Loading...
Take models from notebook to production at scale, on the edge, in the cloud, or fully air-gapped.
An MLOps platform that versions, deploys, monitors and retrains models across cloud, edge and offline targets. Ship to on-device fleets or the cloud from one registry, roll out safely with canary and A/B, catch drift early, and retrain, all governed to ISO/IEC 42001. From one model to thousands.
Why teams choose it
Deploy to the edge, not just the cloud
Ship models to on-device fleets, the cloud, or air-gapped sites, from one registry.
Safe rollouts, no surprises
Canary and A/B releases, versioned and reversible, with drift caught early.
Governed by design
Lineage, approvals and audit, mapped to ISO/IEC 42001 for AI management.
Where it's used
Wherever a model has to run reliably, not just train.
01
Edge & on-device
Deploy and update models on device fleets, offline-tolerant.
What's included
Registry & pipelines
A versioned model registry with CI/CD pipelines from training to release.
Multi-target deployment
One workflow to ship to edge fleets, cloud or air-gapped, with canary and A/B.
Monitoring, drift & retraining
Live performance and drift monitoring that triggers governed retraining.
How it works
- 1
Register & package
Version the model, its data and lineage in one registry.
- 2
Deploy anywhere
Roll out to edge, cloud or air-gapped targets, with canary and A/B.
- 3
Monitor & retrain
Watch performance and drift, and retrain under governance when it slips.
- 1
Register & package
Version the model, its data and lineage in one registry.
- 2
Deploy anywhere
Roll out to edge, cloud or air-gapped targets, with canary and A/B.
- 3
Monitor & retrain
Watch performance and drift, and retrain under governance when it slips.
One MLOps backbone, from cloud to the edge
Version every model, its data and its lineage in one registry, then ship it through CI/CD to on-device fleets, the cloud, or fully air-gapped sites, the same way every time. Roll out safely with canary and A/B, monitor live performance and drift, and retrain under governance mapped to ISO/IEC 42001. The same edge platform that runs your fleet runs your models, so a model goes from notebook to thousands of devices without a rewrite. Proven in production; your build starts at integration, not at zero.
Capabilities
Product Engineering
AI, Data & Intelligent Systems
UX & Product Design
Experience Engineering
Cybersecurity
Compliance Engineering
US · Muscat · Bangalore · Puttur, ISO 13485:2016 · ISO 27001:2022 · ISO 9001:2015
© Copyright 2026 - LogicHive