Deploy AI on your machine fleet.In minutes, not months.
The Edge-AI Orchestration Platform that trains, updates, and monitors models across your distributed fleet — without moving a byte of data.
The last mile of AI is the hardest.
If training your models takes hours, why does deploying them still take months?
Engineering overhead kills speed
Building distributed AI infrastructure from scratch takes fifteen weeks before any value is delivered.
Cloud costs don't scale to the edge
Transferring and centralizing data drives storage, bandwidth, and compute costs beyond any ROI.
Data locked at the source
Centralizing data for training means compliance risk, client negotiations, and broken trust.
Compliance blocks deployment
Regulations stop data movement. Projects stall before a single model runs.
Vendor lock-in limits your stack
Proprietary APIs trap your model pipeline and remove strategic flexibility.
No visibility across sites
Distributed systems are opaque. Models drift. Problems surface after damage is done.
The platform that runs AI where data lives.
Manta orchestrates the entire AI lifecycle across your distributed fleet — no data movement, no DevOps overhead, no cloud lock-in.
15 weeks of engineering.Every time.
- Stand up local training environments on every site.
- Build node-to-node communication from scratch.
- Orchestrate training rounds and versioning in-house.
- Handle connection drops, retries, partial failures.
- Wire observability dashboards by hand — per site.
Minutes of configuration.One run.
- Define workflow — model, rounds, data-locality policy.
- Connect nodes. Communication is built in.
- Launch. Orchestration runs automatically.
- Drops recover silently. Retries handled.
- Real-time monitoring on from day one. Compliance too.
Register edge nodes.
Drop the agent on any Linux edge. No infra setup. No data transfer. The node joins the fleet.
Select your model. Set your policies.
Choose architecture, configure training rounds, set data-locality rules. One config, every node.
Distributed training starts.
Models travel to data. Gradients aggregate at the orchestrator. Raw data never crosses a boundary.
Three layers. Zero boundaries.
A platform that trains, updates, and monitors models across your distributed fleet — without a single byte of raw data crossing a boundary.
How to get started with Manta.
Test the platform on our managed beta. Move to your infrastructure when sovereignty requires it. Same APIs. Same workflow. Your terms.
Managed SaaS
Managed by Manta. Running in minutes. No infrastructure to provision. Connect your nodes, run your first training round today — the fastest path from zero to a working federated pipeline.
On-Premise Edge
Deployed on your infrastructure. No cloud dependency. No data ever leaves your environment. Full audit trail. Required by clients with strict data sovereignty contracts or regulated environments.
Built for the teams deploying AI on distributed infrastructure.
Three deployment contexts. One platform. Pick yours.
ML in the machine. Not in the cloud.
Embed AI in your shipped equipment. Models update across your installed fleet. Client data never leaves the site.
Learn moreAI on the machine. Not inside it.
Deploy predictive maintenance and asset monitoring across client infrastructure — without centralising operational data.
Learn moreCompliance built in. Not bolted on.
GDPR and AI Act compliance by architecture. Arrive at the hospital sales conversation with the answer.
Learn moreBuilt with research partners and public backing.
Research collaboration with Inria. Public backing from BPI France and Incubateur PCA. Infrastructure co-development with Skyld and Sentiens.
Your fleet is ready.
Are you?
See the platform running on a real distributed setup. No slides. No commitment. One conversation.
Get Beta Access