AI where data lives. In production.
ML in the machine.
Not in the cloud.
For OEMs embedding AI models in the equipment they ship to client sites. Your machine learns after delivery. Your client's data never leaves their facility. No cloud dependency. No client negotiation required.
The model ships with the machine.
Embed your AI directly in your equipment's inference layer. Updates propagate across every installed unit — without touching a single byte of client operational data.
Your fleet learns. Your clients stay compliant.
Federated updates improve every machine in your installed base. Each device contributes to model quality — without centralising data across sites. Your OEM improves. Your clients never negotiate data-sharing agreements.
One configuration. Every node.
A single deployment config reaches every machine in the field. New client sites join the fleet in minutes. No per-site engineering project. No cloud infrastructure to maintain.
A European industrial OEM with a distributed installed fleet is running Manta in production across sorting and quality-control systems at multiple client sites — where machines cannot be stopped and raw data cannot leave the premises.
AI on the machine.
Not inside it.
For ISVs running predictive maintenance, asset tracking, and condition monitoring across distributed client infrastructure. Your model watches the system. Your client’s data stays theirs. Each new site is a new node — not a new engineering project.
Your model runs on their infrastructure. Their data stays local.
Deploy monitoring AI directly on client edge systems — industrial machines, sensors, distributed assets. Inference runs locally. No operational data crosses to your environment.
Every new site makes the model smarter.
Each client deployment contributes to global model quality through federated aggregation. Anomaly detection improves across your entire customer base — without pooling a single sensor stream. Your ISV compounds value with every deployment.
Cut cloud costs on the data path.
Monitoring AI running at the edge eliminates the centralised telemetry stream. No ingestion pipeline. No storage bill that scales with client fleet size. Cost per inference stays local.
Compliance built in.
Not bolted on.
For Medtech ISVs deploying AI monitoring across clinical and home-care environments — where GDPR and the AI Act are not future requirements, they are today's blockers.
Compliance by architecture.
Patient data never moves. Model updates do. The platform is designed so that the architecture itself satisfies the data-locality requirement — not a policy document written after the fact.
Win hospital clients faster.
Your hospital and clinic buyers ask one question before any other: where does the data go? Manta's answer is already built in. You arrive at the sales conversation with the answer, not a promise.
Infrastructure layer. Outside the device.
Manta handles orchestration and data-locality enforcement. Your clinical validation timeline is unaffected. The platform sits outside the certified medical-device perimeter — your regulatory path stays yours.