Priced to the value we create, not a seat count.
Most software charges per login or per feature, which means your bill grows as adoption grows, exactly when you want more people using it. We price differently. Every engagement is sized by a calculator that models the value Built AI creates for your firm, then packaged bespoke. Want proof before you commit? We run a proof of concept on your own data.
Institutional real estate has been burned by per-seat SaaS that punishes the firms who adopt it most: the more your team relies on a tool, the more it costs, whether or not it created value that quarter. That makes no sense for a system whose entire job is to create leverage.
Built AI is infrastructure, not a license. You are not buying logins; you are buying a decision layer across your operation that reclaims analyst weeks, compresses your close, and turns quarterly reporting into a continuous capability. So we price against that value, transparently, and we are happy to prove it on your portfolio before you sign anything.
How pricing works
A comprehensive ROI model.
We quantify the analyst hours reclaimed, the close-cycle compression, and the error reduction across your specific workflows, then price against the value created, not the number of logins. You see the model line by line.
Scoped client by client.
No fixed tiers and no shelf SKUs. Each package is built around your stack, your seats, and the workflows that matter most, with the deliverables and success metrics defined up front so everyone knows what good looks like.
Prove the value before you scale.
Run a focused proof of concept on your own portfolio to validate the calculator's numbers in practice. If the value is there, you move to a full engagement with the ROI already evidenced. If it isn't, you walk away knowing.
Estimate the value, live.
Drag to model your firm. This is the same logic our calculator uses to turn your workflows into a defensible ROI estimate, before we build a bespoke package around it. The figure below is the annual operating value reclaimed from consolidation time alone, a deliberately conservative slice of the total.
Request a full pricing model →(conservative est.)
Illustrative. Assumes roughly half of consolidation time is recoverable in year one. Your bespoke model also accounts for close-cycle compression, error and rework reduction, faster deal throughput, and investor-trust effects, which typically exceed the figure shown.
Pricing, answered.
Because a fair price depends on your stack, your seats, and the workflows that matter to you, and we would rather model that honestly than quote a number that is wrong for most firms. The calculator makes the basis transparent, and the proof of concept removes the guesswork before you commit.
We take a focused slice of your real portfolio, connect to the relevant systems, and run the workflows that matter most, on your data, in your environment. You see the outputs (underwriting, variance commentary, a covenant forecast, a draft investor letter) and we validate the calculator's numbers against what actually happened. It is the fastest way to de-risk the decision.
Weeks, not quarters. We sit on top of the systems you already run rather than ripping and replacing them, so onboarding is about connecting and normalizing, not migrating. One client brought its whole book, 700 assets, onto the platform without a migration.
Either, depending on how you prefer to account for it. We can structure pricing per seat for internal recharging, or as a departmental flat fee for a centralized budget. Same capability, different accounting treatment, and never a model that penalizes you for broader adoption.
You can self-host inside your own cloud or on-premise environment, and your data never leaves your tenant or trains any model. Deployment shape is part of the scoping conversation; see the security and governance page for the full picture.
Get a pricing model built for your firm.
Tell us your stack and your seats. We'll model the ROI line by line, then walk you through a live environment shaped like your portfolio.