Custom Digital Twin Development for Business Operations
Salt develops custom digital twin solutions that connect a model of physical assets or business processes to changing operational data. Start with one site, asset group, or workflow, then build the views and decision support your team needs. Sensor integration, simulation, and predictive features are scoped around available data and validation requirements.
Which operations could a digital twin help your team understand?
These are examples, not a complete list of what we can build. We develop custom solutions around your business process, including use cases not listed here. Delivered client work is identified separately below.
01Warehousing and logistics
Warehouse asset & condition model
Inspection findings, asset locations, and repair status live in separate records.
Start with
An asset register, location hierarchy, inspection records, and approved status updates.
What we can build
Connect assets, locations, conditions, and repair events in a model with source timestamps and ownership.
Your team gets
A current operational view showing affected assets, missing updates, and outstanding actions.
Plan for: Agree asset identifiers, update frequency, and how inspectors verify the model against the physical site.
Your project can adapt these examples, combine several workflows, or solve a different problem. Tell us what you need to achieve and which systems you use. We’ll define the scope, integrations, and a practical first release with you.
An illustrative flow to make the scope tangible. We adapt the steps, roles, and controls to your business.
01
Connect approved sources
Map assets, processes, identifiers, and observations from existing systems or gateways.
02
Maintain the operational model
Update relationships and state with timestamps, validation, and visible freshness.
03
Investigate and act
Review exceptions, compare agreed scenarios where validated, and send approved work to the responsible team.
What we can build
The capabilities behind the workflow.
Asset & process modeling
Represent entities, relationships, states, and business rules for the selected operation.
Data integration & freshness
Connect agreed APIs, events, or telemetry feeds and surface missing or stale observations.
Operational views
Build role-based views of conditions, history, exceptions, and work in progress.
Scenario evaluation
Scope and calibrate scenario models where data and domain expertise support a meaningful comparison.
Workflow integration
Connect approved maintenance or operations systems with review and traceability.
Access & audit controls
Define read and action permissions, source provenance, and records of important changes.
Related operational software experience
Warehouse rack audit & safety system
Salt’s warehouse rack audit and safety system demonstrates asset inspections, recorded findings, and repair follow-up. It is related operational software experience, not a claimed digital twin deployment. A twin’s telemetry, state model, and any simulation require their own agreed scope and validation.
Read the project scope and implementation details to assess the fit for your business.
Plan before you build
Agree on the inputs. Know what success means.
Systems, data & access
An accountable operations owner, an asset or process inventory, source-system access, stable identifiers, and agreed freshness and accuracy requirements. Review gateways, connectivity, retention, and data ownership. Hardware procurement, instrumentation, engineering simulation, and safety-critical control require explicit specialist scope.
What to measure
Establish baselines for model coverage, source-to-view delay, state accuracy against observed operations, missing updates, and time to investigate an exception. Evaluate any scenario or prediction against agreed reference cases before using it for operational decisions.
A focused first release
One asset group or process at one site, one agreed data feed, a defined state model, and one operational decision to support.
