AI Infrastructure Platform

The AI infrastructure built for agentic AI

LangSmith is the complete AI infrastructure platform for teams shipping AI agents to production. Monitor your AI systems, evaluate quality at scale, and deploy with confidence.

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LangSmith dashboard showing AI infrastructure monitoring metrics

LangSmith AI Infrastructure Platform

Building AI infrastructure is hard because you can't plan for every input, and AI models decide every output on the fly at runtime.

Traces - not code - provide the only record of what your AI agents did and why. LangSmith turns your AI infrastructure trace data into fuel for continuous improvement.

LangSmith AI infrastructure platform diagram showing the Observe, Evaluate, and Deploy workflow

LangSmith powers AI infrastructure at scale, from AI-native startups to global enterprises

Zip
Writer
Harvey
Vanta
Abridge
Clay
Rippling
Mercor
Listen Labs
dbt Labs
Klarna
Headspace
Lyft
Coinbase
Rakuten
LinkedIn
Elastic
Workday
Monday.com

The AI Infrastructure Platform Teams Trust

Over 100,000 organizations rely on LangSmith as their AI infrastructure platform to build, monitor, and ship production-ready AI systems

50M+
LLM Calls Traced
1B+
Events Ingested per Day
100K+
Monthly active orgs in LangSmith SaaS

LangSmith AI Infrastructure Platform

Everything your team needs to monitor, evaluate, and scale AI infrastructure in production

AI infrastructure generates complex, opaque outputs that make debugging hard. LangSmith tracing gives you full visibility across your entire AI stack, so you can monitor performance, catch regressions, and explain what your AI systems are actually doing.

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LangSmith Observability interface showing trace details

Built for Enterprise

AI infrastructure security your team will approve

LangSmith meets the demanding security, compliance, and data governance requirements of enterprises running AI infrastructure at scale.

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AI infrastructure access controls

Role-based access control with org-level permissions and project isolation to meet your AI infrastructure security and compliance requirements.

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SOC 2 Type II

Third-party security certification with comprehensive security controls.

Trust center
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Self-hosted AI infrastructure

Self-hosting options to keep your AI training data and inference outputs fully within your own infrastructure and meet strict compliance requirements.

Why top AI engineering teams choose LangSmith for their AI infrastructure

Full-stack AI infrastructure

Go from first prototype to production in a single AI infrastructure platform. Build, debug, evaluate, and monitor without stitching together multiple tools.

AI infrastructure monitoring built in

Catch AI infrastructure issues before they reach users. Run offline evaluations on datasets and real-time online evals to keep your AI systems reliable.

AI-native infrastructure, no lock-in

Your AI infrastructure should not force framework decisions. LangSmith integrates with any open-source framework, custom agent code, or existing ML infrastructure.

Customers

Elastic

"Working with LangSmith on the Elastic AI Assistant had a significant positive impact on the overall pace and quality of our development and shipping experience. We couldn't have delivered the product experience our customers now have without LangSmith—and we couldn't have done it at the same pace without it."

James Spiteri, Director of Security Product Management at Elastic

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Rakuten

"What we really needed was a more structured way to test new approaches, something better than just shipping and seeing what happened. LangSmith gave us a more scientific, structured way to understand what was actually working, whether that meant running pairwise evaluations or digging into why accuracy jumped from 70% to 80%. Our engineers especially love the intuitive debugging experience, it's saved us a lot of time."

Yusuke Kaji, General Manager of AI for Business Development at Rakuten

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See the AI Infrastructure Platform in Action

Get a personalized demo of LangSmith and see how our AI infrastructure platform helps your team monitor, optimize, and scale AI agents in production.