List of LangChain Customers
LangChain
2660 3rd Street Apartment 629,
San Francisco, x, CA,
United States
San Francisco, x, CA,
United States
n/a
Professional Services
50
$5M
Since 2010, our global team of researchers has been studying LangChain customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased LangChain for AI Frameworks and Libraries from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using LangChain for AI Frameworks and Libraries include: ServiceNow, a United States based Professional Services organisation with 29187 employees and revenues of $13.28 billion, AeroVironment, a United States based Aerospace and Defense organisation with 3750 employees and revenues of $820.0 million, Hillstone Networks, a United States based Professional Services organisation with 2000 employees and revenues of $290.0 million, CommandBar, a United States based Professional Services organisation with 40 employees and revenues of $5.0 million, Athena Intelligence, a United States based Professional Services organisation with 30 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using LangChain, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The LangChain customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AeroVironment | Aerospace and Defense | 3750 | $820M | United States | LangChain | LangChain | AI Frameworks and Libraries | 2020 | n/a |
In 2020 AeroVironment implemented LangChain as an AI Frameworks and Libraries component to operationalize generative AI workflows within its engineering stack. LangChain was adopted to provide developer-level orchestration for prompt engineering, chain composition, and retrieval-augmented generation across autonomy and R&D software efforts.
The LangChain deployment focused on core framework capabilities common to the AI Frameworks and Libraries category, including chain orchestration, prompt templates and management, agent patterns, and document retrieval pipelines. Implementations emphasized integration points with model endpoints and vector store style retrieval layers, enabling combined language model and data retrieval workflows for prototype and production code paths.
Operational scope centered on AeroVironment engineering and autonomy software teams in the United States, where LangChain artifacts were embedded into CI pipelines and developer environments. Governance for LangChain usage emphasized version control of chain and prompt artifacts, access controls for model and data connectors, and code review practices to manage reuse and consistency across projects.
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Athena Intelligence | Professional Services | 30 | $5M | United States | LangChain | LangChain | AI Frameworks and Libraries | 2024 | n/a |
In 2024, Athena Intelligence implemented LangChain as the core AI framework for its Olympus research and report generation platform. The deployment used LangChain in the AI Frameworks and Libraries category to support enterprise analytics and research synthesis for finance and market research across the United States.
LangChain provided retriever, document, and tool abstractions to structure ingestion, retrieval augmented generation workflows, and orchestration of model calls within Olympus. LangGraph and LangSmith were used alongside LangChain, and LangSmith enabled rapid iteration and production observability, resulting in faster development cycles and improved citation and grounding in generated reports.
The implementation targeted research and analytics business functions, centralizing report generation and synthesis workflows for finance and market research teams. Governance and operational practices were updated to embed observability driven iteration and monitoring of provenance, supporting ongoing tuning of retrieval and grounding behaviors.
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CommandBar | Professional Services | 40 | $5M | United States | LangChain | LangChain | AI Frameworks and Libraries | 2023 | n/a |
In 2023, CommandBar implemented LangChain, an AI Frameworks and Libraries solution, to instrument and monitor its Copilot in-product assistant for user support and in-app help. The deployment leveraged LangSmith, part of the LangChain stack, to centralize conversational observability and has been live in the US region since November 2023.
The implementation focused on LangSmith monitoring and debugging capabilities to capture conversation traces, structured logs of user and assistant exchanges, and error diagnostics. Functional capabilities implemented included observability across conversation flows, session-level trace capture for prompt and model behavior, and tooling to accelerate testing and debugging cycles.
Operational coverage oriented around product engineering and customer support workflows, with the LangChain deployment directly instrumenting the Copilot assistant used in in-app help. The US-region production instance provided centralized visibility into support-facing conversations and QA test runs.
Governance emphasized instrumented observability and a process for triage, with product and support teams consuming LangSmith outputs to prioritize fixes and iterate on prompts. CommandBar reported outcomes including a 44% decrease in support tickets and faster testing and debugging cycles.
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Hillstone Networks | Professional Services | 2000 | $290M | United States | LangChain | LangChain | AI Frameworks and Libraries | 2024 | n/a |
In 2024 Hillstone Networks implemented LangChain as an AI Frameworks and Libraries deployment to prototype a retrieval-augmented generation chatbot and a Django website. The work was delivered during a software engineer intern engagement at Hillstone Networks in Santa Clara, California, and focused on building conversational AI capabilities and a web front end for internal evaluation.
The implementation centered on LangChain as the orchestration layer, with a RAG pipeline constructed from embedding generation, document indexing, retriever selection, and chain orchestration to sequence retrieval and prompt execution. The project integrated LangChain chains with a Django application to expose the chatbot through UI and API endpoints, and used prompt templates, simple memory management, and modular chains consistent with AI Frameworks and Libraries functional patterns.
Operational architecture combined LangChain orchestration with a Django web front end hosted on site, and included data ingestion and vector index workflows to populate the retrieval layer. Governance remained within engineering during the internship, with code and deployment artifacts managed in developer repositories and aligned to software engineering workflows. No broader rollout details or quantified outcomes were specified.
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ServiceNow | Professional Services | 29187 | $13.3B | United States | LangChain | LangChain | AI Frameworks and Libraries | 2025 | n/a |
In 2025, ServiceNow implemented LangChain to prototype an intelligent multi-agent system focused on CRM and customer success functions. The work is scoped in the United States and is categorized under AI Frameworks and Libraries, targeting lead qualification, onboarding, adoption tracking and customer success workflows.
The LangChain deployment uses LangGraph for multi-agent orchestration to coordinate agent roles across qualification, onboarding and adoption scenarios. LangSmith is implemented for tracing and evaluation, supplying granular observability and custom evaluation metrics to assess agent decisions and model performance before production.
As of the vendor case study in November 2025 the project was in testing, with instrumentation and evaluation pipelines built into LangChain tooling to measure readiness for operational use. Operational coverage concentrates on CRM and customer success teams and is designed to influence downstream sales and customer success workflows as agents move from test to production.
Governance has been structured around trace-driven evaluation, with custom metrics defined in LangSmith used as gates for rollout and production readiness decisions. The implementation emphasizes orchestration, observability and evaluative controls within the LangChain environment to support staged rollout into sales and CS processes.
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Buyer Intent: Companies Evaluating LangChain
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD LangChain Coverage
LangChain is a AI Frameworks and Libraries solution from LangChain.
Companies worldwide use LangChain, from small firms to large enterprises across 21+ industries.
Organizations such as ServiceNow, AeroVironment, Hillstone Networks, CommandBar and Athena Intelligence are recorded users of
LangChain for AI Frameworks and Libraries.
Companies using LangChain are most concentrated in Professional Services and Aerospace and Defense, with adoption spanning over 21 industries.
Companies using LangChain are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of LangChain across Americas, EMEA, and APAC.
Companies using LangChain range from small businesses with 0-100 employees - 40%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 40%, and global enterprises with 10,000+ employees - 20%.
Customers of LangChain include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified LangChain customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Frameworks and Libraries.