Impact AI is an AIProductOps platform that helps genAI teams to streamline and enhance their product development workflow. It provides a centralized hub for managing, testing, evaluating, and improving AI products throughout their entire lifecycle (validate/build/improve). This platform integrates seamlessly with Azure AI Studio, allowing for effortless one-click syncing of your AI product's data, including models, logic, and backend applications.

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Impact AI offers a comprehensive suite of features, including:

AI Product Overview and Management: A centralized dashboard to manage all internal developed AI products with different versions and comparisons between them.
Automated Testing and Evaluation: AI-powered agents and simulated user personas to run automated multimodal evaluations and tests on your AI products. It provides real-time metrics and insights on various aspects of your AI, including safety, quality, and use-case efficacy metrics.
AI-Assisted Product Strategy: Impact AI's smart agents guide product managers through key tasks. These agents can help define jobs-to-be-done, translate requests and success factors to score-able evals and arrive at scenarios which are then automatically tested by the agents.
Compliance and Reporting: The platform helps ensure your AI products align with relevant regulations like the EU AI Act and NIST RMF. It can automate individual compliance reporting and helps define and monitor success metrics based on your specific use case.
Feedback Integration: Impact AI allows for integration of expert- and user feedback on the AI product, both direct and indirect (e.g., user behavior analysis), to further refine the evaluation and improvement process.

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Most helpful for: AI Product Managers, Technical Product Owners, Data Scientists, AI Engineers, AI Executives.
Impact AI empowers these users by providing them with a collaborative platform to work together, share insights, and track the progress of their AI products.

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Impact AI addresses several critical needs and pain points experienced by AI teams developing GenAI products:

● Real-Live Evals: includes evaluating AI products based on their ability to handle real-life scenarios, user interactions, and complex, nuanced tasks

● Efficacy and User Analytics: providing customizable metrics tailored to your use cases and leveraging multi-agent AI judges that can assess complex aspects

● Shift-Left Testing for AI Products: incorporating testing and evaluation earlier in the development lifecycle to identify and address potential issues before they become costly to fix. Impact AI supports this approach by providing tools and frameworks for defining evaluation criteria, generating user personas, and conducting automated tests early in the process

AI Product Analytics PlatformImpact AI

AI Product Analytics Platform

Impact AI

AI Product Analytics Platform

Impact AI

AI Product Analytics Platform
Impact AI