Industrial Productivity Platform

One knowledge base. Every capability runs on it.

A live model of how your equipment, lines, incidents and documents actually relate. Every capability reads from it, so nothing reasons from a corner of the picture.

Problem

Most AI just gives you faster silos.

Most manufacturers don't have an AI problem. They have a data-context problem. The usual answer is to add more AI agents, but an agent can only reason over what it can see. If it sees one silo, it inherits that silo's blindness. Deploy more of them and you scale the blind spots, not the intelligence.

Agent

Maintenance

Agent

Quality

Agent

Production

Agent

Documents

Four agents, four blind spots. None can see across the wall.

Architecture

Connect the meaning, not just the data.

A data lake puts everything in one place. It doesn't make the pieces understand each other. Two engines do that harder work: one builds a living model of your operation, one puts it to work.

The Transform Engine

Parses manuals, SOPs, FMEAs, event logs, machine signals and more, then maps them to entities: machines, process steps, failure modes, causes, corrective actions. When domain knowledge is needed, it asks your engineers and writes the answer into the model.

The knowledge model

Your operation as connected entities and relationships, in your vocabulary rather than ours. Stable process knowledge and live production events in one place, and easy to update as the operation changes.

The Orchestration Engine

Assembles the exact slice of the model a task needs: upstream steps, propagation paths, comparable history. Answers come back with sources and a confidence signal. Deterministic pipelines do the heavy lifting; agents reason only where reasoning earns it.

Example knowledge model: equipment connected to FMEAs, incidents, corrective actions and OEE records

In your landscape

It works with the stack you already run.

No rip-and-replace. Data flows from the systems you already have into one governed model, and back out as answers, spanning the OT and IT divide that keeps them siloed. If it has an interface, we can read from it.

Your systems

SCADA

PLC / Historians

MES

ERP

PLM

Quality & docs

Transform Engine

Parses and maps your data to entities

One knowledge base

Your operational memory

Orchestration Engine

Assembles context, returns answers with sources

Capabilities

Predict & Prevent

Operate

Simulate

Governance

Versioned

Approved sources

Access control

Audit history

Modules

Put the knowledge base to work.

Every module inherits the entire knowledge base instead of rebuilding its own pipeline. Start with one. Each module you add makes the others smarter.

Explore all modules

The future

Predict & Prevent

Surface risk before it becomes downtime.

Root-cause analysis

Predictive maintenance

and more…

The present

Operate

Run the floor on a live, shared picture of what’s happening now.

Daily management

Operator support

and more…

The hypothetical

Simulate

Test a change against a model of your operation before you commit.

Line balancing

WIP simulation

and more…

What an answer looks like.

Every module answers the same way: grounded in your data, scored for confidence, specific enough to act on. Here, a root-cause investigation that turns into prevention.

Example · Root-cause analysis

“Batch 1234 failed due to etch-pressure drift at Step 47, Chamber 2. Confidence: high. Evidence chain attached.”

“47 in-flight batches passed the same step under the same conditions. Flagged for review before final test.”

Trust & compliance

Built to clear your security review.

The questions your IT and OT security teams will ask, answered before they ask them.

SOC 2 Type II

Independently audited controls for security, availability and confidentiality. The evidence your compliance team asks for.

Cloud or hybrid

Run it fully managed, or keep sensitive operational data on-site with a hybrid deployment. Your data residency, your call.

Read-only by default

The platform reads from your control systems. It does not write back to them. No new path into your OT environment.

Governed knowledge

Versioning, approval status and access control on every source. Answers come from approved, current documentation.

Auditable by design

Every answer traces to the signal or document behind it. Full lineage, on demand.

Knows when it doesn't know

Thin evidence or a novel pattern gets flagged, never papered over with a guess.

Where do I start?

Not sure which use cases apply to your operation?

A short digital assessment maps your systems and data against what the platform can do, and shows where you'd see value first. Want the full picture? We visit your floor and leave you with a 12-month roadmap.