It is an industry-leading developer platform designed to test, debug, and deploy AI agents, supporting over 400 large language models (LLMs), Crews, and AI agent frameworks.
It is an industry-leading developer platform designed to test, debug, and deploy AI agents, supporting over 400 large language models (LLMs), Crews, and AI agent frameworks. The platform powers thousands of engineers in building reliable AI agents by providing tools to visually track events such as LLM calls, tool usage, and multi-agent interactions. Users can rewind and replay agent runs with precise point-in-time accuracy, ensuring thorough debugging and auditing. The platform maintains a complete data trail, including logs, errors, and prompt injection attacks, from the prototype stage to production. It also tracks, saves, and monitors every token processed by agents, enabling detailed cost management and visualization of agent spending with up-to-date price monitoring. Additionally, it offers cost-effective fine-tuning of specialized LLMs, reducing costs by up to 25x on saved completions.
The platform is free to start, with a Basic plan offering up to 1,000 events per month at no cost. Features include an Agent Agnostic SDK, LLM cost tracking for over 400 LLMs, and replay analytics. The Pro plan starts at $40 per month, providing up to 10,000 events, unlimited log retention, session and event export, dedicated Slack and email support, and role-based permissioning. For larger-scale needs, the Enterprise plan offers custom pricing and includes everything in the Pro plan, plus additional features such as SLAs, Slack Connect, custom SSO, on-premise deployment, custom data retention policies, self-hosting options (AWS, GCP, Azure), and compliance with SOC-2, HIPAA, and NIST AI RMF standards.
The platform emphasizes flexibility and scalability, catering to developers at all stages, from prototyping to enterprise-level deployment. It also provides comprehensive documentation, enterprise support, and a dashboard for managing agents. The company ensures transparency in its use of cookies to enhance user experience, with detailed information available in its cookie policy. The platform’s mission is to empower developers to build high-agency AI systems, offering tools for time-travel debugging, cost tracking, fine-tuning, and more, under the tagline “Every Agent Needs AgentOps.”
It is an all-in-one developer platform designed to support every phase of the lifecycle of LLM-powered applications, whether built with LangChain or not.
It is a comprehensive cloud-based testing platform designed to facilitate manual and automated testing across various browsers, devices, and operating systems.
It is an open-source platform designed to enhance AI development by providing tools for tracing, evaluating, and optimizing large language model (LLM) applications in real time.
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is an AI-driven observability platform designed to monitor, analyze, and optimize GitHub Actions workflows by detecting anomalies, identifying root causes, and providing actionable fixes to improve CI pipeline performance and developer productivity.
It is a framework designed to help developers build applications that make decisions, such as chatbots, agents, and simulations, using simple Python building blocks.
It is an open-source LLMOps platform called Agenta that provides integrated tools for prompt engineering, versioning, evaluation, and observability, all in one place.
It is an AI programming assistant designed to help users develop code by planning, writing, debugging, and testing projects autonomously or collaboratively with human input.
It is a framework designed to unify and optimize human-designed prompt engineering techniques for improving problem-solving capabilities of Large Language Models (LLMs) by representing LLM-based agents as computational graphs.
It is a tool designed to automate manual research tasks at scale using AI agents, enabling users to enrich lists, research companies, or process hundreds of documents in minutes through a native table interface.
It is a company that builds plug-and-play AI agents designed to help healthcare practices operate more efficiently by simplifying daily operations and integrating seamlessly into existing workflows.
It is a cloud-based AI platform designed to empower data and business teams by providing real-time insights, SQL generation, dashboards, and reports through natural language queries.
It is an AI-powered email assistant called Jace that researches your emails, calendar, web, and files to draft responses, schedule meetings, and manage your inbox efficiently.
It is an AI-powered platform called Canvas that leverages customer data to detect risks, uncover growth opportunities, and drive client value through Proactive Intelligence.
It is a platform designed to streamline business operations by automating repetitive tasks and workflows using AI agents, ensuring speed, accuracy, and compliance.
