Autoblocks AI: AI Testing and Validation Platform
Autoblocks AI helps software and enterprise companies validate AI agent behavior. It is designed for teams in regulated industries, such as healthcare and finance, that handle sensitive data.
At a glance
- Category
- Software Development
- Best for
- Software companies, Enterprise companies, AI development teams, Regulated industry AI projects
- Pricing
- Pricing tiers include Startup at $199/month, Growth at $799/month, and custom Enterprise pricing.
- Key use cases
- AI Chatbot and Agent Testing, Risk Mitigation in Regulated Industries, SME Feedback Integration, Production Monitoring
- Official website
- www.autoblocks.ai/
Autoblocks AI is designed to help teams identify and fix failures in AI applications before they reach users. The platform supports a shift away from manual QA and static test scripts by providing tools to automate the validation of AI chatbots and agents.
The tool is intended for AI development teams, particularly those operating in high-stakes or regulated environments. It supports a workflow of connecting AI models, defining test cases, and incorporating feedback from subject matter experts (SMEs).
Capabilities include simulating real-world scenarios and creating continuous improvement loops based on production data. This approach helps teams align AI behavior with business outcomes and regulatory requirements.
Buyers should confirm how their specific codebase integrates with the platform and verify if the data processing limits of the available pricing tiers align with their interaction volumes.
Key Features
Generates test cases based on real user inputs to identify edge cases.
Incorporates subject matter expert feedback into the evaluation pipeline to measure behavior against real-world standards.
Simulates interactions to identify weak points and risky behavior.
Links testing, SME feedback, and production data to update agents iteratively.
Supports HIPAA and SOC 2 Type 2 compliance for handling sensitive data.
Designed to connect with existing codebases, frameworks, or deployment setups.
Use Cases
Prototyping and validating the reliability of AI agents before deployment.
Using red-teaming and simulations to identify potential hallucinations or data leaks in healthcare or finance applications.
Capturing expert input through purpose-built interfaces and codifying it into AI evaluation logic.
Setting up monitoring to update test sets and evaluation metrics after an agent goes live.
Best For
Pricing
Pricing tiers include Startup at $199/month, Growth at $799/month, and custom Enterprise pricing.
FAQ
It is designed for software and enterprise companies, specifically AI teams in high-stakes or regulated industries like healthcare and finance.
There is a Startup tier at $199/month, a Growth tier at $799/month, and custom pricing for Enterprise users.
Yes, the platform supports HIPAA and SOC 2 Type 2 compliance to help safeguard sensitive data.
Users can define or import test cases, or use the platform to generate them based on production data.
Source category: Software Development
Source subcategory: Test Automation
