See agent mistakes before your users do
Score outputs, spot hallucinations, and follow each call. Future AGI runs beside your AI in production, catching model drift in an hour rather than a week.
Trusted by teams on
Three steps to AI quality in production
Add one SDK call, set your eval rules, and score every response in real time.
Instrument
Add SDK and trace calls in under 10 minutes
Define
Write criteria in plain English or choose built-ins
Monitor
Receive alerts as soon as production quality drops
What your AI pipeline needs for honest results
For engineering teams that need real signal beyond green dashboards.
Response grades
LLM-as-judge and rule scorers assess every response. Set pass/fail thresholds by use case.
Hallucination checks
Compare with ground truth and test factual consistency to flag made-up claims before users see them.
Drift alerts
Statistical baselines catch degradation when a provider silently updates a checkpoint.
Trace explorer
Replay any production call step by step, including every prompt, tool call, and token, to pinpoint an agent's wrong turn.
Dataset curation
Spot edge cases and regression candidates in production traffic, saving them as golden sets.
Native integrations
Supports LangChain, LlamaIndex, CrewAI, AutoGen, and direct SDKs. One wrapper for any stack.
Production teams see the difference
Internal beta with 8 early-access teams, Q1-Q2 2026.
After a prompt change, Future AGI caught a 12-point instruction-follow drop before any tickets arrived. That early warning was exactly what we lacked.
The trace explorer replaced three internal dashboards we maintained. Now everyone can replay a bad response without searching logs.
Our multi-agent workflows span five hops. Future AGI pinpoints the hop that caused the hallucination. No other tool offers that at this price point.
Begin free, grow as needed
No seat minimums. No unexpected overages. Pay for what you assess.
Ready to see what your AI really does?
Launch in under 15 minutes. No card required.