LangChain, Inc.
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.
At a Glance
- 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
- +9 more
AI Tools by LangChain, Inc.
(5)
LangGraph
Low-level orchestration framework from LangChain for building stateful, long-running agents with durable execution, human-in-the-loop control, and first-class streaming.
DeepAgents
Open Source Agentic Research Library
LangGraph Swarm
Swarm Multi-Agent Library for LangGraph
LangMem
Python SDK for LLM Agent Memory
LangChain
AI Agent Development Platform
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Latest News
LangChain raises $10M seed round led by Benchmark
LangChain raises $25M Series A led by Sequoia Capital at $200M valuation
LangGraph officially released to the public
LangChain celebrates second birthday with major growth milestones
Products & Services
Open source framework for building AI agents with Python and TypeScript packages. Provides modular components including model integrations with 70+ providers, 50+ document loaders, text splitters, vector database integrations, and tools. Version 1.0 released October 22, 2025 with revamped architecture, new create_agent functionality, middleware for customizing behavior, and standard content blocks compatible with any model provider.
Open source framework for agent orchestration, memory, and human-in-the-loop support. Provides low-level framework for creating agent and multi-agent workflows with fine-grained control, persistence, and graph-based execution model. Version 1.0 released October 22, 2025 with durable state for automatic persistence, built-in persistence to save and resume workflows, and human-in-the-loop patterns with API support.
Commercial platform for agent engineering including Observability (detailed tracing and monitoring), Evaluation (testing and scoring with LLM-as-Judge evaluators), Deployment (formerly LangGraph Platform for deploying and scaling agents), and Agent Builder (no-code text-to-agent experience in private preview). Features Insights Agent for categorizing agent behavior patterns and supports both cloud and self-hosted deployment options.
Library for deploying LangChain chains as RESTful APIs, enabling easy integration and deployment of language model applications.
Market Position
LangChain is the leading open source framework and platform for building AI agents, with significant market advantages including: (1) Largest developer community with 90+ million combined monthly downloads, 118,000+ GitHub stars, and 350+ open source contributors, (2) First-mover advantage having launched in October 2022 before competitors, (3) Comprehensive platform approach combining open source frameworks with commercial observability/deployment tools, (4) Enterprise adoption with 35% of Fortune 500 using their services, (5) Strong integration ecosystem with 600+ integrations across model providers, vector databases, and tools, (6) Production-grade infrastructure used by major companies like Uber, LinkedIn, and Klarna. Main competitors include LlamaIndex, Haystack, and AutoGPT, but LangChain has established itself as the de facto standard for LLM orchestration and agent development.
Leadership
Founders
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).
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
Harrison Chase
Co-Founder and CEO
Harvard graduate in statistics and computer science. Former Machine Learning Engineer at Robust Intelligence and Kensho Technologies.
Ankush Gola
Co-Founder and CTO
Former Senior Software Engineer at Facebook and engineering leader at Robust Intelligence and Unfold.
Board of Directors
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.
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
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.
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.
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.
Designed for early-stage companies building agentic applications. Discounted rates with generous free trace allotments. Available for 1 year before graduating to Plus Plan.
Target Markets
- 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
- 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
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