Eval on real traffic. Ship with confidence.

Name: Inference.net Evaluate
Brand: Inference.net

Synthetic benchmarks tell you how a model performs in a lab. Inference.net Evaluate tells you how it performs in production—continuously, automatically, on the data that actually matters.

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Trusted by the world's best engineering teams.

Make model decisions
based on evidence, not vibes.

Turn production traces into continuous evaluation workflows. Measure behavior against your standards, detect regressions early, and know exactly what to improve.

Build Evals from Real Traffic

Production traces become eval datasets automatically. Real inputs and outputs your model handles every day—not synthetic data or hand-curated sets from six months ago.

Score Quality Continuously

Automated scoring, task-specific checks, and human review where it matters. Run evals on every deploy, every hour, or every request—your cadence, your criteria.

Gate Releases on Real Performance

Set quality thresholds and detect regressions before they reach users. Block bad deploys automatically—no more 'we'll monitor it after launch.'

“Our custom model is more accurate, more affordable, and cut request latency by more than 50%. The whole experience was a breeze, and the inference.net team was great to work with.”

Henry Langmack

Co-founder, CTO @ Cal AI

Capabilities

Quality you can measure,
decisions you can defend.

Clear baselines, consistent reruns, and reporting that turns data into concrete model decisions.

Custom Benchmark Suites

Define tasks, expected outputs, and grading criteria that map to your product outcomes.

Automated Regression Testing

Re-run benchmarks on every model or prompt change, with alerts when quality drifts.

Production Traffic Sampling

Evaluate real prompts and real behavior safely, with configurable sampling and redaction.

Latency & Performance

Separate model time from orchestration overhead so you can optimize the right bottleneck.

Cost Attribution

Break down spend by model, endpoint, customer segment, or workflow.

Flywheel to Training

Eval failures route directly into training workflows. The patterns your model gets wrong today become the data it trains on tomorrow.

Security

Enterprise security, built in.

SOC 2 compliant with encryption at every layer, automatic secret stripping, and full control over data retention.

SOC 2 Type II Compliant

Audited controls across the stack. Meet your security team's requirements without a months-long vendor review.

Secrets Never Logged

API keys, tokens, and credentials are detected and excluded from all traces and logs. No configuration required.

Encryption in Transit & at Rest

Every request is encrypted end-to-end. Data at rest is encrypted with modern standards so production traffic is never a liability.

Full Data Retention Controls

Set retention policies that match your compliance requirements—or turn off data retention entirely. Your data, your rules.

Stop guessing. Start measuring.

Get a baseline quality report in minutes—connect your endpoint and Evaluate benchmarks quality, latency, and cost on real traffic continuously.

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