Standard Physics
Standard Physics provides Agentic CFD, a GPU-accelerated computational fluid dynamics platform where AI agents automate simulation workflows from plain-language descriptions. The Reynolds agent writes and runs complete cases, while the Archimedes agent explores thousands of design layouts automatically, with the solver achieving up to 830x speedups over CPU alternatives.
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Traditional computational fluid dynamics (CFD) simulations require extensive manual setup, meshing, and solver configuration, making them time-intensive and accessible only to specialized engineers. Design exploration is particularly costly, as each geometry variation demands full manual reconfiguration and computational resources that limit iteration speed.
Solution
Agentic CFD provides GPU-accelerated CFD software that uses AI agents to automate the entire simulation workflow. Users describe a flow in plain words, and the Reynolds agent writes the case, runs the solver, and returns figures and numbers along with a rerunnable case. The Archimedes agent explores thousands of layouts automatically, simulating each through Reynolds and retaining designs that physics reward. An additional Inviscid AI module monitors live telemetry to hold data centers within thermal limits in real time. The underlying solver solves the full Navier-Stokes equations on GPU rather than approximating physics with machine learning, achieving up to 830x speedups over CPU solvers.
Target Audience
Primary users include mechanical, aerospace, and thermal engineers performing CFD simulations, as well as data center operators needing real-time thermal management.
Features
- Plain-language interface for describing flows and automatically generating complete simulation cases
- GPU-accelerated solver solving Navier-Stokes equations for coupled fluid and heat transfer problems, up to 830x faster than CPU alternatives
- Archimedes design-search agent that proposes geometries, simulates each via Reynolds, and iteratively optimizes based on physical rewards
- Inviscid AI real-time thermal control module that adjusts cooling output from live telemetry to maintain setpoint temperatures
- Open-source codebase under MIT license with published validation studies (e.g., Kovasznay flow) confirming numerical accuracy