See it live See it on your stack. Tell us your systems and goals — we'll show how the Knowledge Fabric fits beneath what you already run. Talk to our team

By industry

Not listed? The Fabric adapts to any data domain. If your industry isn't here yet, it's still a fit — the Knowledge Fabric is model- and domain-agnostic. Talk to an expert

Company

Request a demo See it on your own data. Book a 30-minute walkthrough with a knowledge expert and find the value hiding in your existing systems. Request a demo
Asset Twin

The signals that predict failure are already in your data

Different assets live in different systems that were never designed to communicate. Asset Twin is your live digital model of every physical asset you operate enabling you to predict failures before they happen.

Connects your existing stack

Connects your existing stack, no rip-and-replace

Entity resolution

Entity resolution across every system boundary

Full lineage

Full lineage on every AI output, audit-ready by default

Powered by the PolyPhaze platform

One Knowledge Fabric powering every solution

Every PolyPhaze solution runs on the same foundation: the PolyPhaze Knowledge Fabric™. It connects the systems you already run, resolves meaning across their boundaries and traces every insight back to source, so what works for one team scales to all of them.

Explore the platform
Feature overview

What changes when every asset has one trusted record

Right now the same airplane engine exists as four different records in four systems. Asset Twin resolves them into one Trust-Scored record, so you can do predictive maintenance and route actionable findings up the fleet.

Physical asset with a technician — one trusted record
1 record4 systems
Unify
CMMSERPunified
ONE ASSET, ONE RECORD

The same asset across every system

A single engine shows up in the MRO system, the ERP, the OEM technical database and the regulatory certificate, under a different identity each time. Asset Twin resolves all four into one canonical, Trust-Scored record, with no matching keys required.

  • One canonical record per physical asset
  • Resolved across CMMS, ERP, OEM and regulatory systems
  • No matching keys or shared identifiers required
Request a demo
Maintenance engineer reviewing asset condition data
Failure ~14 daysPredicted
Asset health
94/100
PREDICT, DON'T REACT

Catch failures before they happen

Predictive maintenance reads the Trust-Scored record, compares it against failure-mode baselines and OEM life limits, and flags what needs attention before failure. Each finding carries a Trust Score, an owner and a timeline, routed to the maintenance workbench.

  • Condition-based alerts before the failure event
  • Checked against OEM intervals and failure-mode baselines
  • Every finding carries an owner and a timeline
Request a demo
Inspector checking records against equipment
100Audit-readyTraceable
Record
Assettraceable
ALWAYS AUDIT-READY

Compliance traceable to the record

Airworthiness directives, classification certificates, DOT records and inspection status stay current and traceable to the source that produced them. When an auditor asks for proof, the answer is the record, not a scramble through four systems and a binder.

  • Airworthiness, classification and DOT status always current
  • Every compliance status traceable to its source
  • Auditor-ready evidence without the document hunt
Request a demo
See it live

See it on your own fleet

A 30-minute walkthrough with our AI experts. Every asset trusted and traceable.

ENG-77 · CFM56-5BPredictive
94health
EGT margin612°C
Vibration2.1 mm/s
Cycles18,450
1 failure predicted · ~14 days out
Capabilities

What's inside Asset Twin

One Trust-Scored model of each asset, built once and read by everyone: maintenance planners, reliability engineers, compliance teams and the AI agents that run alongside them.

Resolve

Asset entity resolution

The same physical asset resolved across CMMS, ERP, OEM databases and regulatory systems into one Trust-Scored record, with no matching keys required.

1record per asset
4systems resolved
Predict

Condition-based predictive maintenance

Recommendations drawn from Trust-Scored sensor and operational data, before the failure event, each with an owner and a timeline.

Comply

Audit-ready regulatory compliance

Airworthiness directives, classification society certificates, DOT and FMCSA records and inspection status, current, traceable and auditor-ready.

Track

Component-level history tracking

Serialized component histories that follow the part across asset assignments, never lost when a component moves between platforms.

Roll up

Fleet and portfolio views

Asset health, utilization and compliance rolled up to fleet, plant and portfolio level as Trust-Scored composite views.

Foundation for AI agents

The same Trust-Scored asset model your operators read is the foundation your maintenance AI agents run on, with no separate AI data layer.

Value realization

How Asset Twin deploys

It runs on the PolyPhaze Knowledge Fabric™, so it reads your maintenance and asset systems where they are, no rip-and-replace, and you're live on real assets in weeks.

Connect

Slipstream connectors read your CMMS, ERP, OEM feeds and regulatory databases. Data stays in source, nothing is moved.

Resolve

Each physical asset is resolved across every system into one canonical, Trust-Scored record.

Govern

Trust Scores, lineage and compliance status are configured per asset class and validated before go-live.

Activate

Predictive findings go live on the maintenance workbench, tuned against your failure-mode baselines and OEM intervals.

Integrations

Connects to the systems you already run

PolyPhaze integrates with the core platforms, data warehouses, third-party data providers and cloud infrastructure your team already uses. Model agnostic. No rip-and-replace. The PolyPhaze Knowledge Fabric™ reads from your existing stack and adds the intelligence layer on top.

See it on your assets

A 30-minute walkthrough on your physical asset inventory and your predictive maintenance needs. Every asset, trusted and traceable.

Request a demo

Prefer to talk it through?

Our solution specialists can walk through your asset systems, your verticals and how a rollout would work.

Contact for more info
FAQ

Asset Twin, answered

A CMMS records maintenance in one system and an asset register lists assets. Asset Twin resolves the same physical asset across CMMS, ERP, OEM and regulatory systems into one Trust-Scored record.

No. Slipstream connectors read your systems in place; data stays in source and nothing is moved.

CMMS, ERP, OEM technical databases, regulatory and certificate systems, plus sensor and operational feeds.

Predictions read the Trust-Scored record and only act on data above a confidence threshold, so alerts are grounded in data you can rely on.

Aviation, rail, energy, manufacturing and fleet operations, with airworthiness, classification society, DOT and FMCSA status tracked and traceable.

Yes. Serialized component histories follow the part across asset assignments and are never lost when a component moves between platforms.

The same Trust-Scored asset model your operators read is the foundation your maintenance AI agents run on, with no separate AI data layer.

We start on one asset class or fleet, resolve the records and prove the predictive and compliance gains, then expand.

Related solutions

Six solutions. One foundation.

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86%diligence coverage · on track

M&A

Diligence to integration on one trusted record of the target — know what you're buying, prove what you bought.

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Package and sell your data as a product — a new revenue line on the fabric you already run.

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AI-DecisionsGoverned
Approve refundpolicy match · lineage intactTrust 96
Route to underwriter3 sources reconciledTrust 92
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100%decisions traceable to source

AI-Decisions

Govern AI by the decisions it makes — every output traceable, every action accountable.

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Asset TwinAirworthy
engine_4471Turbofan · one trusted record98Trust
Airworthiness
Component history
12 daysbearing wear predicted · to service limit

Asset Twin

One trusted record for every physical asset — predict failures before they happen.

Learn more