Here's how working with Basesite actually goes today: you send us your tool layout and your utility demands. Our engineers build the living model, run the Optimizer, and return the sized mechanical and electrical distribution — with the model behind it. No software to buy, nothing to learn, nobody on your team retrained.
In an industry where every vendor leads with a login page, that raises a fair question: why is a software company delivering its product as a service?
Because the input is the hard part
The Optimizer is only as good as the model it runs against — and building that model from real project data is genuine engineering work. Tool lists arrive as spreadsheets in a dozen formats. Utility requirements live in vendor documents, emails, and someone's memory. Demands need diversity treatment that depends on how the fab will actually run.
Handing you an empty tool and wishing you luck with data entry would produce exactly what the industry already has: a powerful system wrapped around unreliable inputs. So our team does the structuring — tool templates, capacity pools, connections — and owns the quality of the result. That's also why data management is a standing offer, not just an onboarding step: for high-volume manufacturing, our team keeps structuring and cleaning utility and equipment data on an ongoing basis, so the model stays accurate without adding to your team's workload.
A powerful engine on top of messy data is just a faster way to get the wrong answer.
Because a design deserves an engineer's judgment
The output isn't a report — it's the basis of design for a fab's utility backbone. When the Optimizer proposes a distribution, our engineers review it before you ever see it: does the routing make constructional sense, are the assumptions behind the demands still current, is the model telling us something about the inputs that a person should question? You get results that someone stands behind, and the loop stays fast because the people running it run it every day.
This is also, frankly, how the product gets better. Every engagement runs the full loop — capture, optimize, apply, re-run — on a real fab with real constraints. The friction our own engineers hit is the roadmap.
What has to be true before self-serve
We do intend to put this loop directly in your hands — the same capture-optimize-apply-re-run cycle, self-serve inside FacilityConnect. That's the direction we're building in, stated plainly as a plan, not a feature you can click today.
The bar for shipping it is the reason for the current model: self-serve is ready when the system catches input problems the way our engineers do — when templates, validation, and the model itself guard the quality that people guard now. Until then, white-glove isn't a stopgap in front of the real product. It is the product, delivered the way we can stand behind it.
The practical upshot for owners: you can start now, with zero adoption cost, and the living model our team builds for you is the same one the self-serve loop will run against later. Nothing you invest in the engagement is throwaway.