Edge AI Studio
AI governance for industrial fleets.
Deploy, monitor, and govern AI models across thousands of distributed devices — with staged rollouts, instant rollback, and full auditability — all from a single control plane.
Everything operations teams need
Edge AI Studio is designed for the operational reality of managing AI at scale — not a research prototype, but a production-grade control plane.
Staged model deployment
Roll out new AI models to a percentage of your fleet first. Promote automatically when health gates pass, or hold for manual sign-off.
Fleet-wide monitoring
Track inference latency, error rates, and resource usage per device in real time. Set thresholds and get alerted before problems affect production.
Instant rollback
Every deployed model version is retained. Roll back any device or the entire fleet to a previous version in a single action.
Offline-capable packages
Build model packages designed to run without connectivity. Lovey handles version management, checksums, and update scheduling.
Policy enforcement
Define which model versions are permitted per device class, location, or operating context. Unapproved versions are automatically rejected.
Deployment audit trail
Every deployment action — who approved it, when it ran, which devices were updated — is recorded in an immutable audit log.
How it works
From training to production, in control
Edge AI Studio bridges the gap between model development and operational reality. Engineers upload versioned model packages; the platform handles the rest — health gates, staged promotion, and immutable deployment records.
- Upload a versioned model package with metadata
- Define target devices and rollout percentage
- Set health gates — latency, error rate, or custom metrics
- Monitor promotion progress in real time
- Approve full rollout or roll back in one click
Ready to govern AI at scale?
Talk to the Lovey engineering team about your fleet size, device types, and deployment requirements.
Talk to an engineer