The agent operating system for manufacturing.
Industrial data, operational context, and permissioned actions on the systems you already run—exposed as governed tools for agents.
The systems you already run, connected.
We connect to your MES, ERP, historians, PLCs, and shopfloor systems alongside the unstructured documentation that holds your operating knowledge.
- Connectivity to MES, ERP, historians, PLCs, MQTT, OPC UA, and shopfloor networks
- Unstructured documentation: SOPs, P&IDs, line-builder specs, Confluence
- Data products served into Snowflake, Databricks, Fabric, and custom stacks
- Lineage and governance across every transformation
Your production reality, made operational.
The context graph turns connected data into a live, governed model of how production works. It connects what exists, what is happening, what the rules allow, what people have decided, and which actions a person or agent can take next.
- A manufacturing ontology for assets, processes, materials, orders, and signals
- Live state enriched with documents, rules, and operational decisions
- Available actions in connected systems, governed by schemas, permissions, and audit trails
- One shared context for people, applications, and agents
Agents grounded in how production actually works.
Agents reason over governed operational context and use the same permissioned actions as people. An approved ERP operation, for example, becomes a typed agent tool with policy, evidence, and an audit trail attached.
- Actions from connected operational systems exposed as tenant- and permission-scoped tools
- Grounded analysis across process, quality, material, and performance data
- Model routing and traces for accountable agent workflows
- Policy and human approval applied wherever an action requires them
Deploy where your data lives.
SaaS.
Managed by context/fab. Fastest path to production.
Private Cloud.
Deployed in your Azure or AWS subscription.
On-Prem.
For plants and customers with strict air-gap or sovereignty requirements.
Enterprise-grade from day one.
Zero-trust architecture, identity that federates with what you already run, and AI governance built into the platform. Not bolted on after rollout.
Zero trust by default.
Every request authenticated, every action authorised. No implicit trust between services, users, or agents.
Governance for users and agents.
One policy model covers the analyst on a dashboard and the agent reasoning over the operational context graph. Decisions stay traceable, auditable, and revocable.
SSO, SCIM, and least privilege.
Federates with your identity provider. Roles scoped to the data and actions each user or agent needs, and nothing more.
ISO 27001 and (soon) SOC 2.
Local data residency (EU-hosted SaaS, or your cloud and geography for enterprise), independently audited information-security management, and best-in-class AI governance built in.