Autoblocks AI

What Autoblocks AI does

Autoblocks AI is a cloud-based workspace that enables product teams to collaboratively evaluate, test, and improve their GenAI/LLM products. It helps teams prototype, test, and launch reliable AI chatbots and agents faster and at scale, especially in high-stakes industries. The platform provides tools to catch and fix failures before they reach users, moving beyond manual QA and brittle test scripts. Autoblocks allows 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. It also helps align AI products with business outcomes, ensuring compliance, reducing failure rates, and lowering costs.

Products

• Autoblocks AIA cloud-based workspace for product teams to collaboratively evaluate, test, and improve their GenAI/LLM products, enabling them to prototype, test, and launch reliable AI chatbots and agents faster and at scale.
• Agent SimulateA tool for red-teaming and simulation, allowing users to simulate thousands of real-world interactions in minutes to spot weak points, edge cases, and risky behavior before deployment.
• AI Trust CenterA platform to demonstrate the safety and accuracy of AI applications to prospective customers, providing real-time evidence of performance, streamlining customer concerns, and showcasing safety standards. It allows for standardized transparency in AI development and helps customers make informed decisions faster.
• AI Risk CenterAutomatically identifies, monitors, and helps mitigate risks across AI applications in real-time. It scans for potential risks without setup, evaluates applications across dimensions like test case coverage, PII leak detection, prompt security analysis, and evaluator coverage, and provides actionable suggestions for risk mitigation.
• Expert FeedbackA tool to collect, organize, and act on expert insights, helping build safer, more reliable AI applications. It centralizes feedback management, accommodates various review methods (Human Review Mode, API integration), and transforms domain expertise into concrete improvements for AI models.

Key capabilities

• Dynamic test case generation based on real user inputs
• SME-aligned evaluation metrics
• Continuous improvement loop between testing, SME feedback, and production data
• Red-teaming and simulation tooling (Agent Simulate)
• HIPAA & SOC 2 Type 2 compliance
• Full integration with existing tech stacks
• Automated risk identification and monitoring (AI Risk Center)
• PII leak detection
• Prompt security analysis
• Evaluator coverage monitoring
• Executive-level risk visibility with a credit-score-like rating
• Automated risk mitigation with actionable suggestions
• Centralized expert feedback management
• Human Review Mode for expert feedback
• API for collecting feedback from custom UIs
• Export feedback for fine-tuning models or improving evaluation processes
• Automated generation of new evaluations based on expert feedback
• Dedicated space to showcase model's performance metrics, testing protocols, and product updates (AI Trust Center)
• Demonstrate accuracy, safety, and reliability with detailed performance metrics and dataset characteristics
• Automated updates from testing pipeline to AI Trust Center
• Empower customers with expert resources (white papers, guides, safety documentation)
• Present key facts and FAQs to customers
• Push product updates directly to public trust center

Use cases

• Prototyping AI chatbots and agents
• Testing AI chatbots and agents
• Launching reliable AI chatbots and agents at scale
• Catching and fixing AI failures before they reach users
• Ensuring compliance in regulated industries
• Balancing innovation, compliance, and risk management in AI development
• Testing thousands of real-world scenarios in minutes
• Capturing and applying SME feedback automatically
• Validating agent behavior to accelerate deployment
• Enabling collaboration between developers and subject matter experts (SMEs)
• Aligning AI products with business outcomes (lowering costs, ensuring compliance, reducing failure rates)
• Generating test cases based on real user inputs
• Simulating real-world interactions to spot weak points and risky behavior
• Complying with industry regulations and safeguarding sensitive data
• Demonstrating AI safety and accuracy to prospective customers
• Streamlining customer concerns regarding AI safety and accuracy
• Positioning AI Trust Center as a competitive advantage for sales
• Identifying and mitigating risks across AI applications
• Monitoring production usage and comparing to existing test cases
• Detecting PII leaks with LLM models or services
• Proactively testing for prompt injection attacks and security risks
• Ensuring comprehensive scoring and evaluation processes with automated evaluators and human-in-the-loop feedback
• Collecting, organizing, and acting on expert insights for AI improvement
• Transforming domain expertise into concrete AI improvements
• Refining AI applications faster through expert feedback
• Standardizing transparency in AI development
• Providing customers with a clear overview of product trustworthiness
• Showcasing rigorous commitment to testing and transparency
• Detecting bias through cross-dimensional analysis
• Keeping stakeholders informed of latest AI improvements

AI approach

Autoblocks AI provides a cloud-based workspace for product teams to evaluate, test, and improve GenAI/LLM products. It focuses on helping teams prototype, test, and launch reliable AI chatbots and agents, especially in high-stakes industries. Key features include dynamic test case generation based on real user inputs, SME-aligned evaluation metrics, a continuous improvement loop, red-teaming & simulation tooling, and an AI Trust Center to demonstrate safety and accuracy. The platform helps identify and mitigate risks, detect PII leaks, and analyze prompt security. It integrates with existing AI agents, models, prompts, and evaluation logic.

Tech named: GenAI, LLM

Industries served

• Healthcare
• Finance
• Regulated industries
• Insurance

What it says sets it apart

• Focus on high-stakes industries with sensitive data
• Ability to test thousands of real-world scenarios in minutes
• Automatic capture and application of SME feedback
• Validation of agent behavior to accelerate deployment without sacrificing reliability
• Integration of SME input into evaluation pipeline for real-world standards
• Continuous improvement loop between testing, SME feedback, and production data
• Comprehensive red-teaming and simulation tooling
• HIPAA & SOC 2 Type 2 compliance for enterprise-level security
• Seamless integration with existing tech stacks without rip-and-replace
• AI Trust Center for demonstrating safety and accuracy to customers in real-time
• AI Risk Center for proactive, automated risk identification and mitigation
• Expert Feedback tool for centralized management and actionable insights from domain experts
• Executive-level risk visibility with a clear, actionable metric
• Automated suggestions for risk resolution with direct application into the app
• Empowerment of experts to provide feedback through various methods (dedicated interface, API)
• Ability to export expert feedback for fine-tuning models and creating smarter evaluators
• Standardized AI performance reporting to transform customer relationships