Pain: Your AI is one bad response away from a compliance incident.
Ensure AI responses stay within your business rules, legal constraints, safety requirements, and brand guidelines.
Pain: You don't know if your AI is actually helpful until a customer complains.
Measure whether AI responses are accurate, complete, clear, and genuinely useful — before they reach your users.
Pain: Every model update is a gamble — you never know what silently broke.
Catch quality regressions and behavioral changes automatically when you swap models, update prompts, or release new versions.
Pain: Your AI drifts in production and nobody notices until it's too late.
Continuously evaluate real user interactions in production to catch quality degradation, hallucinations, and policy drift as they happen.
Pain: Your AI tries to handle situations it should never touch.
Identify when AI responses should be escalated to a human agent — based on frustration, complexity, sensitivity, or safety risk.
Pain: Agents act first and ask for forgiveness later.
Evaluate what an agent is about to do, not just what it says. Prevent wrong actions before they cause real impact.
Pain: You're making decisions about AI quality without any baseline data.
Analyze past AI interactions in bulk to establish a baseline and find recurring problems before making changes.
Create AI judge for Policy and compliance guardrails ↓
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.
Quickly improve your agents to match your business needs. Prevent hallucinations and unwanted behaviors.
Build custom AI judges in minutes for your customer interactions.
Produce strong signals for compliance, hallucination detection, relevance - and custom agent failure modes.
Embed the judges into your code to monitor AI in production.
Evaluate AI performance in real time, immediately identify issues that impact product quality.
Detect and correct errors. Humans flag subtle cases.
Reduce 90% of manual work - Only alert the human expert when necessary.
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."
}Scorable analyzes your evaluation results and surfaces actionable insights — delivered to your dashboard or Slack.
INSIGHTS 27/02/2026 — 06/03/2026