AI Observability 13

Build AI Agents with confidence: Platform for building, deploying, and managing AI agents. Vivgrid is an AI agent infrastructure platform that helps developers and startups build, deploy, and manage AI agents with observability, evaluation, and safety guardrails. It provides a confident path from prototype to production for AI agents by offering tools for AI observability, debugging, evaluation, testing, and deployment, complemented by a globally distributed inference infrastructure designed for low latency and reliable scale. Vivgrid aims to help users master the right mental model to ship resilient AI systems.

Orq.ai is a GenAI collaboration platform for software teams to scale LLM applications. Orq.ai is a generative AI collaboration platform designed for software teams to control GenAI and deliver LLM applications at scale. It provides MLOps tooling to manage prompts for all LLMs, creating a single source of truth, enabling experimentation on multiple LLMs for quality and pricing, customizing them for specific contexts, and collecting feedback on accuracy and economics. It helps teams optimize prompts, deploy use cases, and monitor performance, offering an end-to-end platform for continuous delivery of LLM apps.

Open-source platform for tracing and evaluating AI applications. Laminar is an open-source platform designed for tracing and evaluating AI applications. It allows developers to build, deploy, and monitor next-generation AI apps with features like complex async pipelines, a fast Rust backend, version control for production releases, and zero-latency-overhead logs for monitoring each pipeline node. Laminar provides observability, evals, and browser agent capabilities to help developers build reliable AI products.

AI Observability and Security platform for monitoring and protecting LLM and ML models. Fiddler AI offers an AI Observability and Security platform designed to monitor, explain, analyze, and protect LLM applications and ML Models. It provides visibility and actionable insights, enabling enterprises to ship more predictive and generative models and LLM applications into production safely and responsibly. The platform includes features like LLM and ML monitoring, alerts, segmentation, root cause analysis, visualization, custom metrics, and reports. Fiddler Trust Models deliver fast response times and high accuracy in monitoring hallucination, PII, and prompt injection attacks.

Platform for evaluating, optimizing, and shipping AI agents. Scorecard is a platform designed to help teams build, test, evaluate, optimize, and ship enterprise AI agents, particularly LLM apps. It aims to deliver predictable AI experiences that improve with every update by providing tools for continuous evaluation, performance testing, and prompt management. Scorecard helps users understand how their AI models behave, catch problems early, fix them fast, and ensure AI agents work reliably in production. It addresses common challenges in AI development such as slow feedback cycles and silos between development and production by creating a continuous feedback loop.

AI gateway reducing LLM costs by 50% through edge-native token compression. Edgee is an AI Gateway designed to optimize and manage LLM traffic at the edge. Its standout feature is edge-native token compression, which reduces the size of prompts before they reach providers like OpenAI or Anthropic, cutting costs by up to 50% without losing the user's intent. It provides a single, OpenAI-compatible API to access over 200 models, offering intelligent routing, fallbacks, real-time observability, and cost governance. Developers can use it to track spending by feature or team, host private models, and invoke edge tools to lower latency and improve reliability in production AI applications.

AI observability and evaluation platform for LLM applications. HoneyHive is an AI observability and evaluation platform designed for teams building LLM applications. It provides tools for AI evaluation, testing, and observability, enabling engineers, PMs, and domain experts to collaborate within a unified LLMOps platform. HoneyHive helps teams test and evaluate their applications, monitor and debug LLM failures in production, and manage prompts within a collaborative workspace.

AI Observability Platform for monitoring, explaining, and analyzing ML model performance in production. Censius is an AI Observability Platform that helps organizations confidently make their machine learning models work in production. It provides a comprehensive ML monitoring solution to proactively monitor entire ML pipelines, detecting and fixing issues like drift, skew, data integrity, and data quality problems. The platform helps teams understand, analyze, and improve the real-world performance of AI models, offering end-to-end visibility of structured and unstructured production models.

Unified LLM engineering platform for observability, evaluations, prompt optimization, and AI gateway services. Respan (formerly Keywords AI) is a comprehensive LLM engineering platform designed to help teams build, monitor, and optimize AI agents. It unifies observability, evaluations, prompt optimization, and a unified AI gateway into a single interface. The platform allows developers to trace agent execution paths, evaluate performance using LLM-as-judge or human review, manage prompt versions, and access over 500 models through a single API endpoint. It is built to handle massive scale, supporting trillions of tokens while maintaining rigorous security standards like SOC 2 and HIPAA.

DataRobot provides an AI platform and applications to maximize AI impact and minimize risk. DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business. DataRobot MLOps provides a center of excellence for your production AI. This gives you a single place to deploy, monitor, manage, and govern all your models in production, regardless of how they were created or when and where they were deployed. DataRobot is the leader in Value-Driven AI – a unique and collaborative approach to AI that combines our open AI platform, deep AI expertise and broad use-case implementation to improve how customers run, grow and optimize their business. DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business

Vellum AI: A platform for developing, evaluating, and deploying AI products. Vellum AI is a platform designed to help AI product developers take their ideas from early-stage concepts to production-grade features. It provides tooling for experimentation, evaluation, deployment, monitoring, and collaboration, all in one place. Vellum offers features like a visual workflow builder, an SDK, prompt engineering tools, evaluation metrics, retrieval UIs and APIs, one-click deployment, and observability tools to track AI decisions.

AI observability platform for monitoring machine learning models and ensuring AI application security. WhyLabs is an AI observability platform that prevents model performance degradation by allowing you to monitor your machine learning models in production. It offers AI observability, LLM security, and model monitoring, helping to guardrail Generative AI applications in real-time to mitigate data leakage, prompt attacks, and hallucinations. WhyLabs provides solutions for data-driven enterprises, focusing on LLM security, ML monitoring, and AI observability across various industries.

Aporia offers AI security, reliability, and observability solutions, now part of Coralogix. Aporia provides state-of-the-art Guardrails and Observability for any AI workload. Deliver secure and reliable AI with Aporia. Aporia has been acquired by Coralogix, instantly bringing AI security and reliability to thousands of enterprises.