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Godela is the frontier of AI for the physical world.

Our models learn the laws of the physical world at every scale, from a single component to the universe itself, unlocking discoveries that once took lifetimes.

Godela | Data center cooling optimization
What happens if I increase the airflow velocity in rack zone 3 by 15%?
Increasing airflow velocity by 15% in zone 3 reduces peak temperature by 4.2°C but creates a pressure differential with zone 4. Recommended: redistribute 8% of total airflow for uniform cooling.
Optimize for lowest peak temperature across all zones while keeping total airflow constant.
Optimized. Peak temp reduced from 72.1°C → 64.8°C by redistributing airflow: Z1 +3%, Z2 −5%, Z3 +12%, Z4 −10%. No zone exceeds 66°C.
Show me the top 5 configurations ranked by cooling efficiency.
Ranked by cooling efficiency (W/°C):
1. Config 847: 18.4 W/°C · peak 63.2°C
2. Config 1203: 17.9 W/°C · peak 64.1°C
3. Config 592: 17.6 W/°C · peak 64.8°C
Ask a question about your system...
Thermal distribution · Zone 3 · Config 847
85°C65°C45°C
x: 0.00 → 1.20m
y: 0.00 → 0.80m
Δt: 0.8s
What We Do

We're creating AI that understands how the world actually works.

Godela | Model training + inference
01 · Train

Upload simulation data → Godela trains a physics-constrained model on your system's governing behavior

dataset: rack_cooling_cfd_v4.h5 · 2,400 simulations · 12 parameters
02 · Explore

Ask what-if questions: change airflow, geometry, materials, and more. Get physics-accurate answers in seconds

query: "increase airflow zone 3 by 15%" · inference: 0.8s
03 · Optimize ★ Best

Converge on the optimal configuration.

4,200 configs evaluated · 18 min · peak temp ↓ 10.1%

Godela learns the physics of your system from your existing data, then predicts system behavior with solver-level accuracy in seconds instead of days. Months of R&D turn into minutes with Godela.

Applications

Godela's physics AI is for every physical domain.

Solve engineering problems faster with AI that understands real-world physics.

Data Center Thermals

Design entire thermal environments in seconds.

Query rack layouts, airflow, and recirculation, and see system-wide behavior instantly.

Electronics Cooling

Model heat transfer from component to system.

Explore thermal behavior across assemblies and see design tradeoffs in real time.

Aerodynamics

Predict drag and lift directly from geometry.

Query pressure fields across any design, and iterate at the speed of thought.

Electromagnetics

Design magnetic fields before you prototype.

Model coils, transition zones, and flux densities, and optimize performance without building hardware.

Structures

Predict stress and failure without running FEM.

Understand how structures respond to loads, materials, and geometry, and iterate designs instantly.

Build Your Own

Turn any physical system into a model you can query.

Start from a question, a geometry, or a scenario. Godela builds a physics-native model you can simulate, probe, and optimize.

Working at Godela

We're at the intersection of physics and AI, building tools that change how humanity designs the physical world.

Godela team member
Godela team member
Godela team member
Godela team member
Godela team member
Godela team member
Godela team member
Godela team member
Godela team member

Godela's team brings together Stanford and MIT trained physicists, ML researchers, and engineers building a new class of AI. We're developing models that understand the principles governing physical systems.

If you want to work at the frontier of AI for the physical world, where your work shapes how humanity understands and engineers reality, we'd love to hear from you.

Contact us

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