LangChain
LangChain provides open-source agent frameworks (LangChain, LangGraph, Deep Agents) and the commercial LangSmith platform for building, evaluating, deploying, and monitoring production AI agents, serving 6,000+ enterprise customers including 5 of the Fortune 10.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What LangChain does
LangChain is a venture-backed AI agent infrastructure company founded in 2022 and headquartered in San Francisco, California, operating a hybrid open-source and commercial model. The open-source layer consists of three core frameworks — LangChain (the original LLM-application framework), LangGraph (a low-level stateful agent orchestration framework with durable execution and human-in-the-loop support), and Deep Agents (an open-source harness for long-running multi-step agents) — which collectively generate more than 100 million monthly downloads across PyPI and npm and form the largest active builder community in AI with over one million developers. The commercial layer is the LangSmith platform, a framework-agnostic agent engineering product that bundles observability (native OpenTelemetry, multi-language SDKs in Python, TypeScript, Go, and Java), evaluation, deployment (LangSmith Deployment with 30+ API endpoints and native A2A, MCP, and Agent Protocol support), the proactive LangSmith Engine for autonomous agent debugging, the no-code LangSmith Fleet for non-technical users, and LangSmith Sandboxes for secure code execution via MicroVM isolation.
LangChain monetizes primarily through LangSmith subscriptions with usage-based metering via LangChain Compute Units (LCUs) that bundle compute, storage, memory, and LLM usage, plus enterprise self-hosted and bring-your-own-cloud (BYOC) contracts on AWS, GCP, and Azure Kubernetes with US and EU data residency and SOC 2, HIPAA, and GDPR compliance. The go-to-market blends product-led growth (free-tier self-serve at smith.langchain.com fed by the open-source funnel) with enterprise field sales, community-led programs (LangChain Academy, the LangSmith for Startups program, the annual Interrupt conference), and a formal LangChain Partner Network spanning technology, channel, and consulting partners. The company serves 6,000+ active paying LangSmith customers including 5 of the Fortune 10, with named enterprise logos spanning financial services (Klarna, Ally Financial, Bridgewater, Nubank), healthcare (Bristol Myers Squibb, Abridge), legal (Harvey), technology (LinkedIn, Cisco, Cloudflare, Workday, ServiceNow), transportation (Lyft, Uber, C.H. Robinson, LATAM Airlines, Rakuten), and others.
In 2025–2026, LangChain raised $125 million at a $1.25 billion valuation led by IVP, formed flagship strategic partnerships with NVIDIA (including joining the Nemotron Coalition) and MongoDB, launched LangSmith Engine in general availability, released Deep Agents and Open SWE, expanded its San Francisco headquarters nearly sixfold to 70,000 square feet, and broadened the platform with new modules targeting no-code enterprise users (Fleet), secure code execution (Sandboxes), and prompt optimization (Polly). The company is led by co-founder and CEO Harrison Chase alongside co-founder Ankush Gola.
LangChain firmographics
Firmographics- Name
- LangChain
- Legal name
- LangChain Inc.
- Website
- https://langchain.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Short description
- LangChain provides open-source agent frameworks (LangChain, LangGraph, Deep Agents) and the commercial LangSmith platform for building, evaluating, deploying, and monitoring production AI agents, serving 6,000+ enterprise customers including 5 of the Fortune 10.
- Ownership category
- akta.pro rank
LangChain industry classification
Industry- Product category
- AI Agent Development Platform
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372)
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
- akta.pro secondary industry
- Low-Code/No-Code Application Platforms (HDAEAKAA)
Keywords
Where LangChain is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
LangChain business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure
Revenue model
- LangSmith Platform Subscriptions: Recurring SaaS revenue from the LangSmith agent engineering platform with multiple paid tiers (Plus, Team, Enterprise) scaling with trace volume, plus usage-based metering via LangChain Compute Units (LCUs) that account for compute, storage, memory, and LLM usage.
- LangSmith Engine Consumption: Usage-based revenue from LangSmith Engine, a standalone agent that consumes LangChain Compute Units while analyzing traces, diagnosing issues, writing fixes, and proposing evals; usage scales with the number of traces analyzed and the depth of analysis required.
- Enterprise Self-Hosted & BYOC Licenses: Enterprise contracts for self-hosted and bring-your-own-cloud (BYOC) deployment of LangSmith on customer AWS/GCP/Azure Kubernetes clusters, including SSO/SAML, SCIM, audit logs, RBAC/ABAC, data residency in US or EU, and HIPAA/GDPR/SOC compliance.
- LangSmith for Startups Program: Discounted subscription access for early-stage startups (Vanta, Exa, Cogent, Listen, Rillet, Clay, Abridge, Mercor, Harmonic, Rippling, Harvey, Corridor, etc.) to drive adoption and create a long-term upgrade pipeline to paid tiers.
- Professional Services & Training: Revenue from LangChain Academy courses, certification programs, partner enablement, and enterprise implementation services delivered through the LangChain Partner Network.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Developer (Free) |
| Usage-based | Monthly | Plus / Team (Paid) |
| Subscription | Multi-year contract | Enterprise (Self-hosted / BYOC) |
| Usage-based | Pay-as-you-go | LangSmith Engine consumption |
| Other | Annual | Startups program (discounted) |
Go-to-market motion5 records
Distribution channels6 records
LangChain product offering
Product offeringCore offering
LangChain provides open-source frameworks (the LangChain framework, LangGraph, and Deep Agents) for building LLM-powered applications and agents, paired with LangSmith, a commercial agent engineering platform for observing, evaluating, deploying, and monitoring production agents. The offering spans the full lifecycle from prototype to production and is sold to engineering teams building agentic applications.
Product overview
LangChain operates a hybrid offering combining an open source agent development stack with a commercial deployment platform. The open source layer consists of LangChain (the core LLM-application framework), LangGraph (the stateful agent orchestration framework), Deep Agents (an open source autonomous-agent harness), and Open SWE (an open source autonomous coding agent). The commercial layer is LangSmith, a unified platform that bundles Observability, Evaluation, Deployment, Engine, Fleet, and Sandboxes modules around the open source frameworks to cover the full agent lifecycle from development through production. LangChain Academy complements the product portfolio as the learning platform for these technologies.
Differentiator
Problem solved
Functional benefit
Brands
- LangSmith: Framework-agnostic agent engineering platform for observing, evaluating, and deploying AI agents; includes Engine, Observability, Evaluation, Deployment, Fleet, and Sandboxes components.
- LangGraph
- Deep Agents
- LangChain (open source framework)
- LangChain Academy
- LangSmith Engine
- LangSmith Fleet
- LangSmith Sandboxes
Products and services
- LangSmith
Quantifiable outcome
- Klarna reduced case resolution time by 80% with LangSmith
- +8 more outcomes
Companies that use LangChain
Customer profileNamed customers42 records
Ideal customer profiles3 records
LangChain technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration30 records
AI capability10 records
Feature9 records
LangChain partnerships and signals
Strategic signalPartnerships
22 partnerships are on record, tiered flagship, core and minor.
- MongoDBflagshipStrategic partnership to make MongoDB Atlas the premier backend for production-ready AI agents, integrating vector search, persistent agent memory, and observability into Atlas for over 65,000 enterprise customers. LangChain JS Long-Term Memory Store was also added to MongoDB Atlas Vector Search.
- PagerDutycoreStrategic AI partnerships with Anthropic, Cursor, and LangChain to expand PagerDuty's AI integration ecosystem, enabling developers to detect hazardous code modifications and accelerate root cause analysis through plugins. Expanded to 30+ AI partners across 11 categories.
- Amazon Web Services (AWS)flagshipAmazon SageMaker AI introduced OpenAI-compatible API support enabling LangChain (and OpenAI SDK, Strands Agents) users to invoke models on SageMaker by simply changing the endpoint URL — no custom client, SigV4 wrapper, or code rewrites required.
- SaviyntcoreIntegration of Saviynt's identity security and governance with LangChain to treat each AI agent as a governed identity from inception through retirement, enforcing predefined access rules at runtime and blocking unauthorized actions at machine speed.
- NebiuscoreIntegration of Nebius Token Factory with LangChain's Deep Agents framework, enabling teams to run on production-grade infrastructure with 30+ open-source models (Llama, Qwen, DeepSeek, NVIDIA Nemotron), dedicated endpoints, autoscaling, 99.9% uptime SLA, and OpenAI-compatible API. Also incorporates Tavily for real-time web search.
- TealiumcoreAdded LangChain to Tealium's AI Partner Ecosystem alongside OpenAI, Amazon Bedrock, and Pinecone. Integration enables enterprises to ground RAG pipelines and LLM agents in real-time, consented customer data.
- AxtriacoreStrategic partnership combining Axtria's pharma-native AgentOps framework with LangChain's LangSmith agent development platform to help life sciences enterprises deploy AI agents from pilot to governed production, with GxP traceability, drug safety evaluators, and audit-ready infrastructure. Already deployed at a leading global biopharma.
- AktocoreTechnology partnership embedding Akto's AI Agent Security runtime guardrails, continuous discovery, and observability directly into LangChain (alongside Portkey, TrueFoundry, Arcade.dev, and LiteLLM) to protect against prompt injection, uncontrolled tool access, and sensitive data leakage.
- DataCampcorePartnership to launch an AI Engineering with LangChain learning track, teaching developers how to build and deploy AI applications using LangChain frameworks. Curriculum covers application development, evaluation, RAG, tool use, and agent-based systems.
- Orange BusinesscoreCo-developed Live Intelligence Studio, an AI agent platform with LangChain, announced at Orange Business Summit 2026 in Paris with data sovereignty and European infrastructure hosting as a competitive differentiator against global providers.
- NVIDIAflagshipLangChain and NVIDIA announced a comprehensive integration combining LangChain's agent engineering platform and open-source frameworks with NVIDIA's AI toolkit to create an enterprise-grade agentic AI development platform. Includes integration of LangSmith with NVIDIA NIM microservices and LangChain joining the NVIDIA Nemotron Coalition to co-develop frontier open AI models.
- NVIDIA Nemotron CoalitionflagshipLangChain joined the Nemotron Coalition of eight AI labs (Black Forest Labs, Cursor, LangChain, Mistral AI, Perplexity, Reflection AI, Sarvam, Thinking Machines Lab) to collaboratively develop open frontier-level AI models on NVIDIA DGX Cloud infrastructure, with the first project co-developed with Mistral AI to underpin the upcoming NVIDIA Nemotron 4 family.
- CiscocoreCisco's AI Defense secures LangChain agents; Cisco is a LangSmith customer centralizing observability and a featured Interrupt 2026 production case study.
- Stanford Graduate School of BusinessminorLangChain regularly visits Stanford GSB professor Yuyan Wang's MBA course on AI Technology for Business Problems to provide real-world perspectives, alongside Anthropic, OpenAI, and Neo4j.
- HarveycoreCo-developed "Designing Efficient Verifiers for Legal Agents" through the LangChain Labs program; Harvey also backed Harvey's launch of the Legal Agent Bench (LAB), an open-source benchmark for testing AI agents on real-world legal tasks, alongside Nvidia, OpenAI, Anthropic, Mistral, and DeepMind.
- Fireworks AIcoreLangChain Labs partnered with Fireworks to build a 100x cheaper trace judge for LangSmith, reducing inference costs for production agent evaluation.
- NVIDIA AI-Q BlueprintcoreJoint NVIDIA + LangChain tutorial on building deep agents for enterprise search using the NVIDIA AI-Q Blueprint integrated with LangChain's Deep Agents framework.
- Schneider ElectricminorSchneider Electric works with technology partners including NVIDIA, Microsoft, and LangChain to scale industrial AI; launched Sera AI agent for conversational interaction with environmental and operational data.
- KlarnacoreKlarna is a flagship LangSmith customer that uses LangChain frameworks and LangSmith to power its AI assistant, reducing case resolution time by 80%.
- Anthropic / Claude CodeflagshipLangChain open-source frameworks integrate natively with Anthropic's Claude API. Open SWE hosted version at swe.langchain.com requires an Anthropic API key. PagerDuty's AI integration ecosystem expansion includes Anthropic Claude Code alongside LangChain.
- OpenAIflagshipLangChain open-source framework provides native integration with OpenAI's API and OpenAI-compatible endpoints (e.g., Amazon SageMaker AI). Used pervasively as the default reasoning backbone.
- TavilycoreReal-time web search capability integrated into the Nebius-LangChain partnership to provide full observability across the agent stack without additional instrumentation.
Scale indicators14 records
Recent moves7 records
Expansion highlights8 records
LangChain competitors and assessment
Company assessmentDirect peers
- LlamaIndex: LlamaIndex is a direct competitor in the LLM application framework space, offering data ingestion, indexing, and retrieval (RAG) tooling that overlaps heavily with LangChain's framework. Both target developers building production LLM applications and have an open-source-plus-commercial hybrid model.
- CrewAI: CrewAI is a direct competitor focused on multi-agent orchestration, allowing developers to define role-based agent crews. It competes with LangGraph and Deep Agents for the multi-agent builder segment and has raised significant venture funding at a comparable valuation.
- Microsoft AutoGen: Microsoft's AutoGen is an open-source multi-agent framework directly comparable to LangGraph. Backed by Microsoft and integrated with Azure AI Foundry, it competes for the same enterprise agent-building segment with the added advantage of Microsoft's distribution.
- Microsoft Semantic Kernel: Semantic Kernel is Microsoft's SDK for integrating LLMs into applications with planning, memory, and tool-use capabilities — directly comparable to LangChain's framework. It benefits from deep .NET/Azure integration and enterprise Microsoft distribution channels.
- Google Agent Development Kit (ADK): Google's open-source Agent Development Kit is a framework for building and deploying multi-agent systems, directly comparable to LangGraph. Backed by Google Cloud distribution and Vertex AI integration, it represents the hyperscaler-backed alternative to LangChain's open-source stack.
Broad incumbents
- OpenAI Agents SDK: OpenAI's Agents SDK provides first-party agent building, tracing, and deployment tooling tightly coupled with OpenAI's models. It competes with both LangChain's framework and parts of LangSmith, and benefits from OpenAI's model-side distribution that LangChain must integrate against rather than own.
Emerging players
- Arize AI: Arize AI is an LLM observability and evaluation platform (Arize Phoenix, AX) that directly overlaps with LangSmith Observability and Evaluation modules. It is a focused emerging competitor in the agent observability wedge where LangSmith is the incumbent.
- Portkey: Portkey is an AI gateway and observability platform offering LLM routing, fallbacks, and tracing. It competes with parts of LangSmith's observability and deployment stack and is integrated alongside LangChain as a complementary tool in some enterprise stacks.
- Helicone: Helicone is an open-source LLM observability platform providing tracing, evaluation, and prompt management. It overlaps with LangSmith Observability and Evaluation and is frequently deployed as a lighter-weight alternative in cost-sensitive or open-source-first deployments.
- Dust.tt: Dust is an enterprise AI agent platform with a no-code builder, model-neutral integrations, and team collaboration features. It competes most directly with LangSmith Fleet and parts of the LangSmith deployment stack for the line-of-business agent buyer persona.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat7 records
Key risks6 records
Key highlights7 records
Customer concentration
LangChain social profiles
Digital presenceLangChain compliance and trust
Trust signalCompliance3 records
LangChain financial estimates
Financial estimateRevenue estimate
Valuation estimate
LangChain leadership team
Management profileNumber of profiles
Profiles2 records
LangChain funding detail
Funding detailFunding overview
Funding rounds3 records
Investors14 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
LangChain M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about LangChain
What does LangChain do?
LangChain provides open-source frameworks (the LangChain framework, LangGraph, and Deep Agents) for building LLM-powered applications and agents, paired with LangSmith, a commercial agent engineering platform for observing, evaluating, deploying, and monitoring production agents. The offering spans the full lifecycle from prototype to production and is sold to engineering teams building agentic applications.
Is LangChain a public or private company?
LangChain is a private company. It is classified as venture growth investor backed and is currently operating.
When was LangChain founded?
LangChain was founded in 2022. It employs 251 to 500 people.
Where is LangChain based?
LangChain is headquartered in San Francisco, United States, in the North America region.
How does LangChain make money?
Five revenue lines are on record. LangSmith Platform Subscriptions are the primary driver. The others are langSmith Engine Consumption, enterprise Self-Hosted & BYOC Licenses, langSmith for Startups Program and professional Services & Training.
Who are LangChain's main competitors?
Direct peers on record are LlamaIndex, CrewAI, Microsoft AutoGen, Microsoft Semantic Kernel and Google Agent Development Kit (ADK). OpenAI Agents SDK is listed as a broad incumbent. Emerging players are Arize AI, Portkey, Helicone and Dust.tt.
Does LangChain have an API?
Yes. LangSmith exposes 30+ API endpoints including A2A, MCP, and Agent Protocol endpoints. Developers can build and deploy agentic workflows using the LangSmith Deployment platform, with public-facing infrastructure supporting SDKs in Python, TypeScript, Go, and Java. APIs support multi-tenant agent deployment with isolation, queue-based scheduling, and integration with OpenTelemetry for observability. Developer documentation is at docs.langchain.com.
What industry is LangChain in?
LangChain's product category is AI Agent Development Platform. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG), with a secondary code of HDAEAKAA, Low-Code/No-Code Application Platforms. Its NAICS code is 5132 and its SIC code is 7373.