Infere Features - Prompt Management, Evaluators, Observability and Datasets
Built for engineering teams who treat prompts like code and demand enterprise-grade governance - automatic AI-powered model selection, cost optimization, and reliability at scale.
Four pillars, one gateway
Prompt Repositories version prompts, Evaluators score them, Datasets freeze examples, Observability watches live. One OpenAI-compatible API.
Prompt Repositories
Git-native PML files, branches, PRs, and git push deploy/* to edge. Library vs Repositories, playground, templates.
Evaluators
LLM, code, and deterministic judges. Runs with pass@k, failures clustering, regression gates, online evals.
Explore →Observability
Every request logged. Trace waterfalls, properties, cost/latency analytics, and saved filters.
Explore →Datasets
Data Hub sampling vs frozen evaluation versions. Import from prod, branch, dedup, export JSONL/CSV.
Explore →The loop
Traces save to datasets, datasets power evaluations, evaluations gate deployments, deployments emit traces.
Instrument once
Gateway logs every request — no SDK. Add X-Trace-Id and X-Property-* for slices.
Evaluate
Frozen datasets + trials + compare. Failures become evaluators; regression blocks bad deploys.
Deploy with confidence
PR review, status checks, and gated deploy/* push — edge KV in seconds.
See the platform in action
Schedule a personalized demo with our engineering team or create an account and start building free - add balance only when you are ready.