Moda

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The monitoring layer your AI agents need.

Winter 2026Founded 20252 peopleSan Francisco, CA, USA

moda.dev ↗LinkedIn ↗X ↗

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AI insightcan contain mistakes

Agent Reliability & MonitoringSaaSAI teams, agent developers, companies deploying agentsMedium competition

Moat

Proprietary agent hallucination and failure pattern detection; user frustration signals; retention/churn metrics.

Key risk

Cloud providers (AWS, GCP) may add agent monitoring; commoditization risk; customer concentration in early-stage agents.

Why now

Agent deployments failing in production; need for agent-specific observability urgent; user trust and retention critical.

Competitors

Datadog, Sentry, New Relic, Vercel Analytics, Anthropic Console

About

Moda is the reliability & monitoring layer for agents. It surfaces patterns across agent hallucinations, laziness, forgetfulness, and tool call failures. While also providing analytics on user frustration, net promoter score, retention, and churn rates. In the next 10 years, with more AI agents spawning and trying to get PMF, developing an agent that actually works for users is critical. Everyone has access to the same models, thus the ones that win on a product level will be the ones who learn fastest from real usage. Moda is that learning layer.