This LangChain company profile covers the company's valuation, revenue, funding rounds, investors and history. LangChain works in developer tools, with a focus on AI agent frameworks and observability. It was founded in 2022 and is headquartered in San Francisco, California, United States. Its latest valuation on record is US$1.25 billion (October 2025). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.
Revenue
Funding history
| Date | Round | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| Oct 2025 | Series B | US$125M | US$1.25B | IVP (lead); Sequoia Capital, Benchmark, Amplify Partners, CapitalG, Sapphire Ventures and strategic investors | LangChain (company announcement) |
| 2023 | Series A | US$25M | About US$200M | Sequoia Capital (lead) | TechCrunch |
LangChain timeline
Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.
- 2022 — LangChain is founded in San Francisco by Harrison Chase (CEO) and Ankush Gola.
- 2023 — Series A: US$25M, valuing the company at About US$200M. Investors: Sequoia Capital (lead).
- Oct 2025 — Series B: US$125M, valuing the company at US$1.25B. Investors: IVP (lead); Sequoia Capital, Benchmark, Amplify Partners, CapitalG, Sapphire Ventures and strategic investors.
Investors
Overview
LangChain builds open-source frameworks and commercial tools that developers use to create AI applications and agents. Its original LangChain library became one of the most popular open-source projects in generative AI, giving developers building blocks to connect large language models with data, tools and memory. LangGraph, its framework for building controllable, stateful agents, and LangSmith, its commercial platform for testing, monitoring and debugging AI applications, are now central to its business. In October 2025 LangChain raised US$125 million at a US$1.25 billion valuation, led by IVP, and released version 1.0 of LangChain and LangGraph.
Harrison Chase, the CEO, started LangChain as an open-source side project in October 2022, shortly before ChatGPT launched, while working as a machine learning engineer at Robust Intelligence. It quickly attracted a large developer community, and Chase founded the company with Ankush Gola in 2023. LangChain is based in San Francisco.
Products
- LangChain: an open-source framework for building applications with large language models, including integrations with hundreds of models, databases and tools.
- LangGraph: an open-source framework for building agents as graphs of steps, with control over state, memory and human approval.
- LangSmith: a commercial platform for tracing, evaluating, testing and monitoring AI applications and agents.
- Deployment platform: infrastructure to deploy and scale agents built with LangGraph.
Funding
LangChain raised a US$10 million seed round led by Benchmark in April 2023 and a US$25 million Series A led by Sequoia Capital at about US$200 million later that year. In October 2025 it announced US$125 million at a US$1.25 billion valuation, led by IVP with existing investors Sequoia, Benchmark and Amplify and new investors CapitalG and Sapphire Ventures; strategic investors reported in coverage included ServiceNow Ventures, Workday Ventures, Cisco Investments, Datadog and Databricks.
Business model
LangChain's frameworks are free and open source, which drives adoption. It earns revenue mainly from LangSmith and its deployment platform, sold as subscriptions with usage-based pricing and enterprise plans. The open-source projects create a large funnel of developers, some of whom bring LangSmith into their companies as AI applications move to production.
Competition
LangChain competes with other agent frameworks such as LlamaIndex, CrewAI, Microsoft's AutoGen and Semantic Kernel, and agent SDKs from OpenAI, Anthropic and Google; and in observability with tools such as Arize, Weights & Biases, Braintrust and Datadog. Its advantages are a large community, broad integrations and a combined framework-plus-platform offering.
LangChain at a glance
LangChain is a San Francisco AI developer tools company that began as Harrison Chase's open-source project in 2022 and was founded as a company with Ankush Gola. It builds the LangChain and LangGraph frameworks and the LangSmith platform. It raised US$125 million at a US$1.25 billion valuation in October 2025, led by IVP.
Timeline
- October 2022: LangChain open-source project launches.
- April 2023: raises a US$10 million seed led by Benchmark.
- 2023: raises US$25 million Series A led by Sequoia; launches LangSmith.
- 2024: launches LangGraph.
- October 2025: raises US$125 million at US$1.25 billion; releases version 1.0.
From demos to production agents
Building an impressive AI demo is easy; making an agent reliable enough for customers is hard. Agents can take unexpected paths, call tools incorrectly or produce wrong answers. Developers need ways to see exactly what an agent did, test it against many scenarios, measure quality and catch regressions when they change prompts or models. LangSmith addresses that need, which is why observability and evaluation have become a key part of LangChain's business as companies move from experimentation to production.
Open-source economics
Open-source software can spread quickly because anyone can use it, but the company behind it must find a way to earn money. LangChain's approach is to keep frameworks free while charging for hosted tools that teams need in production. The challenge is that large platforms and cloud providers can offer similar features, and developers can switch frameworks as the field evolves.
Who funds LangChain
LangChain's investors include IVP, Sequoia Capital, Benchmark, Amplify Partners, CapitalG and Sapphire Ventures, along with strategic investors from enterprise software and data companies.
Who uses LangChain
LangChain's users include developers at startups and large enterprises building chatbots, AI assistants, retrieval-augmented generation systems and autonomous agents.
Valuation context
LangChain's valuation rose more than sixfold between 2023 and 2025, reflecting the growth of AI agents. Our guide to AI agent companies compares it with peers.
Risks
- Competition from model providers: OpenAI, Anthropic and Google offer their own agent tools.
- Monetisation: converting open-source users to paying customers.
- Fast-changing field: new frameworks can quickly gain popularity.
Questions for developers
- Which framework fits your agent's complexity and control needs?
- What does LangSmith cost at your usage level?
- Can you self-host for data privacy requirements?
What developers build with LangChain
A common LangChain project is a customer support assistant that answers questions using a company's documentation. Developers use LangChain components to load documents, split them into chunks, store them in a vector database, retrieve relevant passages for each question and pass them to a language model with instructions. With LangGraph, they can build an agent that decides when to look up an order, when to escalate to a human and when to ask a clarifying question, with each step defined in a graph. LangSmith records every step so developers can see why the agent gave a particular answer, run evaluation sets to compare prompts or models, and monitor quality in production. This workflow, from prototype to monitored production system, is what LangChain aims to support end to end.
Teams often start with the open-source libraries and adopt LangSmith once applications move toward production.
Its large community is one of its strongest advantages.
Enterprises also value its integrations with existing data and security tools, which shorten the path from prototype to production.
Latest developments (October 2026)
LangChain's October 2025 Series B of US$125 million, led by IVP at US$1.25 billion, remains its latest round. The company continues to grow its LangSmith observability and LangGraph agent tools for developers building AI agents, competing with frameworks from model providers and cloud platforms. See our developer tools guide.
What to watch
Watch LangSmith adoption, enterprise customers, competition from model providers and new funding.
Takeaways
Developers can build and monitor AI agents with popular open-source tools. Founders can see how a side project became a unicorn. Investors should watch monetisation of open source.
Sources
Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.
Frequently asked questions
What does LangChain do?
LangChain is a developer tools / ai agent frameworks and observability company headquartered in San Francisco, California, United States. It was founded in 2022.
What is LangChain's valuation?
LangChain was valued at US$1.25 billion as of October 2025, according to LangChain (company announcement). Private company valuations are set at funding rounds or share sales and can change significantly between them.
How much revenue does LangChain make?
LangChain is a private company and has not publicly disclosed its revenue. Figures on third-party sites are usually modelled estimates rather than numbers reported by the company.
What was LangChain's latest funding round?
The most recent financing we have verified is a series b in Oct 2025: US$125M, at a valuation of US$1.25B. Source: LangChain (company announcement).
Who are LangChain's investors?
Investors named in public announcements include IVP, Sequoia Capital, Benchmark, Amplify Partners, CapitalG, Sapphire Ventures, ServiceNow Ventures, Workday Ventures and Databricks.
Who founded LangChain?
LangChain was founded in 2022 by Harrison Chase (CEO) and Ankush Gola.
Is LangChain a public company?
No. LangChain is a private company (private, venture backed), so its shares are not traded on a stock exchange and it isn't required to publish its financial results.
Where is LangChain headquartered?
LangChain is headquartered in San Francisco, California, United States.