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Key Features

Autoblocks empowers AI product teams to prototype, test, and launch reliable AI applications and agents quickly and confidently. Designed for high-stakes industries, Autoblocks ensures your AI models are robust, compliant, and aligned with real-world business outcomes.

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Dynamic Test Case Generation

Automatically generate test cases from real user inputs, efficiently capturing critical edge cases and scenarios.

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SME-Aligned Evaluation Metrics

Integrate subject matter expert (SME) feedback directly into your evaluation pipeline, ensuring AI behavior aligns with real-world standards.

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Continuous Improvement Loop

Close the feedback loop between testing, SME insights, and production data, enabling continuous improvement of your AI agents.

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Red-Teaming & Simulation Tooling

Rapidly simulate thousands of real-world interactions to proactively identify and address potential risks and edge cases.

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Compliance and Security

Maintain enterprise-level security and compliance with industry standards such as HIPAA and SOC 2 Type 2, safeguarding sensitive data.

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Seamless Integration

Easily integrate Autoblocks into your existing technology stack without disruption, enhancing your current workflows and infrastructure.

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How Autoblocks Works

  1. Connect: Integrate your existing AI agents, models, prompts, and evaluation logic.
  2. Test: Define, import, or automatically generate test cases using real-world data.
  3. Align SMEs: Engage SMEs to review outputs and provide structured feedback.
  4. Review & Deploy: Analyze insights from comprehensive dashboards, iterate efficiently, and deploy optimal solutions.
  5. Monitor & Iterate: Continuously monitor performance, automatically update test sets and evaluation metrics, and iteratively enhance your AI agents.

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Why Choose Autoblocks?

  • Accelerate Deployment: Move beyond manual QA and brittle test scripts to rapidly deploy reliable AI.
  • Minimize Risk: Proactively identify and mitigate risks before deployment.
  • Enhance Quality: Leverage expert insights to continuously improve AI performance.
  • Scale Efficiently: Automate testing and evaluation processes at scale.
  • Ensure Compliance: Consistently meet industry regulations and standards.