---
title: "Evaluate | Inference.net"
description: "Eval on real traffic. Ship with confidence. Inference.net Evaluate tells you how models perform in production, not just in a lab."
url: "https://inference.net/products/evaluate/"
---

# Eval on real traffic. Ship with confidence.

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.

[Talk to an Engineer](https://inference.net/meet-with-us/) [Get Started](https://inference.net/register/)

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.

[Get Started](https://inference.net/register/)

#### 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.

[Get Started](https://inference.net/register/)

#### 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.

[Talk to an Engineer](https://inference.net/meet-with-us/) [Get Started](https://inference.net/register/)