01 / context infrastructure

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.

Built for the plants where being wrong isn't an option.

Cerebre builds a connected model of your plant from your drawings, your data, and the knowledge your engineers carry - and keeps it current as the plant changes.

02 / why now

Every agentic AI investment you're making depends on this layer.

For AI to operate in an industrial plant, it needs to understand what your best engineers understand - the physical configuration, how equipment connects, what the procedures mean, and why any of it matters. That knowledge exists. It lives in the heads of your best engineers, scattered across drawings, documents, and disconnected systems.

There is no model that represents this. And without it, every AI investment you're making is reasoning in the dark.

AI cannot reason without context.

Enterprises cannot reason at scale without context infrastructure.

03 / the AI requirement

AI doesn't reason from data. It reasons from meaning.

The Cerebre ontology encodes meaning across your plant's physical configuration, engineering knowledge, and operational data. Not just what exists. What it means, how it connects, and why it matters.

Most data systems map connectivity. The Cerebre ontology maps understanding. Four layers - equipment and relationships, flow, control and signals, plant semantics - each building on the last so AI can traverse your plant the way an engineer navigates it: not from a list of tags, but from a model of how everything fits together.

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.

this layer lets ai answer
  • 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.
04 / the enterprise requirement

Intelligence that is open, accessible, and yours.

A plant model that is yours - not locked in a vendor, not locked in a person. Every engineer, application, and AI that needs it can reach it.

Living PlantModelApplicationsLLMsSimulationsCreateConfigureUseAccessEnrich
context infrastructure component
Select a component to explore.
05 / where it fits

Your ecosystem already has data. It already has AI. What it's missing is the context layer that makes both useful.

Your data aggregation layer tells you what's connected. Cerebre tells you why it matters and what to do about it.

your engineers, your tools, your AI
cerebre
The plant context layer
Exposes context, not just data, to every system and person that needs it.
your data aggregation layer
06 / what it enables

One model. Yours to own, build on, and compound.

value layer
The foundation

A connected model of your facility where all physical assets have a unique ID, naming conventions are normalized across data sources, and engineering concepts are codified and reusable across the organization. One accurate, connected model the rest of the enterprise builds from.

08 / credibility

The only context infrastructure platform built for industrial enterprise, in production at scale.

Battle-tested across the most data-intensive industrial operations on the planet.

Open infrastructure your enterprise builds on.

250+
plants modeled
150,000+
schematics processed
1B+
nodes that mean something
01
Handles variability

Built to handle the most complex, aged, and inconsistent plant documentation in existence. Brownfield facilities with decades of drawing revisions, mixed formats, and incomplete records - modeled deterministically, not by hand.

02
Built for scale

Not a point solution. The infrastructure layer that runs the largest plant model in the world, in production, across an entire enterprise operation.

03
Built for industrial complexity

Purpose-built knowledge graph tooling to query, visualize, and version a plant model at enterprise scale. Not adapted from general purpose graph databases. Built from the ground up for the way industrial facilities are structured and operated.

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 →

AICPA SOC 2 for Service Organizations

SOC 2 Type II certified.

Cerebre is in the business of scale. You build for the enterprise, not for one-offs.
Michael Honderich
Reliability and Maintenance Enterprise Owner
ExxonMobil
Michael Honderich
You are the best in the world at digitizing our brownfield plants. We tested you against the top players.
David Horst
inspection and asset integrity
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.
Aaron Huggett
business lead
This has the power to transform our entire business.
John Chambard
innovation and strategy manager
09 / leadership

Leadership

10 / briefing

See what changes when your plant reasons with you.

Experience what a plant model is, and understand how it becomes real within your existing digital and operational ecosystem.

request a briefing