Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
A go-to-market platform powering outbound sales motions for startups and large enterprises, executing 300 million multi-step AI agent runs per month.
The diversity of free-form natural language inputs made production quality fundamentally unpredictable across different customer workspaces....
“LangSmith feels like a platform built by people who have actually built an agent framework. That really shines through in how it handles nested subagents and tool call paths.”
AI platform for automated lead enrichment and sales prospecting.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Agent interactions were a black box. Engineers now link live sessions to full execution traces, spotting root causes instantly.
Engineers traced alerts one by one. An agent now runs hundreds of parallel checks to pinpoint root causes.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
Rox's judge aligned only 75% with humans. A calibrated evaluator caught name errors in 11% of drafts, enabling 99% accuracy.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.