Your spatial
reasoning layer for
every asset decision.

Public capital is usually allocated by mandate and precedent, not by where it returns the most liveability. Onthology scores districts on spatial ROI and ranks them, each result resolved against the city's own data and traceable to source. Allocation becomes a ranked, evidence-backed decision a council can stand behind — in minutes, not weeks.

1. You hold a hypothesis: some districts return far more than others.
2. DBF generates and ranks investment scenarios against performance criteria.
3. You sign off on a ranked option with an evidence chain showing why each district places where it does.

A density target is set, signed, and treated as the decision. But the same target delivered through different street and block configurations produces wildly different lived outcomes — in traffic, school access, and green space. Onthology generates ranked spatial scenarios for how to deliver it, each scored against those competing criteria and traceable to source — in minutes, not weeks.

1. You hold a hypothesis: the density works if the configuration is right.
2. DBF generates and ranks configurations against performance criteria and hard constraints.
3. You sign off on a ranked option carrying its evidence chain.

Commercial investment concentrates where demand is already proven, which means the underserved catchment stays invisible and unbuilt. Onthology reasons over population, access, existing provision, and movement to surface those gaps, returning ranked scenarios for where new amenity is supportable, each traceable to source — in minutes, not weeks.

1. You hold a hypothesis: some underserved districts can carry amenity others can't.
2. DBF generates and ranks candidate districts against performance criteria and hard constraints.
3. You sign off on a ranked option with an evidence chain back to the signals behind it.

A site-capacity question usually comes back as a single yes or no — which hides the more useful answer. The real output is the set of layouts that actually clear every hard constraint: power, cooling, access, setbacks. Onthology returns ranked spatial scenarios that satisfy each constraint, every option traceable to source — in minutes, not weeks.

1. You hold a hypothesis: this site can carry the facility.
2. DBF generates and ranks layout scenarios against hard constraints and performance criteria.
3. You sign off on a ranked option with an evidence chain back to the constraints it clears.

Power and process load are usually checked late, treated as engineering inputs after the layout is sketched. But on an EV or battery plant they're the constraint that decides the entire footprint — checked late, they force expensive rework. Onthology treats power and process load as primary spatial constraints from the start, returning ranked scenarios that carry the load, each traceable to source — in minutes, not weeks.

1. You hold a hypothesis: this parcel can carry the plant.
2. DBF generates and ranks layout scenarios against hard constraints and performance criteria.
3. You sign off on a ranked option with its evidence chain.

A hospital's department layout is usually settled as an architectural decision, then lived with operationally for decades — paid for in every extra step staff and patients take, every shift. Onthology treats layout as the operational decision it is, generating ranked scenarios that cut travel distance while holding every clinical adjacency rule, each option traceable to source — in minutes, not weeks.

1. You hold a hypothesis: a better layout exists that respects the clinical rules.
2. DBF generates and ranks layouts against hard constraints and performance criteria.
3. You sign off on a ranked option carrying its evidence chain.

The buildable envelope gets estimated as floor-area ratio times site area, then trimmed by hand for setback and shadow rules — and the by-hand answer is always conservative, leaving units on the table. Hikari solves FAR, setback, and shadow regulation against each other at once, returning ranked scenarios for how many units actually fit, each traceable to the regulation behind it — in minutes, not weeks.

1. You hold a hypothesis: the site carries more units than the by-hand number suggests.
2. Hikari generates and ranks unit configurations against hard constraints.
3. You sign off on a ranked option with an evidence chain back to each rule it satisfies.