Manually tuning prompts in secure environments was slow and inaccurate. Now, automated feedback loops let engineers refine AI instantly.
An enterprise software company building autonomous agents for complex development tasks across large organizations with strict data control and privacy requirements.
Deploying into highly secure customer environments meant traditional observability tools were blocked by tight data controls. Without centralized...
“Our collaboration with LangChain has been critical to successfully deploying enterprise LLM-based systems. We are significantly more confident in our decision making and operational capabilities thanks to the observability and orchestration-layer tooling that we get from the LangChain team.”
AI software development agents for automating engineering workflows.
Framework and developer platform for building LLM-powered applications.
Factory's Performance monitoring is part of this use case:
Related implementations across industries and use cases
Untangling 30-call AI interactions consumed developers. Now, support teams use system traces to resolve context issues without engineers.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Manually tuning prompts in secure environments was slow and inaccurate. Now, automated feedback loops let engineers refine AI instantly.
An enterprise software company building autonomous agents for complex development tasks across large organizations with strict data control and privacy requirements.
Deploying into highly secure customer environments meant traditional observability tools were blocked by tight data controls. Without centralized...
“Our collaboration with LangChain has been critical to successfully deploying enterprise LLM-based systems. We are significantly more confident in our decision making and operational capabilities thanks to the observability and orchestration-layer tooling that we get from the LangChain team.”
AI software development agents for automating engineering workflows.
Framework and developer platform for building LLM-powered applications.
Factory's Performance monitoring is part of this use case:
Related implementations across industries and use cases
Untangling 30-call AI interactions consumed developers. Now, support teams use system traces to resolve context issues without engineers.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.