Godela
ActiveAI Physics Engine to replace simulations and prototypes
About
What if every experiment you wanted to run could be modeled using AI? Godela is an AI-powered physics engine that gives engineers faster, cheaper replacement to simulations and physical prototypes. No set up, no wait. Just ask—and get simulation quality result.
Godela provides AI-powered physics intelligence that learns the laws of the physical world to predict and optimize real-world systems. It enables users to train physics-constrained models from their data, query what-if scenarios, and optimize configurations with solver-level accuracy in seconds.
Godela trains physics-constrained models from a user’s data (e.g., simulations and measurements), then supports rapid inference to answer what-if questions (changing airflow, geometry, materials) and optimize configurations to achieve desired outcomes. The workflow includes uploading data, training a physics-aware model, performing exploratory queries, and running optimizations that evaluate thousands of configurations to converge on optimal behavior, with results provided in seconds instead of days.
Who it’s for: Engineers and researchers who design or operate physical systems that involve thermals, electronics cooling, aerodynamics, electromagnetics, and structural analysis; teams needing fast, physics-accurate predictions from existing data without building new hardware.
- Train physics-constrained models from existing data
- What-if exploration for airflow, geometry, and materials
- Solver-level accuracy in seconds
- Optimize configurations across multiple parameters
- Query and visualize system-wide behavior
- Build Your Own models from any physical system
YC backing mentioned; mentions pilot program and team with academia connections, indicating early traction and fundraising signals
Founders · 2
Built laptops and iPads at Apple. Built AI products for Google. Now building Godela—AI that models the physical world, for engineers and scientists everywhere.
Researched physics-driven optimization at Harvard and generative models for fluid mechanics at Stanford. Built surrogate models for semiconductor manufacturing at Intel. Now building Godela - giving engineers and scientists their own AI model for physics.
Launch
Bringing AI powered intelligence to the physical world
Godela launches an AI-powered physics engine that turns engineering questions into computable, physics-informed models. It accepts natural language or data, supports CAD and existing results, and provides instant, simulation-quality insights to accelerate design and iteration for engineers.
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