Capability: Data and Context Engine

The same truck, the same person, one record instead of three.

Canvas reads the systems you already run and builds a model in the words your business uses. People stop acting as the glue between the gate log, the badge system and the spreadsheet.

Demo data
Canvas Data Intelligence overview on the fictional demo plant: the business context, what the data says, and counts of people, locations, assets, vehicles, tickets and events

The outcome

Ask a question in your own vocabulary and get one answer.

Most operations teams already have the data. It sits in separate systems that name the same thing three different ways. Canvas holds a business-level model above them, so a question about a supplier truck or a contractor reads the same wherever the facts came from.

  • Built from your own database schema, not a template
  • Corrections made by your people are kept when the model is refreshed
  • Straight answers inside a domain, with the model behind them
Demo data
A typed question about vehicles through the Main Gate answered in Canvas on the fictional demo plant as figures, a chart of arrivals by hour and a table by supplier
A warehouse aisle with racking on both sides and a forklift in the distance
Illustrative photo
The gate, the stock and the ledger describe the same day.

How the model is built

Read, draft, correct, keep.

The first draft is quick. The part that matters is that your corrections survive.

  1. Canvas reads the structure

    It looks at the tables and sample rows of a connected system to see what is actually stored.

  2. It drafts the business meaning

    Columns become fields people recognise, grouped under record types such as Person, Location, Event, Asset and Vehicle.

  3. Your team corrects it

    Rename a field, fix a relationship, say what a status code really means. A person has the last word.

  4. The corrections stay

    When the model is refreshed after a system changes, your overrides are not wiped.

One truck, seen by three systems

Each system tells the truth about its own corner. Canvas joins what it can prove belongs together.

What it recordsWhat Canvas does
Plate readerPlate seen at the gateLinks the vehicle by plate
Access controlA badge at the dock doorLinks the person across events
Face dossiersAn identity event at an entry pointJoins it to the same person record

Where resolution applies

Honest about scope

Entity resolution is built for two kinds of record. We say so plainly, because it keeps the answers trustworthy.

  • Persons

    The same person is linked across access-control events and face dossiers.

  • Vehicles

    The same vehicle is linked by its plate across the systems that report it.

  • Everything else

    Other record types are modelled and queryable. They are not automatically merged across systems.

Common questions

Do we have to rebuild our data first?

No. Canvas connects to the systems where the data already lives and models it in place. Your teams keep working in the tools they use today.

Who decides what a field means?

Canvas proposes, your people decide. Their overrides are kept.

Where does the data sit?

Inside your perimeter. You hold it and keep it. See data custody.

See your own systems resolved into one picture.

Bring two systems that never agree. We will show you the model Canvas draws from them.