Staging environments for AI agents
Catch what your agent gets wrongbefore it ships.
Feed in your traffic. Get a real, working copy of your system, automatically.
Plug in your traces. That's the entire setup.
Your data model, inferred automatically. No schema to write.
Real, compiled tools. No LLM at runtime.
Same eval, both agents. Differences flagged automatically.
The problem
Where does your eval actually run?
Your eval scores the reply. It still needs something real to run against, and today that's either production or a mock you hand-built and now have to maintain forever.
Production
One bad prompt swap and it approves a $1M invoice that should've been rejected.
10 of 10 tools, all live
Real customers. Real damage.
Hand-build mocks
Weeks to build, stale the moment your real system changes.
1 working, 2 half-built, 7 untouched
A month of your best engineer's time, wasted.
Emendra
The whole world your agent acted on, rebuilt from your own traffic. Fork it, run your eval again.
10 of 10 tools, fully working
The environment your eval was missing.
How it works
Real database. Real code. Synthetic world.
Builds tables for effects you never logged
If your traffic implies something happened, we create a table for it, so every side effect stays trackable.
observedsynthesized
One file holds your whole environment
Copy it instantly. Every test, every agent version, runs in its own isolated copy.
Generated code, not recorded answers
Every tool runs real logic over your database, so new questions get computed, not just looked up.
A complete world, not just your traffic
Traffic only shows what your agent touched. We fill in the rest, so even untested scenarios have real data to work with.
What you get
Not just wrong answers. Wrong behavior.
A bad reply, a write nobody asked for, a loop that burns tokens. Every difference surfaces, ranked by how much it actually matters.
customer asks for a refund
Never made it to production
- Dropped the production database
- Approved a $1M invoice
- Charged the same card three times
- Cancelled every active subscription
- Looped for 40 minutes on one ticket
- Refunded an order twice
- Emailed 12,000 customers by mistake
- Granted admin to a trial user
- Wiped a customer's order history
- Burned $2,400 of tokens overnight
- Closed 400 tickets without reading them
- Shipped to a deleted address
Your customers are not a test suite
Ship the change. Not the surprise.
Feed in your traffic and see what your new agent breaks, before it breaks it on someone real.