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    3. LangChain, Inc.

    LangChain, Inc.

    San Francisco, CaliforniaFounded 2023
    3Tools Listed
    42Combined Tool Views

    Building the leading platform for agent engineering to make AI agents as reliable as databases and APIs. Provides open source frameworks (LangChain and LangGraph) for speed and granular control, plus commercial platform (LangSmith) for observability, evaluation, and deployment to help AI teams create dependable LLM systems in production.

    WebsiteView ToolsView Discussions

    Founding Story

    LangChain began as an open source side project by Harrison Chase in October 2022, who released the first version of the Python package on October 24, 2022. Chase quickly partnered with Ankush Gola, a former colleague from Robust Intelligence, to expand the framework. Within six months, the project gained tremendous traction with 20,000+ GitHub stars, 10,000+ active Discord members, and 350+ contributors. The project was officially incorporated as LangChain, Inc. in January 2023 with Chase as CEO and Gola as CTO. The company evolved from a simple library to a comprehensive platform addressing the full lifecycle of building, testing, deploying, and monitoring AI agents and LLM applications.

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    Leadership

    Founders

    HC

    Harrison Chase

    Harvard graduate in statistics and computer science (2017). Previously served as Machine Learning Engineer at Robust Intelligence (October 2019 - January 2023) and Machine Learning Engineer at Kensho Technologies (July 2017 - October 2019).

    AG

    Ankush Gola

    Co-founder with extensive software engineering background. Previously served as Senior Software Engineer at Facebook (August 2015 - November 2019), Software Engineer/Tech Lead at Robust Intelligence (December 2019 - December 2020), and Head of Engineering at Unfold (December 2021 - October 2022). Holds B.S.E. degree.

    Executive Team

    HC

    Harrison Chase

    Co-Founder and CEO

    Harvard graduate in statistics and computer science. Former Machine Learning Engineer at Robust Intelligence and Kensho Technologies.

    AG

    Ankush Gola

    Co-Founder and CTO

    Former Senior Software Engineer at Facebook and engineering leader at Robust Intelligence and Unfold.

    Business Model

    Revenue Model

    Subscription-based SaaS with usage-based pricing. Revenue streams include: (1) Seat-based subscriptions for LangSmith platform access ($39/seat/month for Plus tier, custom for Enterprise), (2) Usage-based charges for traces (base traces $2.50 per 1k, extended traces $5.00 per 1k), (3) LangSmith Deployment charges based on deployment runs and uptime, (4) Agent Builder runs ($0.05 per run after free tier), (5) Enterprise licenses with custom pricing for self-hosted and hybrid deployments. Open source frameworks (LangChain and LangGraph) are free, with monetization focused on the commercial LangSmith platform.

    Pricing Tiers

    Developer
    Free

    Maximum 1 seat, 5,000 base traces/month included, pay-as-you-go thereafter. Includes tracing, monitoring, online/offline evals, dataset collection, annotation queue, Prompt Hub, bulk data export. 1 Agent Builder agent, 50 Agent Builder runs/month. Cloud hosting only.

    Plus
    $39 per seat/month

    Unlimited seats, 10,000 base traces/month included, pay-as-you-go thereafter. Includes all Developer features plus LangSmith Deployment with 1 free Dev deployment ($0.005/deployment run for additional, $0.0007/min uptime for Dev, $0.0036/min for Production). Unlimited Agent Builder agents, 500 Agent Builder runs/month included ($0.05 per additional run). Cloud hosting, monthly self-serve billing.

    Enterprise
    Custom

    Custom pricing with all Plus features. Includes Cloud, Hybrid, or Self-Hosted deployment options, custom SSO, advanced role-based access control, team trainings, architectural guidance, access to deployed engineers, SLA, custom terms, infosec review. Annual invoice, custom trace allocations and deployment pricing.

    Startup Plan
    Discounted rates (application required)

    Designed for early-stage companies building agentic applications. Discounted rates with generous free trace allotments. Available for 1 year before graduating to Plus Plan.

    Private company, no IPO plans announced

    Target Markets

    Industries & Segments
    • Individual developers and AI researchers
    • Startups building AI-powered applications
    • Enterprise AI teams (35% of Fortune 500 use LangChain services)
    • Software engineering teams implementing LLM applications
    • Data science and machine learning teams
    • Financial services and fintech companies
    Use Cases
    • Building AI agents and autonomous systems
    • Retrieval-Augmented Generation (RAG) chatbots
    • Research assistants and knowledge retrieval systems
    • Customer service automation and support chatbots
    • Financial operations and analysis tools
    • Data operations and business intelligence
    Notable Customers
    • Cisco
    • Replit
    • Clay
    • Harvey

    History & Milestones

    February 2025

    Reached 99,000 GitHub stars and 250,000 LangSmith signups

    September 2, 2025

    Announced alpha releases of LangChain 1.0 and LangGraph 1.0

    October 20, 2025

    Raised $125 million Series B led by IVP, achieving unicorn status at $1.25 billion valuation

    October 22, 2025

    LangChain 1.0 and LangGraph 1.0 officially released as stable versions

    October 29, 2025

    Launched No Code Agent Builder in LangSmith (private preview)

    3 AI Tools by LangChain, Inc.

    LangGraph Swarm tool icon

    LangGraph Swarm

    2mo
    Multi-agent Systems

    A lightweight library for building swarm-style multi-agent systems using LangGraph, enabling agents to hand off tasks to other agents.

    LangGraph Swarm
    LangMem tool icon

    LangMem

    7mo
    Agent Memory

    Open-source SDK from LangChain for long-term memory in LLM agents, with hot-path tools, a background memory manager, and native LangGraph storage integration.

    LangMem
    LangChain tool icon

    LangChain

    9mo
    Agent Frameworks

    Composable framework for building with LLMs, including orchestration for agentic workflows and infrastructure for deploying at scale.

    LangChain

    Quick Facts

    Headquarters
    San Francisco, California
    Founded
    2023
    Investors
    IVP, Sequoia Capital
    Office Locations
    San Francisco

    Latest News

    04/01/2023

    LangChain raises $10M seed round led by Benchmark

    blog.langchain.com
    02/01/2024

    LangChain raises $25M Series A led by Sequoia Capital at $200M valuation

    research.contrary.com
    03/01/2024

    LangGraph officially released to the public

    blog.langchain.com

    Key Capabilities

    29
    600+ integrations with model providers, vector stores, and tools
    Open source Python and JavaScript/TypeScript frameworks
    Modular components including 50+ document loaders and text splitters
    Integration with 70+ model providers including OpenAI, Anthropic, Ollama, Groq
    Integration with 10+ vector databases including Chroma, FAISS, Milvus, MongoDB, Elastic
    Pre-built chains and agents for rapid development

    Integrations & Partnerships

    Platform Integrations

    Python SDK (langchain-python)
    JavaScript/TypeScript SDK (langchain-js)
    70+ LLM model providers (OpenAI, Anthropic, Google Gemini, Ollama, Groq, etc.)
    10+ vector databases (Chroma, FAISS, Milvus, MongoDB, Elastic, Pinecone, etc.)
    50+ document loaders for various file formats
    Integration with Weights & Biases for observability
    Integration with AIM for experiment tracking
    Integration with ClearML for ML operations

    Key Partnerships

    Microsoft (collaboration for enterprise transition to AI)
    MultiOn (powering next-gen web automation)
    ServiceNow (strategic partner and investor)

    Connect

    Website
    langchain.com/about
    GitHub
    langchain-ai
    X / Twitter
    LangChainAI

    AI Topics

    8

    LangChain, Inc. focuses on these topics:

    Agent Frameworks(2)
    LLM Orchestration(1)
    Workflow Automation(1)
    Multi-agent Systems(1)
    AI Development Libraries(1)
    Context Engineering(1)
    Agent Memory(1)
    Retrieval-Augmented Generation(1)
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