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.
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Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Manual prompt tuning couldn't keep pace. Automated feedback loops now refine models using real-time user comments.
Engineers manually traced 30 LLM calls per chat. Support staff now tune behavior directly, cutting engineering intervention 90%.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.