Full-stack digital twin design and engineering for US industrial OEMs and medical device companies.
Sales needs an interactive configurator for complex equipment that does not require a physical demo unit in every meeting. Training needs a simulation environment where technicians can learn a machine before they are dispatched to a customer site. Field service needs a data-linked diagnostic tool that meets the technician where they are, on site, with the specific configuration of the specific machine. Marketing needs a visual asset that communicates the product's complexity and quality without static renders.
Most digital twin projects address one of these. The rest are retrofitted later, by different vendors, from a different starting point.
We build the twin once, engineer it to serve all four use cases, and hand over an asset that compounds in value with every new technician trained and every new sales conversation it enables.
The twin carries the brand. UI language, interaction patterns, and visual system are built from the identity, not improvised during engineering.
Four use case interfaces designed and validated before engineering begins. Sales configurator, training simulation, field service diagnostic tool, marketing experience.
Full-stack build from the ground up. Data linking, configuration management, and the asset architecture that makes a single twin serve all four functions.
Diagnostic intelligence, guided fault resolution, and knowledge retrieval built into the service interface at design time, not added after launch.
Documentation, training for the internal team, and a defined plan for ongoing asset management.
Companies whose field service documentation has become a service liability. Companies whose sales team is carrying physical equipment to demonstrations that a configurator could replace. Companies that have built one digital twin for marketing and now need it to work for the rest of the business.
The question we ask at the start of every digital twin engagement is how many separate assets the company currently maintains to cover sales, training, service, and marketing for the same product. The answer is almost always four.
The twin replaces all four from one maintained asset. That calculation determines whether the investment makes sense.
A scoping conversation first, to establish whether there is fit.
If there is fit, a paid discovery engagement maps the four use cases, the existing asset inventory, the data environment, and the platform architecture. Discovery produces the project scope and the fixed-price proposal.
The project follows, with the twin engineered once to serve all four use cases from the same underlying asset.
Why your field service documentation is the most expensive PDF your company owns.
What changed in field service, why static documentation has not kept up, and what it costs a business to keep producing the most expensive PDF it owns.
Read →Build the asset once for four outcomes, or pay to build it four times over.
Start a conversation