
Autoblocks AI is a platform designed to help AI teams prototype, test, and launch reliable AI chatbots and agents faster and at scale. It addresses challenges in high-stakes industries by providing control over AI development and testing, mitigating risks like data leaks and hallucinations. The platform enables teams to test thousands of real-world scenarios in minutes, capture and apply SME feedback automatically, and validate agent behavior to accelerate deployment without sacrificing reliability. Autoblocks integrates seamlessly with existing stacks and offers features like dynamic test case generation, SME-aligned evaluation metrics, continuous improvement loops, and red-teaming/simulation tools. It also ensures enterprise-level security and compliance, including HIPAA and SOC 2 Type 2. Autoblocks facilitates collaboration between technical developers and non-technical stakeholders, leading to faster AI launches and enhanced trust.

Autoblocks AI is a platform designed to help AI teams prototype, test, and launch reliable AI chatbots and agents faster and at scale. It addresses challenges in high-stakes industries by providing control over AI development and testing, mitigating risks like data leaks and hallucinations. The platform enables teams to test thousands of real-world scenarios in minutes, capture and apply SME feedback automatically, and validate agent behavior to accelerate deployment without sacrificing reliability. Autoblocks integrates seamlessly with existing stacks and offers features like dynamic test case generation, SME-aligned evaluation metrics, continuous improvement loops, and red-teaming/simulation tools. It also ensures enterprise-level security and compliance, including HIPAA and SOC 2 Type 2. Autoblocks facilitates collaboration between technical developers and non-technical stakeholders, leading to faster AI launches and enhanced trust.
What they do: Platform to prototype, test, validate, and monitor AI chatbots and agents with features for large-scale scenario testing, SME-aligned evaluation, and red-teaming/simulation.
Target customers: AI teams building agent/chatbot products in regulated or high‑stakes industries (e.g., healthcare).
Compliance: HIPAA and SOC 2 Type II
Founded / HQ: 2022 — New York, NY
Known funding: $2.0M seed reported (May/Apr 2023); investors include Kyber Knight Capital, Core Innovation Capital, The House Fund
Testing, evaluation, and validation of LLM-powered products and AI agents for reliability and compliance in regulated/high-stakes industries.
2022
Data and Analytics
2000000
Seed round announced May 11, 2023; databases report a ~ $2.0M seed round in Apr/May 2023 with investors including Kyber Knight Capital, The House Fund, and Core Innovation Capital.
“Kyber Knight Capital; Core Innovation Capital; The House Fund”