EvalsHub

The product is an AI quality assurance platform that automates evaluation of generative AI outputs using LLM-as-a-judge with custom rubrics to catch regressions, compare models, and detect safety issues such as hallucinations, prompt injections and jailbreaks. It is for developers, data teams and product teams in businesses building and shipping AI applications. It is delivered as a SaaS platform with lightweight SDKs and CI/CD integration that applies systematic testing, version tracking and repeatable scoring to AI development.

Key features

• LLM-as-a-judge scoring
• Custom natural language rubrics
• Weighted quality scoring
• Multi-judge voting consensus
• Automated regression detection
• Model comparison and drift monitoring
• Adversarial testing for prompt injection
• Jailbreak attempt detection
• Safety violation and PII filtering
• CI/CD pipeline integration
• SDKs for Python TypeScript Go
• Prompt version tracking
• ROI and accuracy dashboards
• Interactive playgrounds for prompts
• Datasets and experiments management
• Review with AI-assisted axial coding