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Measure everything your AI agent tells customers

Stop relying on manual vibe checks. Scorable replaces guesswork with automated AI-driven judges that monitor behavior in production and prevent harmful content before customers see them.

From the community

What teams run into

Vibe checks are biased and slow.

You rely on experts to review every output by hand. This doesn’t scale.

Debugging agents stopped being fun.

You’re stuck chasing regressions instead of shipping improvements.

Everyone now a data scientist?

You waste time building eval pipelines instead of shipping.

Outcomes that compound over time

  • Get visibility and insights on the behavior of your AI agent.
  • Customize the automated evaluations in minutes for quick wins.
  • Align automatic evaluations with your business KPIs over time.

Quickly improve your agents to match your business needs. Prevent hallucinations and unwanted behaviors.

The steps to take control back

Step 1

Build custom AI judges in minutes for your customer interactions.

Produce strong signals for compliance, hallucination detection, relevance - and custom agent failure modes.

Step 2

Embed the judges into your code to monitor AI in production.

Evaluate AI performance in real time, immediately identify issues that impact product quality.

Step 3

Detect and correct errors. Humans flag subtle cases.

Reduce 90% of manual work - Only alert the human expert when necessary.


Evaluate every AI response

Our specialized Judges sit between your AI and your user, scoring every interaction against your specific policies.

INPUT

"Summarize the Q3 report."

CONTEXT

Q3 report states: Revenue remained flat at $2.1M. No new products were launched during Q3.

OUTPUT

from your agent
"Revenue grew by 20% due to the new product launch."

Scorable evaluation layer

JUDGE VERDICT

{
  "score": 0.2,
  "justification": "Statement not found in source text. Source says revenue was flat."
}
Docs

Python

JavaScript/TypeScript:

How It Works

  1. Your application sends requests to our proxy URL instead of OpenAI's
  2. Your tailored judge improves the response automatically based on it's feedback

Start by creating a judge by describing what you want to measure


Know what to fix, instantly.

Scorable analyzes your evaluation results and surfaces actionable insights — delivered to your dashboard or Slack.

INSIGHTS 11/01/2026 — 18/01/2026

Wins
  • •Overall quality improved vs. the previous period: average score increased ~18.9% to 0.777.
  • •Clear high performers: "Email Response Judge" (avg ≈ 0.858), "Product Recommendations Judge" (avg ≈ 0.826).
  • •Release v1.2 showing consistent quality improvements across all judges.
Issues
  • •"Returns Policy Judge" (avg ≈ 0.496) — likely impacting customer experience in refund flows.
  • •"Appointment Scheduling Judge" (avg ≈ 0.651) (staging environment) with high volume — needs attention before scaling.

Enterprise-Grade Sovereignty

SOC 2 Type IIGDPR CompliantDeploy AnywhereModel Agnostic