, facilitating access to scalable computing resources and version control for experiments. By streamlining model lifecycle management, the software addresses business challenges related to operationalizing artificial intelligence initiatives, ensuring compliance, and improving productivity across analytics-driven projects. Domino is the open platform to industrialize all AI and drive real outcomes — applications, models, and agents — by connecting your existing infrastructure to deliver value on a secure, scalable platform with built-in cost optimization and governance.
Kore.ai Experience Optimization Platform is a software designed to automate and manage conversational interactions across various channels within enterprises. It provides tools for building, deploying, and scaling virtual assistants and chatbots that facilitate customer and employee engagement. The platform offers features for natural language processing, dialog management, integration capabilities with enterprise systems, analytics, and workflow automation. It enables organizations to streamline processes, enhance communication, and improve operational efficiency by reducing manual intervention and supporting self-service tasks. The software addresses business challenges related to handling high volumes of inquiries, supporting multiple interaction channels, and optimizing user experiences through contextual and intelligent automation.
Kosmoy is a software designed to centralize data collection, aggregation, and analysis for businesses seeking to streamline workflow and operational efficiency. The software offers features such as real-time dashboard reporting, customizable data forms, and integration with external systems, enabling users to manage and access company-wide information in a single platform. Kosmoy aims to address business challenges related to data fragmentation and manual process bottlenecks, improving data visibility and supporting informed decision-making. The software is suitable for various industries and offers audit trails, user management capabilities, and scalable deployment options to support organizational requirements.
Vertex AI is a software developed by Google that facilitates the building, deployment, and management of machine learning models in cloud environments. The software integrates tools for data labeling, model training, hyperparameter tuning, and model evaluation, supporting both custom and pre-trained models. It allows users to operationalize models with monitoring and automated deployment features, while providing scalability across various data types and use cases. Vertex AI addresses business challenges related to implementing machine learning solutions by offering a unified platform to streamline workflows, reduce maintenance complexities, and enable version control and collaboration among teams.