


Physical AI for the built world
Why Geolava
The intelligence layer that reasons over how the physical world changes and predicts failure before it happens

skylight leaks
Heavier replacement HVAC will loosen the skylight curbs, leaking onto the retail floor by Q1 2029
chimney collapse
Pile-driving next door will accelerate the chimney’s lean 4x, closing the parking lot below by Q2 2027.
curtain wall leaks
The new tower to the east will redirect wind onto this facade, driving rain behind the panels by Q3 2029
Vegetation contact
Continued unmanaged growth will bring vegetation into contact with structure in 6 months
Lane failure
60 daily haul trucks will rut this transit lane 3x faster
Green roof breach
Clogged drains will pond the next rain fall against the parapets, breaching the membrane by Q2 2030
TERRA · WORLD MODEL
Turns Observation Into Prediction Across Physical Assets
Terra, Geolava's world model for the built environment, learns how the physical world changes to predict consequential physical change before it becomes physical failure
















