
Build, test, and launch reliable AI chatbots and agents safely and at scale.
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Autoblocks AI helps prevent hallucinations and data leaks by enabling the testing of thousands of real-world scenarios and validating agent behavior against expected outcomes. This rigorous testing, combined with automated SME feedback, ensures that AI agents behave predictably and adhere to compliance standards, reducing the risk of incorrect outputs or sensitive data exposure before deployment.
The 'Agent Simulation' feature, available as a separate offering or included in higher tiers, likely refers to advanced capabilities for simulating complex interactions and environments for AI agents. While core testing validates agent behavior, Agent Simulation would allow for more comprehensive, dynamic, and perhaps multi-agent scenario testing, providing deeper insights into agent performance under varied conditions.
Yes, for Enterprise customers, Autoblocks AI offers hosted deployment options, including on-premise solutions. This is specifically designed for organizations with high volume or privacy-sensitive data, ensuring compliance with strict data residency and security requirements, such as those needing HIPAA BAAs.
Autoblocks AI integrates mechanisms to automatically capture and apply SME feedback. This means that insights and corrections from human experts can be systematically fed back into the testing and validation loop, allowing the AI system to learn and improve its behavior and responses without extensive manual intervention, thereby accelerating the refinement process.
Autoblocks AI tracks 'Scores' as a key metric, with pricing based on the volume of scores processed. These scores are quantitative evaluations of AI agent performance against defined criteria during testing. They are used to measure the accuracy, reliability, and compliance of agent behavior across various scenarios, providing objective data to assess and improve the AI's readiness for deployment.
Source: autoblocks.ai