Capital-intensive operators face thousands of interconnected decisions: hold or divest, own or pool, harvest or buy, which supplier and on what terms. We help you make them with clarity and speed.
Managing suppliers, contracts, and assets means interconnected, high-stakes decisions. Hold or divest. Own or pool. Which suppliers, and on what terms. Handled separately each looks manageable. Together they create a decision space no spreadsheet can search.
These are some of the interlocking choices a single asset class forces. Each one moves the others. Solve them separately and you trade a saving here for a shortfall there.
and many more, each one moving the others
Try it: scale a lifecycle problem
Parts
Planning periods
Sourcing options
Demand scenarios
Divestment-timing strategies
Our core is mathematical optimization, not an off-the-shelf planning tool and not a chatbot. We optimize for multiple objectives at once, where generic tools take each trade-off in isolation. Agentic AI sits on top as an orchestration layer, so your team can ask questions in plain language while the math does the deciding.
We have spent years building simulation and optimization systems for operations where you can’t afford to be wrong. We tailor those systems to your assets, suppliers, and contracts, so the software understands your constraints and gives you answers you can act on. Your team stays in control. The platform handles the complexity.
Ingests, cleans, and connects data from ERP, asset and maintenance systems, and supplier records. Everything is structured around how you actually operate, so decisions rest on one trusted foundation rather than a dozen spreadsheets.
Custom optimization models that simulate, optimize, and forecast with mathematical precision. Run what-if scenarios on sourcing, asset phase-out, and supplier terms across both operational and strategic horizons.
Prototypes are easy. Running models reliably is a different problem. Our platform is built for it, with dependable pipelines, monitoring, and governance, so your team can trust the system and focus on decisions.
One decision space, three axes. Cross-industry by design: the same engine applies wherever assets, spares, and suppliers interact.
Recover maximum value as assets retire.
As a fleet or asset class reaches its end of life, every part still has value, whether harvested, repaired, pooled, or sold, and so does the asset itself. We weigh all of it together and time the sale for the best return.
Decide what to own and what to source from pools.
Owning every spare ties up capital. Relying only on pools is very costly. We model the trade-off part by part, weighing pooling SLAs, repair turnaround, holding cost, and service targets, so you hold what you must and pool what makes sense.
Choose suppliers and negotiate from a position of clarity.
Supplier choice is rarely about price alone. We evaluate suppliers and contract structures together, modeling volume commitments, lead times, SLAs, and multi-sourcing, so the network stays resilient when terms or conditions shift.
We weigh every constraint together rather than one at a time, so a decision that looks good in isolation is checked against everything else it touches.
Procurement lead times and shop turnaround on repairs.
Asset residual value and the timing of divestment.
Volume commitments and minimum order terms.
Obsolescence, end-of-life schedules, and service-level targets.
Tell us where the cost and the complexity sit, and we will show you what optimization can do across your assets, spares, and supplier network.
