Autoblocks
UnclaimedBuild, test, and launch reliable AI chatbots and agents safely and at scale.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Significantly reduces manual AI testing time from months to minutes.
Biggest con
Pricing tiers are based on processed data and scores, which might be complex to estimate for some users.
TL;DR - Autoblocks
- Automates AI chatbot and agent testing for reliability and safety.
- Accelerates AI deployment while ensuring compliance and risk management.
- Designed for high-stakes industries requiring rigorous AI validation.
Pricing: Paid only
Best for: Enterprises & pros
What is Autoblocks?
Autoblocks AI is a comprehensive platform designed for AI teams to prototype, test, and deploy reliable AI chatbots and agents, particularly in high-stakes industries like healthcare and finance. It addresses the challenges of manual QA, brittle test scripts, and scattered tools by providing a unified environment for AI validation.
The platform enables teams to test thousands of real-world scenarios rapidly, automatically capture and apply subject matter expert (SME) feedback, and validate agent behavior to accelerate deployment. This ensures AI models behave predictably and comply with industry regulations, mitigating risks such as data leaks and hallucinations. Autoblocks helps balance innovation with compliance and risk management, allowing for faster and more confident AI product launches.
It is ideal for organizations that handle sensitive data and require rigorous testing and validation processes for their AI applications, ensuring reliability and reducing liability before AI agents reach end-users.
Available on: Web
Pros & Cons
Pros
- Significantly reduces manual AI testing time from months to minutes.
- Enhances AI reliability and predictability before deployment.
- Provides tools for compliance and risk management in sensitive industries.
- Accelerates the launch of AI products with confidence.
- Offers specific support for HIPAA BAAs for healthcare data.
Cons
- Pricing tiers are based on processed data and scores, which might be complex to estimate for some users.
- The free tier is not explicitly detailed, only a general "Start building for free" is mentioned.
- Specific details on integration capabilities with existing AI development pipelines are not provided.
Preview
Key Features
Automated testing of AI agentsReal-world scenario simulation (1000s in minutes)Automated capture and application of SME feedbackAgent behavior validationCompliance and risk management for AISupport for high-stakes industries (healthcare, finance)
Pricing Plans
Startup
$199 / month
- 5 GB Processed data ($3/GB thereafter)
- 50,000 Scores ($1.50/1,000) thereafter)
- 1 Month Data retention ($3/GB retained thereafter)
- 3 Users
Growth
$799 / month
- 20 GB Processed data ($3/GB thereafter)
- 100,000 Scores ($1.50/1,000) thereafter)
- 3 Months Data retention ($3/GB retained thereafter)
- 5 Users
Enterprise
Custom
- HIPAA BAAs
- premium support with on-prem
- hosted deployment for high volume or privacy-sensitive data
Agent Simulation
$799 / month
- 20 GB Processed data ($3/GB thereafter)
- 100,000 Scores ($1.50/1,000) thereafter)
- 3 Months Data retention ($3/GB retained thereafter)
- 5 Users
How Autoblocks's pricing compares
At $199/mo, Autoblocks is the most premium of its 2 direct competitors.
Entry paid plan, monthly.
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Autoblocks FAQ
How does Autoblocks AI specifically help in preventing AI hallucinations and data leaks in sensitive industries?
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.
What is the 'Agent Simulation' feature mentioned in the pricing, and how does it differ from the core testing capabilities?
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.
Can Autoblocks AI be deployed on-premise or in a private cloud environment for organizations with strict data residency requirements?
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.
How does Autoblocks AI facilitate the capture and application of Subject Matter Expert (SME) feedback automatically?
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.
What are the specific metrics or 'Scores' that Autoblocks AI tracks, and how are they used to evaluate AI agent performance?
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