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

Real-World Applications

The first production applications running on top of our core model.

Valuation
Broker

Are there changes that could impact this asset's value over the next 3 years?

GEOLAVA

If the adjacent tower is constructed at the proposed height, shadow exposure and view corridor loss may reduce the property valuation by up to 18%

NOI Risk
7 %
NOI Potential
12 %
Energy Cost
$23,100
Retail Revenue
$43,123
STATE TRANSIT
AUTHORITY DIRECTOR

Can this river crossing safely support a 45% increase in heavy freight traffic over the next year?

GEOLAVA

No. Our causal engine detects hidden failure signals beyond standard inspections. Critical bearing failure is projected within 14 months.
Key risks:
· Rollers exceeding limits.
· Columns twisting under heavy loads.
· Currents eroding foundation soil.

Failure Horizon
14 Months
Bearing Load Capacity
38 % Margin
Base Pier Lateral Driftost
4.2 MM/Deflection
(ACE) LOGISTICS COMMANDER

Can this civilian airstrip withstand more heavy cargo landings and high-temperature takeoffs without structural failure?

GEOLAVA

No. Our causal engine monitors severe thermal and structural breakdowns below the surface. High-temperature vertical propulsion downblasts have superheated asphalt 15 cm deep, surpassing safety limits. Meanwhile, new crater patches are shifting under incoming aircraft weight. More than 3 vertical takeoffs will cause structural failure, damaging the runway and creating debris hazards for your fleet.

Thrust Capacity
Max 3 Events
Thermal Load
68 % Above Margin
Structural Integrity
41 % Load Retention
Breakout Risk
91 % Next 24h

Real-World Applications

The first production applications running on top of our core model.

Investment

Broker

Are there changes that could impact this asset's value over the next 3 years?

GEOLAVA

If the adjacent tower is constructed at the proposed height, shadow exposure and view corridor loss may reduce the property valuation by up to 18%

NOI Risk
7 %
NOI Potential
12 %
Energy Cost
$23,100
Retail Revenue
$43,123
Valuation

Defense

(ACE) LOGISTICS COMMANDER

Can this civilian airstrip withstand more heavy cargo landings and high-temperature takeoffs without the asphalt cracking?

GEOLAVA

No. Our causal engine monitors severe thermal and structural breakdowns below the surface. High-temperature vertical propulsion downblasts have superheated the asphalt 15cm deep, surpassing safety limits. Meanwhile, new crater patches are shifting under the weight of incoming aircraft. More than 3 vertical takeoffs will lead to structural failure, damaging the runway and creating a debris hazard for your fleet.

Thrust Capacity
Max 3 Events
Thermal Load
68 % Above Margin
Structural Integrity
41 % Load Retention
Breakout Risk
91 % Next 24h

Infrastucture

TRANSIT AUTHORITY DIRECTOR

Can this river crossing safely support a 45% increase in heavy freight traffic over the next year?

GEOLAVA

No. Our causal engine detects failure signals invisible to standard inspections. Current projections indicate critical bearing failure within 14 months.
Key risk factors:
· Rollers beyond safe limits.
· Concrete support columns twisting under heavy vehicle loads.
· River currents eroding the soil supporting the bridge foundations.

Failure Horizon
14 Months
Bearing Load Capacity
38 % Margin
Base Pier Lateral Driftost
4.2 MM/Deflection
product options

Ready out of the box. Custom when you need it

Workbench Access

Query the live world model through an institutional interface for analysts, operators, and decision teams

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Infrastructure Access

Usage based model inference, live state embeddings, and private deployment inside institutional systems

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Live State
Embeddings
Model
nference API
Private
Deployment
Ready to go

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