Engineers traced alerts one by one. An agent now runs hundreds of parallel checks to pinpoint root causes.
A leading enterprise data observability platform monitors data reliability for large organizations where downtime can cost millions of dollars in lost revenue.
Data engineers spent countless hours manually troubleshooting alerts, forced to follow single investigation paths sequentially through complex...
“LangSmith was a natural choice as we started building our agent in LangGraph. We wanted LangSmith to visualize what we were developing for our graph-based workflows.”
Data observability platform for data reliability and quality management.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Developers spent 10+ hours a week testing and documenting APIs. Now, an AI assistant automatically writes tests and updates specs.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Engineers traced alerts one by one. An agent now runs hundreds of parallel checks to pinpoint root causes.
A leading enterprise data observability platform monitors data reliability for large organizations where downtime can cost millions of dollars in lost revenue.
Data engineers spent countless hours manually troubleshooting alerts, forced to follow single investigation paths sequentially through complex...
“LangSmith was a natural choice as we started building our agent in LangGraph. We wanted LangSmith to visualize what we were developing for our graph-based workflows.”
Data observability platform for data reliability and quality management.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Developers spent 10+ hours a week testing and documenting APIs. Now, an AI assistant automatically writes tests and updates specs.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.