DESIGN, PREDICT AND OPTIMIZE AHEAD OF THE CURVE
Scale AI Across Engineering Programs
Fine Physics brings together complementary technologies that transform how engineering teams work—from design and simulation to performance prediction and AI-driven decision-making.
Physics-Driven Prediction at Scale
Move from slow, sequential simulation to real-time prediction.
- Train models on high-fidelity engineering data.
- Predict performance in seconds instead of hours.
- Evaluate orders of magnitude more design variations than conventional methods.
- Reduce engineering time spent on data preparation by 60-80%, accelerating AI adoption.
- Enable reusable engineering datasets, eliminating repeated analysis across programs.
- Incorporate electromagnetic (EM) and multi-physics effects into predictive models, improving system-level accuracy without additional simulation cycles.
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High-Fidelity Simulation at Speed
Run advanced simulations faster and more efficiently without large HPC clusters.
- Execute production-scale simulations on desktop or cloud GPUs.
- Reduce turnaround time from weeks to days.
- High-fidelity aeroacoustic simulations run without supercomputing infrastructure.
- Automotive simulations completed in ~1 day on desktop GPUs.
- Billion-scale aircraft simulations run on a single cloud node for under $1000.
- High-fidelity aeroacoustic simulations run without supercomputing infrastructure.
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System-Level Design and Integration
Design and validate complete systems—not just components.
- Predict integrated energy storage and thermal system behavior early in the development cycle.
- Optimize battery architecture and thermal performance for efficiency, lifespan, and reliability.
- Validate system-level tradeoffs across design, performance, and cost faster than conventional methods.
- Prevent late-stage surprises. Make better system-level decisions earlier in the development cycle.
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Physics-Driven Design Optimization
Discover better designs faster with physics-based generative design.
- Automatically generate high-performance designs.
- Explore broader design spaces faster than conventional methods.
- Optimize thermo-fluid systems and components for performance, efficiency, and manufacturability.
- Reduce manual iteration and engineering rework.
- Reduce design iteration cycles from weeks and days to hours and minutes.
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Electromagnetic and Multi-Physics Systems
Gain actionable insights into EM and electrostatic behavior faster than legacy solvers.
- Improve signal integrity and system performance.
- Simulate EM interactions across components and systems faster than legacy solvers.
- Reduce risk in advanced electronic systems, ensuring reliability.
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Engineering Data Infrastructure for AI at Speed and Scale
Companies are seeking better returns from their AI investments. What they’re missing is infrastructure that makes engineering data usable, scalable, and AI-ready.
- Connect simulation, testing, production, and operational data.
- Create physics-aware datasets with full context.
- Automate workflows and ensure repeatability.
- Enable AI across the engineering lifecycle.
- Structured engineering data pipelines.
- Workflow automation and dataset versioning.
- AI-ready datasets for predictive modeling and analysis.
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Fine Physics
Next-level technologies that deliver the full promise of AI for engineering—without the risk.
Better Technologies, Better Licensing, Better Outcomes
Break free from the limits of conventional design and simulation platforms. Discover how Fine Physics technologies can transform your engineering programs. All technologies are available through simple, transparent licensing.
No gimmicks. No barriers. No vendor lock-in.
The Fine Physics Impact
Automotive and Mobility
Design, validate, and optimize next-generation vehicles faster.
- Accelerate aerodynamics development, reducing drag.
- Optimize thermal systems, battery performance, and energy efficiency.
- Improve vehicle NVH and aeroacoustics.
- Enable AI-driven design exploration across vehicle platforms.
Aerospace and Defense
Improve performance, reduce cost, and accelerate development of advanced aircraft and propulsion systems.
- Optimize lift, drag, and overall aerodynamic efficiency.
- Simulate high-lift and complex flow conditions.
- Improve propulsion system performance and noise reduction.
- Enable faster validation of design changes.
Energy and Power Systems
Design more efficient, reliable, and scalable energy systems.
- Optimize battery systems and energy storage architectures.
- Improve thermal management and system efficiency.
- Simulate fluid flow and heat transfer in energy systems.
- Enable predictive modeling throughout the system lifecycle.
Electronics and High-Tech
Design high-performance electronic systems with confidence.
- Improve electromagnetic performance and signal integrity.
- Reduce interference and electrostatic risks.
- Optimize system-level performance across components.
- Enable faster iteration and validation cycles.
Consumer Packaged Goods (CPG)
Accelerate product innovation and improve performance in high-volume markets.
- Optimize airflow, filtration, and fluid behavior in products.
- Improve energy efficiency and product performance.
- Reduce development time for new product variants.
- Enable data-driven product design decisions.
Manufacturing
Optimize production systems and improve quality across high-volume operations.
- Analyze process parameters to improve yield and consistency.
- Identify root causes of defects, reduce scrap, and improve overall equipment effectiveness through production analytics.
- Enable continuous improvement using structured data pipelines and automated workflows.
Where Physics Meets AI
Fine Physics brings engineering teams solutions to scale AI across programs, reduce development cycles, and make better decisions—faster.
Discover where your company can gain competitive advantage.
