Lemma

Respan (formerly Keywords AI) gives teams a unified control plane to trace and evaluate agent behavior without guesswork, automatically surface issues, and fix what breaks faster. Respan connects production observability, automated and human-in-the-loop evaluations, and an adaptive AI gateway to close the loop between detection, decision, and action - so agents improve continuously in production. Respan is trusted by 100+ AI startups and enterprise teams. Today, the platform process 1B+ logs and

shared extracted concept terms: observability; shared product terms: observability, trace, surface, issue; same category: AI agents; shared affiliation: Y Combinator

Understand user patterns and find silent failures in your AI agents. The Context Company helps teams analyze AI agent conversations to surface user behavior patterns, performance trends, and moments where agents struggle - so teams know what’s working, what’s not, and what to improve next. We turn raw conversations into structured signals: topic clustering, user feedback analysis, custom pattern tracking, and alerts. All alongside traditional observability like traces, tool calls, latency, and c

shared product terms: silent, failure, observability, like; same category: AI agents; shared affiliation: Y Combinator

Monitor your AI agents the right way. AI engineers use Raindrop to get alerts about silent failures in their AI agents. Raindrop sends you alerts when your AI misbehaves and links straight to the events, so you can dig into the conversations or traces, understand the root cause, and fix it, fast.

shared product terms: silent, failure, trace, root; same category: AI agents; shared affiliation: Y Combinator

Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. Founded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders

shared product terms: time, fix, so, root; shared affiliation: Y Combinator

Roark helps teams test, monitor, and improve their voice agents. Voice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies). We close that gap by combining: 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), cu

shared product terms: failure, miss, but, improve; same category: AI agents; shared affiliation: Y Combinator

LLMs are incredibly powerful, but latency, cost, and unpredictable outputs have made productionizing LLM features challenging. Baserun is a testing and observability platform that helps AI teams streamline their development cycle from identifying an issue to evaluating their solution, so that teams ship faster with confidence.

shared product terms: but, observability, identify, issue; shared affiliation: Y Combinator