LangChain, Inc.

About LangChain, Inc.

Financials

Dated, source-cited figures. Estimates are marked.

Products by LangChain, Inc.

All products by LangChain, Inc. reviewed by our AI panel of experts.

LangSmithLLM Platforms

Observability and evaluation tooling for LLM applications

From $39/mo8.2/10

LangchainLLM Platforms

Open-source framework for building applications with large language models

From $39/mo8.0/10

How Our Review Panel Scores LangChain, Inc.

Six independent reviewer personalities assessed LangChain, Inc.'s products on their own terms. They landed within 0.6 points of each other, an unusually strong consensus.

Averaged across 2 reviewed products in our catalog. Scores are out of 10.

Competitive Landscape

Who LangChain, Inc. competes with, and how they differ.

Arize AI8.1/10

Focuses primarily on ML/LLM observability and evaluation (Arize Phoenix is open-source and can be self-hosted), competing directly with LangSmith rather than offering an orchestration framework.

1 product reviewed on TopReviewed

LlamaIndex7.9/10

Open-source data framework for building LLM applications with a stronger emphasis on data indexing and retrieval, overlapping with LangChain's orchestration use cases.

1 product reviewed on TopReviewed

Hugging Face8.9/10

Broader ML ecosystem centered on model hosting and hub-based distribution rather than application orchestration, but offers overlapping tooling like Transformers Agents for building LLM pipelines.

1 product reviewed on TopReviewed

Weights & Biases8.0/10

Enterprise-focused MLOps and LLM observability platform (Weave) competing with LangSmith on experiment tracking and tracing, without an equivalent open-source orchestration framework.

1 product reviewed on TopReviewed

Together AI8.0/10

Primarily an inference and fine-tuning infrastructure provider rather than an application framework, competing more with LangChain's model-serving integrations than its core orchestration layer.

1 product reviewed on TopReviewed

Company Timeline

Key milestones in LangChain, Inc.'s history, with sources.

1. Oct 22, 2025Launch

   LangChain 1.0 and LangGraph 1.0 reach general availability

   LangChain and LangGraph both shipped their first stable 1.0 releases, introducing the create_agent abstraction and a middleware system, with the team committing to no breaking changes until 2.0.

   langchain.com
2. Oct 20, 2025Funding

   Series B — $125M led by IVP at $1.25B valuation

   LangChain raised a $125 million Series B led by IVP at a $1.25 billion valuation, reaching unicorn status with participation from Sequoia, Benchmark, CapitalG, Sapphire Ventures and other investors.

   langchain.com
3. May 14, 2025Launch

   LangGraph Platform reaches general availability

   LangGraph Platform, managed infrastructure for deploying and scaling long-running, stateful AI agents, reached general availability; nearly 400 companies had used it in production since its beta launch the prior June.

   langchain.com
4. Feb 15, 2024Launch

   LangSmith reaches general availability

   LangSmith, LangChain's platform for testing, monitoring and evaluating LLM applications, reached general availability after a closed beta that drew more than 70,000 signups.

   langchain.com
5. Feb 15, 2024Funding

   Series A — $25M led by Sequoia Capital

   LangChain raised a $25 million Series A led by Sequoia Capital, announced the same day as the general availability of LangSmith.

   langchain.com
6. Oct 12, 2023Launch

   LangServe launched

   LangChain launched LangServe, a tool for deploying LangChain Expression Language (LCEL) chains and agents as production-ready REST APIs.

   langchain.com
7. Apr 4, 2023Funding

   Seed round — $10M led by Benchmark

   LangChain raised a $10 million seed round led by Benchmark, which cited its track record as first lead investor in open-source companies including Docker, Confluent, Elastic and ClickHouse.

   langchain.com
8. 2022Founded

   LangChain launched as an open-source project

   Harrison Chase released LangChain as an open-source Python package from his personal GitHub account, growing out of experiments building applications with large language models.

   langchain.com