What BentoLabs AI does
BentoLabs AI builds Bento, a monitoring and learning layer for long-running AI agents in production. It addresses the problem that agents are easy to build but hard to trust once deployed, since prompt changes, model swaps and new tools can introduce silent regressions that reach production undetected.
Key capabilities
Bento lets teams describe failure modes in plain English and trains regression signals on production traces, backfilling historical data to show how long an issue has existed. It captures OpenTelemetry-native traces across frameworks, letting users jump from a signal alert to the problematic function call, and supports natural-language alert rules grouped into incidents to separate genuine drift from benign variation. It also detects behavioral drift over time and includes improvement tools such as versioning, evaluations, reusable artifacts and a documented memory of learned patterns and fixes.
Who it's for
Bento serves teams deploying AI agents at scale who need systematic quality assurance and continuous improvement. It is backed by Y Combinator.