AI-Native Infrastructure for Real-Time Digital Twins

Accelerate simulation, design, and control with scientific machine learning and physics-based surrogates

  • MASSIVE SPEEDUPS!

    Run simulations 10,000× faster with neural surrogates

  • AI-NATIVE ARCHITECTURE

    Purpose-built for PDE-based AI models with full-stack automation

  • CUSTOMIZABLE INTELLIGENCE

    Tailor every model to your physics using FNOs, DeepONets, and GNNs

How It Works

  • Set up governing PDEs or import geometry from CAD/TCAD environments.

  • Run massive simulations across parameters using high-performance solvers.

  • Build scalable FNO/DeepONet models on GPU clusters with auto-tuning.

  • Expose inference via API endpoints or in control systems/UIs.

CASE STUDIES

TOPOLOGY OPTIMIZATION

Used neural operators to accelerate structural optimization for lightweight components by over 1,000×.

MATERIAL DESIGN

Discovered optimal material microstructures with desired thermal/electrical properties using PDE-driven AI exploration.

OFFSHORE ASSET MANAGEMENT

Deployed real-time monitoring models on subsea structures for predictive maintenance and anomaly detection.

SMART CONSTRUCTION

Enabled adaptive control in construction equipment and materials tracking using physics-informed digital twins.

Industries we serve

  • Semiconductor generative design

    SEMICONDUCTORS

  • satellite space station

    AEROSPACE

  • Advanced Manufacturing

    MANUFACTURING

  • ocean climate

    ENERGY & CLIMATE

Get in touch.

Experience the innovation in physical-AI solutions with S2 Labs. Reach out to our team of AI solution architects, product managers, data scientists, and enterprise architects to bridge the gap between AI hype and reality. Choose us for cutting-edge technology and strategic insights.