Cerebre — Context infrastructure for industrial AI
Engineers are the reasoning engine of every plant. Cerebre gives AI the same context.
Every system sees a piece of the plant. Cerebre sees the whole thing.
In plain terms: Cerebre builds a structured model of your plant (drawings, data, and the knowledge your engineers already carry) and keeps it usable by your team and your AI as the plant changes.
Every agentic AI investment you're making depends on this layer.
For agentic AI to reason the way an engineer does today, it has to triangulate three things at once: engineering knowledge, physical configuration, and plant behavior and conditions. Mapping data to data doesn't get you there; the industry solved point-to-point connections years ago. What's still missing is meaning.
This is context infrastructure: the layer industrial AI has been missing, and the one we've spent seven years building.
AI cannot reason without context.
Enterprises cannot reason at scale without context infrastructure.
The Cerebre ontology
Not a database. A model of how your plant actually works.
The physical plant, modeled from the tower down to the flange: equipment, sub-components, properties, functions, and how each connects to what's around it.
- What type of pump is this, and how does its pressure rating compare to the piping it discharges into?
- Show me every valve downstream of this pump.
The Cerebre ontology defines the structure. The plant model is that structure, built for your plant, and this is how it stays true over time.
Built once. Kept current forever.
Built from the engineering documents you already have (P&IDs, CAD, existing data systems) through Cerebre's recognition engine. Not a manual re-modeling project.
Engineers add and correct context directly as they find it, capturing the knowledge that usually only lives in someone's head.
As the plant changes (a valve replaced, a line rerouted), the model changes with it, so context doesn't go stale the way documentation usually does.
A lightweight context layer, not a data aggregation platform.
Your data aggregation layer tells you what's connected. Cerebre tells your engineers and your AI why it matters.
Infinite front ends, one back-end.
Instantiate and govern the concepts that matter to your business, directly on the plant model.
Reason the way you already do: across every connection in your plant, wherever that data actually lives.
See equipment, procedures, and connections in the context of the problem you're solving.
Reach your plant model from any tool, interface, or your LLM, and extend it through open SDKs.
Sustainable, scalable, open access to knowledge.
A connected model of the physical plant.
Tacit expertise, structured and reusable.
Every connected tool shares the same context.
Reasoning across your entire fleet, not one plant.
Autonomous operations require AI that reasons safely.
The next stage of industrial AI isn't answering questions, it's acting on them. That only works if every model's reasoning can be traced back to the actual, current state of the plant, and stays current as the plant changes. Cerebre is built to make AI's reasoning traceable, current, and safe enough to act on.
This is happening continuously, for every change, across your entire plant.
Built for the plants where being wrong isn't an option.
Building the context infrastructure category since 2019.
Open infrastructure your intelligence can compound on.
Not by hand, and not by guesswork.
Not a pilot.
The tooling that makes a model this size actually usable, not just built.
Deployed by ExxonMobil, one of the industry's most data-conscious operators. Read the announcement →
Recognized by Chevron Technology Ventures' Catalyst Program. Read the announcement →
SOC 2 Type II certified.
“Cerebre is in the business of scale. You build for the enterprise, not for one-offs.”
“You are the best in the world at digitizing our brownfield plants. We tested you against the top players.”
“Cerebre is a game-changer: modernizing drawings that have been static for a century, simplifying revisions, and enabling integrated, contextualized data in an intuitive user interface.”
“This has the power to transform our entire business.”