Autoblocks

Autoblocks is an end-to-end platform engineered to empower AI teams to build, test, and deploy safe and reliable AI applications with confidence. It specifically targets the challenges faced in high-stakes industries such as healthcare, finance, and legal, where errors, data leaks, or unpredictable model behavior can have significant consequences. Autoblocks replaces slow manual QA processes and brittle test scripts with a unified, automated system for prototyping, validation, and continuous monitoring.

The platform's core philosophy is to bridge the gap between developers, Subject Matter Experts (SMEs), and production data. By creating a continuous feedback loop, Autoblocks ensures that AI models not only perform well on technical metrics but are also aligned with real-world business outcomes and user expectations. This collaborative approach helps teams manage risk, ensure compliance, and ship high-quality AI products faster.

How to use Autoblocks

Autoblocks integrates seamlessly into your existing development workflow with a clear, five-step process:

1. Connect: Easily plug Autoblocks into your existing AI agents, models (e.g., LLMs), prompts, and evaluation logic. It is designed to work with your current tech stack, including popular frameworks like LangChain and DSPy, without requiring a complete overhaul.
2. Test: Define and import your own test cases or leverage Autoblocks to automatically generate thousands of dynamic test cases based on real production data. This ensures you cover critical edge cases and real-world scenarios that matter most.
3. Align SMEs: Invite subject matter experts to review model outputs and provide structured feedback through purpose-built interfaces. This valuable human insight is then automatically codified into your evaluation logic, making your tests smarter and more relevant.
4. Review & Deploy: Analyze rich insights from comprehensive test and evaluation dashboards. Iterate on prompt variations at scale to find the optimal configuration. Once you're confident in the performance, deploy the best version directly.
5. Monitor & Iterate: After launch, set up production monitoring to track your AI agent's performance in real-time. Autoblocks automatically updates your test sets and evaluation metrics based on new data, enabling continuous improvement long after deployment.

Core Features of Autoblocks

• Dynamic Test Case Generation: Automatically creates relevant test cases from real user interactions, ensuring robust testing against unforeseen inputs.
• SME-Aligned Evaluation Metrics: Transforms qualitative feedback from domain experts into quantitative, automated evaluation criteria.
• Continuous Improvement Loop: Closes the loop between testing, SME feedback, and production data to ensure AI agents improve with every iteration.
• Red-Teaming & Simulation: Allows you to simulate thousands of real-world interactions to proactively identify weak points, edge cases, and risky behaviors before they impact users.
• HIPAA & SOC 2 Type 2 Compliance: Offers enterprise-grade security and adheres to strict industry regulations, making it ideal for handling sensitive data in healthcare and other regulated fields.
• Full Stack Integration: Provides flexible integration with your existing codebase, frameworks, and CI/CD pipelines without vendor lock-in.
• AI Risk & Trust Center: A centralized hub for managing AI safety, monitoring for risks, and ensuring transparency in model behavior for enterprise stakeholders.
• Collaborative Workflows: A unified workspace designed to foster seamless collaboration between developers, product managers, and domain experts.

Use Cases for Autoblocks

Autoblocks is ideal for teams building sophisticated AI applications where reliability and safety are paramount. Key use cases include:

• Regulated Industries: Healthcare, finance, and legal teams use Autoblocks to manage compliance (e.g., HIPAA), mitigate risks, and ensure their AI tools are safe and dependable.
• Advanced AI Chatbots & Agents: Developers building complex, multi-turn conversational agents can ensure predictable and helpful behavior across a wide range of user interactions.
• Accelerating AI Product Development: Companies can significantly shorten their development lifecycle, moving from prototype to production in a fraction of the time by automating testing and validation.
• Aligning AI with Business Goals: Product teams can directly link AI performance to key business metrics, such as reducing operational costs, ensuring compliance, or improving customer satisfaction rates.

Advantages of Autoblocks

By using Autoblocks, AI teams gain a significant competitive edge through:

• Enhanced Reliability: Ship AI products with the confidence that they have been rigorously tested against real-world scenarios.
• Increased Speed: Drastically reduce testing time from months of manual work to minutes of automated evaluation.
• Improved Collaboration: Break down silos between technical and business teams, ensuring the final product meets all requirements.
• Proactive Risk Management: Identify and fix potential failures, biases, and security vulnerabilities before they reach production.
• Continuous Quality Improvement: Build self-improving systems that adapt and get better over time based on real data and expert feedback.

Pricing and Plans

Autoblocks offers a tiered pricing structure to suit teams of different sizes, with a free-to-start option.

• Startup Plan: $199/month. Includes 5 GB of processed data, 50,000 scores, 1-month data retention, and up to 3 users.
• Growth Plan: $799/month. Includes 20 GB of processed data, 100,000 scores, 3-month data retention, and up to 5 users.
• Enterprise Plan: Custom pricing. Designed for high-volume or privacy-sensitive applications, this plan offers options for on-premise or private cloud deployment, HIPAA BAAs, premium support, and unlimited scalability.

Teams can start building for free to experience the platform's core functionalities before committing to a paid plan.