Computational co-design
Connect a customer’s calibrated numerical model to constrained decision analysis and measured outcomes.
Customer-specific engineering
Selected product access: CLI · MCP · Headless
Computational-engineering, infrastructure-planning and applied-research teams comparing design or operating alternatives.
Agree the business requirement, model and outcome before choosing the implementation.
Teams can simulate candidates but still struggle to choose under real constraints.
Connect the agreed model outputs to a supported optimization workflow and a common comparison basis.
Optimization guarantees do not establish the calibration of a simulation.
Keep observations, predictions, uncertainty assumptions and mathematical proof claims separate in the deliverables.
A local improvement can add model-conversion, transfer or verification overhead.
Compare the whole workflow, including numerical evaluation, selection, checking and operating cost.
The written scope names the inputs, implementation, evidence and handover your team receives.
A defined connection to customer-provided measurements or domain models, with accepted assumptions.
A reproducible set of parameter or operating alternatives and the agreed comparison protocol.
Candidate selections, resource fit and relevant checks within the admitted mathematical scope.
Measured versus predicted results, limitations and a handover for repeated studies.
Compare workload placements against modeled power, cooling, network and memory constraints, then assess the candidate against accepted measurements. Illustrative, not a deployed digital twin.
Illustration of the engagement, not a live solver or a customer case study.
Identify measured inputs, calibration, uncertainty and the constraints the decision must respect.
The following inputs and measures guide the proposal and acceptance plan.
Select only what the task needs.
These links do not assert a completed combined integration.
Commission a bounded scope using the existing engineering and licensing options. A $15,000 workload assessment or $30,000 focused sprint may fit a limited first step; neither includes the entire workflow by default. Larger implementation, operated delivery, compute and continuing rights are agreed separately.
This is a customer-specific engagement using selected existing products. The model, adapters, user experience and acceptance work are scoped before delivery. It does not add another underlying product or establish a completed integration.
Yes, where its input, output and operating interfaces fit the agreed scope. A custom adapter may be required. The existing tools do not have to be replaced to qualify one useful component.
Agree the baseline, required result, explicit limits, delivery capacity and acceptance tests before work begins. Existing software rates remain unchanged; engineering already included in a larger scope is not charged twice.
One capability. A connected workflow.
A team to put it into practice.