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ScorableAI

Scorable provides an LLM evaluation platform that detects real-time AI failures and improvement opportunities using calibrated AI judges. The platform helps enterprises ensure AI responses are accurate, policy-compliant, and grounded before reaching users, with use cases spanning guardrails, response quality, regression testing, and live operations. It offers monitoring, custom evaluators, and collaboration features across free, developer, and enterprise tiers.

Helsinki, Finland · HQ
51K+ followers
Updated 4 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises deploying customer-facing AI agents face significant risks from hallucinations, policy violations, and unclear or inaccurate responses. Without robust evaluation mechanisms, these failures can lead to compliance incidents, brand damage, and poor user experiences, especially in high-stakes applications where accuracy and adherence to business rules are critical.

Solution

Scorable provides an LLM evaluation platform that detects real-time AI failures and improvement opportunities using calibrated AI judges. The platform measures AI responses across dimensions such as truthfulness, policy compliance, clarity, and specificity, flagging issues before they reach end users. It supports use cases including policy and compliance guardrails, response quality and accuracy assessment, regression testing, live operations monitoring, escalation workflows, and batch evaluations. The system enables teams to create custom evaluators or use pre-built root evaluators to continuously monitor and improve AI agent performance at scale.

Target Audience

Primary customers are enterprises and development teams deploying customer-facing AI agents in high-stakes environments, including those in regulated industries requiring strict policy compliance, safety, and brand consistency.

Features

  • Calibrated AI judges that score responses on truthfulness, policy compliance, clarity, and specificity
  • Real-time monitoring and detection of AI failures before responses reach users
  • Custom evaluators and pre-built root evaluators for tailored assessment criteria
  • Use case coverage including guardrails, quality, regression, live ops, escalation, approval, and batch evaluation
  • Collaboration features for team-based evaluation workflows
  • Custom model support and on-premise deployment option for enterprise customers
  • Integration with AWS Marketplace for streamlined procurement
This profile is AI-generated and may contain inaccuracies.