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Don't waste time building a technical RAG chatbot. We created one for you. Kapa.ai turns your technical content into a production-ready Al assistant you can deploy to your users and employees in days.

Hire an AI workforce for insurance operations.

Kenect is an AI platform for dealerships that automates communication, boosts reviews, and streamlines service, sales, and payment processes through voice and SMS tools.

The LLM engineering platform thousands of developers love. Easily trace and debug your LLM outputs in production. Keywords AI is basically Datadog for AI applications. Get started with 2 lines of code.

khoj is your intelligent, always available assistant that gives you answers.

Kick is an AI-powered accounting tool that automates bookkeeping, finds tax savings, matches receipts, and generates financial reports in real time.

Kolena is an AI agent built for the insurance industry, automating tasks like underwriting, claims processing, and policy analysis. It streamlines document workflows to reduce manual work and improve efficiency.

Kolena is an AI-driven document automation platform tailored for real estate, financial services, and enterprise workflows. It delivers AI-powered document extraction (lease abstractions, pay application validation, investment memos) with high accuracy (95%+), enterprise-grade security (SOC 2 Type II, HIPAA), and quick processing—cutting handoff time by up to 80%. Integration with cloud storage and property tools, customizable workflows, and zero training on user data enable efficient deployment in compliant environments.

Suna by Kortix is an open-source, generalist AI agent designed for autonomous execution of complex tasks like market research, trip planning, and hiring. Just give it a prompt—Suna handles strategy, operations, and analysis with speed and precision.

Kuberns is the DevOps Autopilot simplifying deployments and cloud management, enabling focus on product and growth.

Building AI agents to help developers ship bug-free code faster. Modern software teams are all about multitasking, and writing tests takes away hours of a developer's valuable time. At KushoAI, we’re building the first AI agent that takes API testing off a developer’s plate. It’s a win-win: Developers focus on what they do best, and product releases are smoother than ever.

kwrds.ai is an AI-powered keyword research platform that uses machine learning and NLP to deliver keyword insights, including real-time data, trend analysis, and search intent, supporting 190+ languages and various user needs in SEO and content strategy.

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna. LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more. LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale. LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead. Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

Open Source LLM Engineering Platform. Langfuse is the 𝗺𝗼𝘀𝘁 𝗽𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝗢𝗽𝘀 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be 𝘀𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗲𝗱 in minutes and is battle-tested and used in production by thousands of users from YC startups to large companies like Khan Academy or Twilio. Langfuse builds on a proven track record of reliability and performance. Developers can trace any Large Language model or framework using our SDKs for Python and JS/TS, our open API or our native integrations (OpenAI, Langchain, Llama-Index, Vercel AI SDK). Beyond tracing, developers use 𝗟𝗮𝗻𝗴𝗳𝘂𝘀𝗲 𝗣𝗿𝗼𝗺𝗽𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗶𝘁𝘀 𝗼𝗽𝗲𝗻 𝗔𝗣𝗜𝘀, 𝗮𝗻𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to improve the quality of their applications. Product managers can 𝗮𝗻𝗮𝗹𝘆𝘇𝗲, 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲, 𝗮𝗻𝗱 𝗱𝗲𝗯𝘂𝗴 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 by accessing detailed metrics on costs, latencies, and user feedback in the Langfuse Dashboard. They can bring 𝗵𝘂𝗺𝗮𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽 by setting up annotation workflows for human labelers to score their application. Langfuse can also be used to 𝗺𝗼𝗻𝗶𝘁𝗼𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗿𝗶𝘀𝗸𝘀 through security framework and evaluation pipelines. Langfuse enables 𝗻𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀 to iterate on prompts and model configurations directly within the Langfuse UI or use the Langfuse Playground for fast prompt testing.

LangMem helps agents learn and adapt from their interactions over time.