01Production trace
“Customer uploaded damaged-item photos and needs a refund exception.”
support · productionHuman feedback
Offline eval automation
Outsource your evals.
Kanonas automates offline evals on the traces you already have, layers thumbs-up and thumbs-down feedback on top, and ships heuristic-based routing that optimizes quality and cost for your use case.
Built forOffline eval runsTrace thumbsHeuristic routingQuality and cost tuning
Nightly evaluation42 production traces
02Offline eval
Policy edge caseEscalation required
03Heuristic route
Routine requestsFast model
Policy edge casesStrong model
What actually matters
Automate offline evals first. Ship heuristic routing second.
That is how Kanonas improves AI systems in practice: learn from real traces, preserve human feedback, and only then push routing logic that moves your own quality and cost boundary.
Automate offline evals
Replay real traces through repeatable eval runs instead of stitching together one-off spreadsheets and samples.
Capture thumbs on traces
Keep human thumbs-up and thumbs-down feedback attached to the exact traces that inform your next routing decision.
Ship heuristic routing
Promote clear rules that escalate hard work to stronger models and keep routine work on cheaper routes.
Optimize quality and cost
Tune against the tradeoff that matters for your use case instead of settling for a generic provider benchmark.
How it works
We automate offline evals and then support heuristic routing.
The goal is not generic compatibility theater. The goal is better outcomes for your workflow, with the trace evidence to explain why a routing change should exist.
Collect the traces that matter
Pull in production requests, outcomes, and model choices so your eval set looks like the work your users actually create.
Replay them through offline evals
Combine judge outputs with human thumbs to score winners, failures, escalation risk, and regression hotspots.
Promote the routing policy
Ship heuristics only after the trace evidence says they improve both quality and spend for your specific workflow.
What ships
A routing policy tuned to your traces.
Use cheaper models when they win, escalate when they do not, and keep the logic legible enough for humans to review.
Heuristics promoted6 rules
Nightly eval cadence24 hours
Human feedback loopThumbs on every trace
Inside the product
The product surfaces revolve around eval operations.
Traces, evaluators, and rollout tooling all exist to support the same loop: inspect failures, score alternatives, and ship smarter routing with confidence.
Traces
Review real requests, inspect outcomes, and leave thumbs-up or thumbs-down exactly where failures happen.
Open tracesEvaluators
Configure offline evals, inspect heuristics, and compare routing candidates before anything ships.
Open evaluatorsDocumentation
Wire Kanonas into production when you are ready to turn eval insights into live routing behavior.
Open documentationConsole
Create access keys, run quick checks, and get the integration details needed to move from analysis to rollout.
Open consoleEvery routing decision stays attached to the trace that earned it.
Human feedback, evaluator outputs, model choice, and cost deltas live in one review loop so teams can explain why a heuristic was promoted instead of guessing after the fact.
Human thumbsJudge outputsRoute deltas