Making your complex data AI-ready.
From the factory floor to the information system, Newboot Core turns heterogeneous data into reliable context for your AI applications and agents. One proprietary foundation, the same cycle for every site, system and use case.
- Discover
- Model
- Contextualize
- Expose
- Orchestrate
The AI model is no longer the hard part. The data and its context are.
Heterogeneous protocols, OT, IT and business silos, names that change from one site to the next, missing business context: every new project rebuilds the same foundations. Newboot lays them once, for all your use cases.
- Heterogeneous systems and protocols
- OT, IT and business silos
- Naming varies by site and system
- Integration rebuilt for every project
- Pilots that never scale
- Reliable, contextualized data
- Reusable business models
- Faster application deployment
- Edge and cloud interoperability
- Replication across sites and systems
The same cycle for every site, system and use case.
Discover
Automated analysis of data sources, structures and quality (Data Fingerprint).
Model
Ontology Builder: business objects, relationships and rules, generated from your systems.
Contextualize
Semantic kernel and digital twin: the business meaning of each value, with its lineage.
Expose
An MCP server and APIs serve the model to applications and AI agents.
Orchestrate
Industrialize, replicate and operate at scale, across sites and systems.
Edge connectivity and execution.
Newboot OS, connectors, real-time processing and AI at the edge: data is captured and processed where it is produced, then served to the rest of the platform.
- Coverage95% of industrial protocols: Siemens, Schneider, Fanuc, Allen-Bradley, Wago, Yokogawa
- ProtocolsOPC-UA, MQTT, Modbus, Profinet, S7, FOCAS, MTConnect
- CloudNative Azure integration, private or public cloud
- RuntimeKubernetes at the edge, delivered by GitOps
In industry, the edge makes the difference. In enterprise data, the automated ontology does.
Newboot Industry
From machine data to operational performance, for plants, lines and multi-site groups.
Newboot Genesis
Migrate, harmonize and activate enterprise data with an automatically generated ontology and full lineage.
The whole chain, from equipment to AI agent, on a single foundation.
| Capability | Cloud data platforms | IoT / Edge solutions | Custom integration | Newboot |
|---|---|---|---|---|
| Native OT equipment connectivity | Not covered | Covered | Partial | Covered |
| Automatically generated ontology and business context | Partial | Not covered | Partial | Covered |
| Exposure to AI agents (MCP, API) with lineage | Partial | Not covered | Not covered | Covered |
| Deployment within your perimeter (on-premise, your Azure tenant) | Partial | Covered | Covered | Covered |
| Replication across sites without starting from scratch | Covered | Partial | Not covered | Covered |
Indicative positioning by category of solution.
Deployed where your data lives.
On-premise
On your servers and industrial PCs, inside the plant network.
At the edge
Processing at the source, outbound-only connections, operation without cloud.
In your Azure tenant
Genesis solutions run inside your own Azure perimeter.
Governed and traceable
Lineage of flows, transformations and dependencies for every value.
Deploy, prove value, replicate.
Software license
Annual, recurring right to use the platform and the selected modules.
Integration and deployment
Connection, configuration, contextualization and commissioning, by Newboot or its partners.
Extension
New machines, lines, sites and use cases on the same software foundation.
Let’s make your complex data AI-ready.
- 1Scoping workshopIdentify the priority use case and the data available.
- 2PilotProve the value on one line, one site or one IT scope.
- 3Deploy and replicateIndustrialize, then roll out to other lines and sites on the same foundation.