Developing and maintaining generative AI products requires continuous monitoring and evaluation to ensure quality, compliance, and alignment with business objectives. Product managers lack dedicated tools to efficiently analyze performance, manage governance, and incorporate user feedback throughout the AI product lifecycle.

AIProductOps provides an agent-enabled platform that automates the governance and quality assurance of generative AI products. The platform offers product managers actionable insights, automated alerts, and tools to align AI products with user needs and business values. It enables seamless monitoring, evaluation, and comparison of AI products, ensuring adherence to best practices and facilitating continuous improvement. By integrating with existing workflows and offering customizable metrics, AIProductOps streamlines the AI development process and enhances product performance.

Cross-departmental product management modules for AI product strategy

Automated alerts for deviations in product behavior

Governance tools to oversee the AI portfolio at the application and dataset level

Automated evaluations using off-the-shelf benchmarks and LLM as judges

Comparability of current metrics with historical data and leaderboards

Scalable analytics for creating individual metrics and improving the AI product lifecycle

LLM-powered user simulation to generate synthetic datasets

Automated collection of user feedback and expert annotation

Tools to align technical metrics with overall business objectives

Customizable metrics tailored to evolving knowledge and needs

Seamless integration with existing workflows

The primary users are AI product managers responsible for developing, monitoring, and maintaining generative AI products across various industries.