Autoblocks
Autoblocks is a full-stack LLMOps platform that provides monitoring, debugging, and testing capabilities for AI products. It allows users t...
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What is Autoblocks?
Autoblocks is an enterprise-grade platform designed for AI product teams to prototype, test, and launch reliable AI chatbots and agents faster and at scale. The platform helps teams catch and fix AI failures before they reach users, eliminating manual QA, brittle test scripts, and scattered tools. Autoblocks is specifically built for high-stakes industries like healthcare, finance, and other regulated spaces where data leaks or incorrect hallucinations can become major liabilities.
Key features include dynamic test case generation that creates test cases based on real user inputs to catch edge cases, SME-aligned evaluation metrics that integrate subject matter expert feedback directly into the evaluation pipeline, and a continuous improvement loop that closes the feedback gap between testing, SME insights, and production data. The platform also offers red-teaming and simulation tooling to simulate thousands of real-world interactions in minutes, HIPAA and SOC 2 Type 2 compliance for enterprise-level security, and full integration with existing tech stacks without requiring rip-and-replace.
Autoblocks is for AI product teams, developers working with LLMs and diffusion models, and organizations in regulated industries who need to ensure their AI models are robust, compliant, and aligned with real-world business outcomes. The platform enables true developer and SME collaboration beyond static human-in-the-loop setups, helping teams link testing and evaluation to real-world results like lowering costs, ensuring compliance, and reducing failure rates.
Autoblocks pricing
Pricing model: Paid
Autoblocks offers a free tier and three paid plans: Startup at $199/month includes 5 GB processed data ($3/GB thereafter), 50,000 scores ($1.50/1,000 thereafter), 1 month data retention ($3/GB retained thereafter), and 3 users. Growth at $799/month includes 20 GB processed data, 100,000 scores, 3 months data retention, and 5 users. Agent Simulation is also $799/month with the same features as Growth. Enterprise offers custom pricing with HIPAA BAAs, premium support, and on-prem/hosted deployment for high volume or privacy-sensitive data. The platform offers freemium pricing with a free forever plan.
Autoblocks pros
- Tests thousands of real-world scenarios in minutes instead of months
- Captures and automatically applies SME feedback into evaluation logic
- Dynamic test case generation based on real user inputs
- Red-teaming and simulation tooling to spot weak points before deployment
- HIPAA and SOC 2 Type 2 compliance for regulated industries
- Full integration with existing tech stack without rip-and-replace
- Continuous improvement loop between testing, SME feedback, and production data
- Validates agent behavior to accelerate deployment without sacrificing reliability
- Links testing and evaluation to real-world business outcomes
- Enterprise-grade security safeguards sensitive data
- Enables true dev and SME collaboration beyond static setups
- Simulates 1000s of real-world interactions in minutes
- Auto-updates test sets and eval metrics after agent goes live
- Iterate on prompt variants at scale before deployment
- Production monitoring set up with auto-update capabilities
Autoblocks cons
- No free trial available
- Startup plan starts at $199/month which may be high for small teams
- Growth plan at $799/month targets larger organizations
- Extra costs for processed data beyond plan limits ($3/GB)
- Additional scores cost $1.50 per 1,000 beyond plan limits
- Data retention beyond plan limits costs $3/GB retained
- Enterprise plan requires custom pricing contact
- Limited to 3 users on Startup plan, 5 on Growth plan
Frequently asked questions about Autoblocks
What is Autoblocks and what does it do?
Autoblocks is an enterprise-grade platform that helps AI product teams prototype, test, and launch reliable AI applications and agents quickly and confidently. It catches and fixes AI failures before they reach users by eliminating manual QA, brittle test scripts, and scattered tools. The platform is designed for high-stakes industries like healthcare and finance to ensure AI models are robust, compliant, and aligned with real-world business outcomes.
How does Autoblocks work with my existing AI stack?
Autoblocks works with your existing tech stack without requiring rip-and-replace. You simply plug into your existing codebase, framework, or deployment setup. The Connect step allows you to integrate your existing AI agents, models, prompts, and evaluation logic seamlessly.
What industries is Autoblocks designed for?
Autoblocks is designed for high-stakes industries that handle sensitive data, including healthcare, finance, and other regulated spaces. The platform provides HIPAA and SOC 2 Type 2 compliance, enterprise-level security, and continuous testing to ensure compliance with industry regulations and safeguard sensitive data.
How does SME feedback integration work in Autoblocks?
Autoblocks captures subject matter expert (SME) input, codifies it into evaluation logic, and ties it directly into the agent improvement loop. SMEs review outputs and provide feedback using purpose-built interfaces. This feedback becomes part of your evaluation pipeline, ensuring agent behavior is measured against real-world standards rather than just model performance metrics.
What is dynamic test case generation?
Dynamic test case generation automatically creates test cases based on real user inputs, efficiently capturing critical edge cases and scenarios that matter most. This approach helps you catch edge cases without wasting time on scenarios that don't impact real users.
How does red-teaming and simulation work?
Red-teaming and simulation tooling allows you to simulate thousands of real-world interactions in minutes to spot weak points, edge cases, and risky behavior before real users see it. This proactive approach helps identify and address potential risks before deployment.
What is the continuous improvement loop?
The continuous improvement loop closes the feedback gap between testing, SME insights, and production data. This enables continuous improvement of AI agents with every iteration, not just during development sprints or every release. After your agent goes live, you can set up production monitoring that auto-updates test sets and eval metrics.
What compliance standards does Autoblocks meet?
Autoblocks maintains HIPAA and SOC 2 Type 2 compliance with enterprise-level security. The platform ensures continuous testing to comply with industry regulations and safeguard sensitive data. Enterprise plans also offer HIPAA BAAs for additional compliance support.
What pricing plans does Autoblocks offer?
Autoblocks offers a free forever plan and three paid tiers: Startup at $199/month (5 GB data, 50,000 scores, 1 month retention, 3 users), Growth at $799/month (20 GB data, 100,000 scores, 3 months retention, 5 users), and Enterprise with custom pricing for high-volume or privacy-sensitive data with HIPAA BAAs and premium support. Extra costs apply for data and scores beyond plan limits.
How does Autoblocks help align AI products with business outcomes?
Autoblocks helps AI teams link testing and evaluation to real-world results rather than just model performance metrics. Whether it's lowering costs, ensuring compliance, or reducing failure rates, the platform enables you to ship AI that supports business goals. The dashboards provide insights that connect agent performance to tangible business outcomes.