Crucible gives AI teams faithful SaaS sandboxes and full agent observability — so you know exactly what your agent will do before it touches real data.
Built by platform engineers who shipped Kafka infrastructure at scale and led enterprise AI deployment in production.
Crucible starts with the sandbox and builds up — each layer earns the right to exist by making the one below it more valuable.
Real-schema, real-behaviour emulators of HubSpot, Salesforce, Stripe, and 50+ tools. Agents run exactly as they would in production — without the blast radius. Shipped as MCP-native context packs so they drop into any agent stack.
Every call, decision branch, and failure instrumented, stored, and replayed. See what your agent actually does when left to operate freely — the debugger the agent era has been missing.
Usage patterns across every sandbox session reveal what agents reach for and what infrastructure is missing. The dataset that makes the next layer of the platform possible — and defensible.
We had to turn the agent off. It was doing things correctly — but to the wrong data, in a way we couldn't predict or roll back.
Engineering lead, AI-native SaaS startup — design conversation, 2025
Design partner cohort · now forming
We're working with a small cohort of AI-native teams deploying agents into RevOps, CS, support, and enterprise SaaS workflows. Design partners shape what we build — and get early access to every sandbox we ship. If your agent has surprised you in production, you're our ICP.