UnifAI is a comprehensive MLOps platform designed for deploying, monitoring, and controlling AI systems at scale. It offers real-time threat alerting, operational oversight, and end-to-end machine learning operations through a single secure interface. With UnifAI, you can manage distributed fleets of AI-powered systems, evaluate data quality, and deploy model updates with ease. The platform closes the loop between edge and cloud, enabling continuous improvement and scalable control across all deployed assets.
UnifAI provides a secure interface for managing AI operations, including orchestration, monitoring and model deployment across distributed systems. No extra layers, no unnecessary complexity.
Built with encryption, GDPR compliance and zero-trust principles from the start. UnifAI keeps sensitive data local and secure, while supporting automated anonymisation workflows.
Aggregate data from your distributed assets into managed, encrypted datasets. Efficiently evaluate quality, retrain models and distribute versioned updates back to devices through a secure, unified interface.
UnifAI is designed for demanding operational environments. It supports distributed fleets with integrated model governance, alerting and performance monitoring.
UnifAI tracks the status and performance of connected systems, helping teams identify faults, misconfigurations or degraded behaviour early, before they affect mission outcomes.
Rather than full video streams or constant monitoring, UnifAI delivers prioritised alerts with supporting evidence. This helps teams focus on decisions, not noise.
We’re rolling out UnifAI to help our customers streamline how they manage data and models across their FortifAI-powered systems. Get in touch to learn more and secure early access spot.
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