Root Signals

Scorable (formerly Root Signals) is an AI quality assurance tool that helps measure and improve AI-powered applications. It allows users to create custom AI judges, run experiments, and monitor LLM applications in production.

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At a glance

Pricing

Freemium · Paid · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Root Signals?

Scorable, formerly known as Root Signals, is an AI quality assurance platform designed to help developers and product managers measure and improve their AI-powered applications. It enables users to create custom AI judges in minutes to evaluate LLM outputs, identifying issues like hallucinations, policy violations, and ambiguity. The platform replaces manual checks with automated, calibrated judges, ensuring consistent and reproducible scoring. Scorable integrates seamlessly into existing AI pipelines, allowing for continuous monitoring of AI quality from testing to production. It provides plain-language justifications for scores, helping users understand and address issues efficiently. Key features include guardrailing chatbots, production monitoring with alerts, CI test suite integration, and offline analysis capabilities.

Best used for

Ideal for product managers who need to ensure the reliability of AI applications, prevent hallucinations, and continuously monitor LLM performance in production. Especially valuable for integrating AI quality checks into CI/CD pipelines and understanding AI behavior with clear, actionable scores.

Common actions

evaluate AI performance

monitor LLM applications

improve AI quality

test AI models

Capabilities

Key features

Custom AI judges
Automated LLM evaluation
Production monitoring
CI test suite
Offline analysis pipeline
Calibrated scoring

Target Audience

product manager

Integrations

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Pricing & Plans

Freemium · Paid · Enterprise

Not publicly disclosed. Check rootsignals.ai for current pricing.

FAQs

What is the difference between Root Signals and Scorable?

Root Signals has been rebranded as Scorable. The platform continues to offer the same core functionality for measuring and improving AI-powered applications, including custom AI judges and LLM monitoring, under the new name Scorable.

How does Scorable ensure the reliability of its AI judges?

Scorable calibrates every evaluator against a labeled dataset before production use, providing upfront accuracy metrics. It also minimizes scoring variance compared to raw LLM judges, ensuring consistent and reproducible results for reliable evaluation.

What are the limitations of the free plan?

The free plan includes 1 seat, custom and root evaluators, monitoring, and 100 evaluations per day. Data retention is limited to 6 months, and support is provided via Intercom. It's a good starting point for individual users.

Can Scorable integrate with my existing LLM application?

Yes, Scorable is designed for easy integration. It works with any LLM or framework and can be added to your AI pipeline with a single function call. It supports agents in TypeScript, Python, Proxy, CLI, and cURL.

Does Scorable offer enterprise-level features?

The Scale plan, designed for enterprise, offers unlimited seats, 100,000+ evaluations/month, collaboration features, custom models, on-premise options, SLA support, Slack support, SAML/Okta SSO, and RBAC, with unlimited data retention.

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