Autoblocks

Autoblocks is an AI evaluation platform that enables product teams to collaborate on testing and iterating their AI-powered products. The platform offers a wide range of features to support the full development workflow, from testing and monitoring to debugging and analytics.

Autoblocks includes several key features to accelerate the AI product development workflow:

• Testing and Evaluation: Supercharge local testing and experimentation to get the best possible results.
• Monitoring and Guardrails: Set up online evaluations and guardrails to ensure a safe and trustworthy user experience.
• Debugging: Pinpoint the root cause of bugs and quickly prototype fixes.
• AI Product Analytics: Connect AI product state to user outcomes to proactively identify opportunities for improvement.
• Prompt Management: Collaborate on prompts while maintaining code integrity.
• RAG and Context Engineering: Optimize context pipelines for high-quality and relevant results.

Autoblocks is designed to work with any codebase or tech stack, so teams can keep full control over their AI systems without introducing new dependencies. This flexibility means Autoblocks can integrate with popular tools like LangChain, LlamaIndex, OpenAI, Anthropic, and Hugging Face.

Autoblocks is built for collaborative development, enabling product managers and developers to quickly iterate on AI products. The platform is designed to scale securely and meet demanding privacy and security requirements, making it suitable for a broad range of use cases, including consumer, enterprise, and healthcare.

Autoblocks offers flexible pricing options:

• Team: $200 per month, including 2 seats (additional seats $100/mo), 1 config, 1 test suite, 100 test cases, and 1000 weekly evaluations.
• Enterprise: Custom pricing with unlimited test suites, cases, and online evaluations, as well as dedicated compute and support.

Autoblocks is designed for teams looking to accelerate their AI product development. It provides a powerful solution for testing, debugging, and monitoring AI products, so you can deliver a better and more differentiated user experience.

Published on June 14, 2024