About
What is EvalsHub?
EvalsHub is an AI quality assurance platform designed to help AI developers, MLOps engineers, and product teams ship AI models with confidence. It automates the evaluation, monitoring, and improvement of large language model (LLM) performance in production environments. Key features include an 'LLM-as-a-judge' system for automatically catching regressions, comparing models, and defining natural language rubrics for strict evaluation. EvalsHub also provides global AI insights, monitoring model drift and performance in real-time. Crucially, it includes an ATTACK System for automated adversarial testing, exposing vulnerabilities like prompt injections and jailbreaks before they impact reputation, ensuring models are reliable, accurate, and safe. It integrates into existing workflows via a lightweight SDK and offers CI/CD integration to block bad PRs.
Best used for
Ideal for developers, data scientists, and product managers who need to ensure the quality, reliability, and safety of their LLM applications, automatically catch regressions, and compare model performance. Especially valuable for integrating AI quality checks directly into CI/CD pipelines and performing automated adversarial testing.
Common actions
AI testingAI safetyAI quality assuranceadversarial testingMLOpsprompt injectionmodel driftmodel monitoringmachine learningLLM evaluation
Capabilities
Key features
- LLM-as-a-judge evaluation
- Automated adversarial testing
- CI/CD integration
- ROI dashboards
- Multi-judge voting
- Prompt version tracking
- Real-time evaluation
Target Audience
developerdata scientistproduct managerstartup founder
Integrations
Not yet documentedPricing & Plans
Freemium · Paid · Enterprise
FAQs
Do I need to change my prompt engineering workflow to use EvalsHub?
Not at all. EvalsHub integrates with your existing codebase via a lightweight SDK. You can continue writing prompts in your own repository and simply send the inputs/outputs to EvalsHub for scoring and tracking without altering your current workflow.
How reliable are LLMs at judging other LLMs?
With properly constrained rubrics and few-shot examples, LLM-as-a-judge approaches can achieve over 90% agreement with human expert annotators. EvalsHub provides tools to refine your rubrics until the judge is deterministic and reliable for your specific use cases.
Can I use my own models for evaluation?
Yes, while EvalsHub provides built-in high-quality judges, you can configure the platform to use your own custom models (OpenAI, Anthropic, or open-source) to perform evaluations. This gives you full control over cost and privacy for your specific needs.
What counts as a trace span in EvalsHub pricing?
A trace span represents a single LLM call or operation that is captured and sent to EvalsHub for monitoring and evaluation. Pricing tiers are based on the number of trace spans processed per month, with higher tiers offering more capacity.
Is my data secure with EvalsHub?
Security is a top priority. EvalsHub does not use your data or prompts to train its own models. Enterprise plans include options for zero-retention logging and VPC deployments, ensuring data never leaves your infrastructure.
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