scorable.ai

What It Is

Scorable is a SaaS platform operated by Root Signals, positioned as a tool to “Measure Your AI-Powered Applications.” Its core focus is LLM evaluation and quality monitoring for AI applications. It offers Custom Evaluators, Root Evaluators, and Monitoring, while higher-tier plans add collaboration, custom models, and enterprise management capabilities. It is best suited for teams that need a systematic way to evaluate generative AI outputs.

Core Capabilities and Use Cases

Based on the available materials, Scorable focuses on evaluation rather than model generation itself. Its support for custom evaluators suggests that users can build evaluation logic around their own business criteria. The “Book a Demo” page mentions that it can handle complex and nuanced LLM evaluation scenarios. Typical use cases include pre-launch quality validation for AI applications, post-launch output monitoring, collaborative evaluation across teams, and continuous evaluation of internal enterprise models or applications. However, the public materials do not disclose specific evaluation algorithms, built-in metrics, supported foundation models, or API integration methods, so technical transparency remains limited.

Pricing and Free Quota

The Free plan is $0/month, includes 1 seat, 100 evaluations per day, and 6 months of data retention, making it suitable for individual developers or small teams trying the product. The Developer plan costs $19/month/seat, supports up to 5 seats, includes 5,000 evaluations per month, charges overages at $20 per 5,000 evaluations, and adds collaboration features and custom models. The Scale plan is quote-based and aimed at enterprises, offering unlimited seats, 100,000+ evaluations/month, on-prem deployment, SLA, Slack support, SAML/Okta SSO, RBAC, and unlimited data retention. The pricing is friendly for early-stage trials, but teams with moderate usage should pay close attention to evaluation-volume costs.

Data Privacy and Enterprise Features

The terms define GDPR roles fairly clearly: the customer is the controller, while Root Signals is the processor. Processed data includes usernames, email addresses, user input data, and usage metadata. The platform commits to processing data only for the purposes set out in the agreement; after termination, personal data can be deleted or returned at the customer’s choice, and audits are permitted with prior notice. Customer data and derivative works belong to the customer. The enterprise plan also provides on-prem deployment, SSO, RBAC, and SLA, making it suitable for organizations with stricter compliance requirements.

Pros, Cons, and Who It’s For

Its strengths include a clearly defined free quota, flexible custom evaluators, fairly complete enterprise governance features, and support for purchasing via AWS Marketplace. The downsides are that public information is limited regarding model compatibility, API documentation, Chinese-language support, and case studies demonstrating evaluation effectiveness. The terms of service also state that the service is not guaranteed to be uninterrupted, error-free, or accurate. Scorable is best suited for development teams and enterprises building LLM applications that need continuous quality evaluation and compliant procurement workflows.

Access from China and Alternatives

The available materials do not provide information about access from mainland China, RMB payments, Alipay/WeChat Pay, or local cloud deployment, so accessibility from China is unknown. If using the overseas SaaS version in practice, users may still need to evaluate network connectivity, cross-border data transfer requirements, and payment workflows. Comparable LLM observability and evaluation tools include LangSmith, Langfuse, Helicone, Braintrust, and Weights & Biases Weave.