AI agents should graduate to production, not jump
We believe the path from prototype to production should be observable, repeatable, and safe. Real events from your support tools—not synthetic data—should power training and evaluation, so what you ship matches what users see.
Real events, real behavior
Capture events from Intercom and other sources into an immutable log. Replay them deterministically—instant, realtime, or accelerated—so you can debug, train, and validate agents against the same data that will hit them in production.
Warm up, then ship
We don't replace your agents; we give them a warmup layer. Test against real conversations, tune behavior, and gradually increase traffic. When you're ready, graduate to production with confidence.
Transparency and control
Encrypted tokens, tenant isolation, and audit trails. You own the connections and the data. We run the pipeline and the replay engine so you can focus on building agents that work.
Built for production
The event engine is built in Rust for throughput and reliability. The dashboard is Next.js with real-time timelines and OAuth integrations. From first webhook to first replay, the stack is built to scale with you.
"The best way to ship AI agents is to warm them up on real events—then graduate them, step by step."