List of LangGraph Customers
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Since 2010, our global team of researchers has been studying LangGraph 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 LangGraph 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 LangGraph for AI Frameworks and Libraries include: Klarna Bank, a Sweden based Professional Services organisation with 4201 employees and revenues of $2.26 billion, Remote, a United States based Manufacturing organisation with 1800 employees and revenues of $230.0 million and many others.
Contact us if you need a completed and verified list of companies using LangGraph, 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 LangGraph 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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Klarna Bank | Professional Services | 4201 | $2.3B | Sweden | LangChain | LangGraph | AI Frameworks and Libraries | 2024 | n/a |
In 2024, Klarna Bank deployed an AI Assistant built on LangGraph in the AI Frameworks and Libraries category to automate customer support workflows across its global payments platform, and instrumented LangSmith for end to end observability. LangGraph was used as the central orchestration layer for conversational logic, intent routing, and retrieval augmented responses, with LangSmith capturing traces and performance telemetry for agent interactions.
The implementation concentrated on customer support and escalations across Klarna Bank's global region, delivering large scale automation for millions of users as reported by LangChain's case study. The project automated approximately 70% of repetitive tasks and reduced average query resolution time by about 80%, outcomes that were captured and validated through LangSmith observability data.
Functionally the deployment implemented conversational assistant workflows, automated escalation routing, knowledge retrieval and response generation, and rule based handoff to human agents where needed, consistent with capabilities typical of AI Frameworks and Libraries. Configuration emphasized prompt and context management, stateful dialogue orchestration within LangGraph, and observability hooks to monitor conversation flows, error rates, and escalation triggers.
Operational coverage included integration with Klarna Bank's global payments platform and customer support channels, and the rollout targeted customer support teams handling escalations and routine inquiries across regions. Governance relied on observability driven monitoring from LangSmith to iterate on prompts and routing rules, and operational processes were adjusted to incorporate automated resolution paths alongside supervised human oversight.
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Remote | Manufacturing | 1800 | $230M | United States | LangChain | LangGraph | AI Frameworks and Libraries | 2025 | n/a |
In 2025, Remote implemented LangGraph within its AI Frameworks and Libraries stack to build a Code Execution Agent that automates HR and payroll onboarding migrations. The LangGraph deployment pairs LLM-driven planning with sandboxed deterministic code execution, enabling LLMs to sequence migration steps while deterministic code executes transformations and enforces safety and repeatability.
Deployment targeted HR and onboarding workflows for Remote's global customer base, embedding the LangGraph Code Execution Agent into payroll and employee data migration pipelines to automate extraction, transformation, and provisioning tasks. Governance emphasized deterministic execution and auditability, with sandboxed execution paths and structured audit logs improving reliability and traceability, and the implementation turned processes that once took days into hours.
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Buyer Intent: Companies Evaluating LangGraph
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