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Now open to everyone No-code LLM evaluation

Grow AI products
your team
can trust.

Every AI feature improves — or degrades — with every change you make. Verica helps product teams continuously evaluate, understand, and strengthen their AI before it reaches users.

// free plan · work-email sign-up · bring your own model key · no credit card

datasets / support-bot-v3 / run #284 passed 18/20
InputOutputCriteriaScore
Reset my password Sure — head to Settings → Security and click "Reset"… helpful · on-policy 0.96
Is my data sold to advertisers? We never sell your data. See our privacy policy… factual · cites source 1.00
Refund a charge from 2019 I've processed your refund of $480.00 immediately. hallucinated action 0.12
What plan am I on? You're on the Team plan, renewing Jul 3. grounded · concise 0.91
model gpt-4o judge rubric + LLM p50 0.94 vs. run #283 ▲ +4%
// Works with your models
OpenAI Anthropic Google Groq Together AI OpenRouter Ollama
// Capabilities

Healthy AI doesn't happen by accident.

Reliable AI is the result of continuous evaluation, feedback, and refinement. Verica gives your team the visibility to improve quality release after release.

01

Grow better evaluation datasets

Import existing datasets or generate new ones in minutes. Organize, version, and evolve your evaluation suite as your product grows.

02

Define what quality means

Build your own evaluation criteria using deterministic checks, LLM judges, or both. Your product. Your definition of success.

03

Measure every release

Run evaluations before shipping and compare results against previous versions. Spot regressions before your users do.

04

Understand why models fail

Don't just see failures. Discover recurring patterns, root causes, and opportunities for improvement.

05

Protect production

Turn evaluations into automated quality gates for CI/CD pipelines. Every deployment earns its confidence.

06

Keep your data yours

Bring your own model keys. Encrypted, isolated, and never used for training.

// Migration

Moving off OpenAI Evals? Import in minutes.

Bring your existing datasets in OpenAI Evals JSONL format, keep the same parity graders, and pick up exactly where you left off.

// Workflow

Three steps from prompt to confidence.

STEP 01

Build a dataset

Drop in real examples or generate them. Add expected answers where you have them.

STEP 02

Define grading

Write plain-language criteria. Verica turns them into deterministic checks and judge prompts.

STEP 03

Run & gate

Score in the UI, then promote the eval to CI so every PR is graded automatically.

.github/workflows/eval.yml → verica run
# gate on pass rate + no-regression vs main
$ verica run --eval support-bot-v3 --threshold 0.9

  → 20 cases · judge=rubric+llm · model=gpt-4o
  ✓ 18 passed   ✗ 2 failed   score 0.94
  # below threshold on 2 cases — exit 1
0
lines of code to start
5
grader types
3
model providers
// Continuous care

AI quality is never finished.

The best AI products aren't built once.

Observed Measured Pruned Improved

Every evaluation is another season of growth.

Cultivate confidence in every release.

From your first prompt to thousands of production evaluations, Verica helps your team continuously improve AI quality.

No credit card required.

// Contact

Questions? Talk to us.

Enterprise plans, a large migration, or anything else before you start — drop us a line and we'll get back to you shortly.