A platform for testing the safety of Large Language Models. Alethia uses a multi-judge evaluation system where multiple AI models assess whether responses to potentially harmful prompts are safe or unsafe.
Alethia AI provides a comprehensive suite of tools for evaluating LLM safety through multi-judge consensus, real-time testing, and detailed analytics.
Multiple AI judges evaluate responses with consensus-based decisions for reliable safety assessment. Configure at least 3 judge models from different providers for diverse perspectives.
Execute tests with live progress tracking and view results as they complete. Run tests immediately, schedule them for later, or set up recurring evaluations.
Central hub for managing test prompts with hierarchical organization. Includes a default library with 18 categories and 131 subcategories covering all major LLM safety domains.
Choose from Majority (2/3), Unanimous (3/3), or Weighted by Confidence voting. Each method provides different levels of strictness for safety evaluation.
Human In The Loop (HITL) feature enables human reviewers to override AI verdicts with mandatory reasoning, supporting EU AI Act compliance requirements.
Configure any LLM provider with custom API endpoints. Supports OpenAI Compatible, Anthropic Compatible, or fully Custom Format configurations.
Explore the core screens that power your LLM safety testing workflow.
Get a bird's-eye view of your AI safety posture. Track pass rates, test volumes, and safety trends across all your models at a glance. Instantly spot which categories need attention with visual breakdowns of safe vs. unsafe responses.
Connect any LLM provider in minutes. Configure your model under test alongside multiple independent judge models from OpenAI, Anthropic, Google, Mistral, DeepSeek, or your own custom endpoints. Fine-tune parameters like temperature and token limits for precise testing.
Start testing immediately with 18 built-in safety categories and 131 subcategories covering harmful content, bias, privacy, misinformation, and more. Import your own prompts in bulk, organize by severity, and build targeted test suites for your specific compliance needs.
Every test produces a transparent, auditable verdict. See how each judge model voted, review criteria-level scores, and understand exactly why a response was flagged as safe or unsafe. Built-in Human-in-the-Loop lets you override AI decisions with full audit trails.