Predictive Physical AI
for the Industrial Enterprise.
Legacy Systems Are Holding Back
Industrial Innovation
Modern infrastructure is too complex for static algorithms. Supply chain collapses and manufacturing inefficiencies cost the global economy $4 Trillion annually.
We deploy Agentic AI models that understand physics, spatial computing, and real-time logistics to predict and autonomously resolve bottlenecks before they happen.
Engineered for Massive Scale.
Our proprietary 70B+ parameter multimodal physical AI models require massive parallel processing and ultra-low latency spatial computing. To maintain real-time synchronization across global digital twins, our PyTorch-based inference engine relies exclusively on 8-GPU Blackwell clusters. We utilize multi-node g7e.48xlarge infrastructure paired with 1600 Gbps Elastic Fabric Adapters (EFA) to ensure zero-latency GPUDirect P2P communication across 768 GB of VRAM.
Transforming Industrial Operations at Scale
Deploy autonomous AI agents that understand the physical world and optimize operations in real-time.
Autonomous Factory Routing
Real-time optimization of production line logistics using predictive physical simulations. Reduce throughput bottlenecks by 47% while minimizing equipment wear.
Predictive Climate-Resilience for Logistics
Anticipate weather-induced disruptions weeks in advance. Our multimodal twins integrate meteorological data with supply chain topology for autonomous rerouting.
Real-time Spatial Computing for Robotics
Enable warehouse robotics to operate with centimeter-precision in dynamic environments. Physical AI predicts human movement and adapts paths in real-time.
Built by Industry Veterans
Founded by AI researchers and industrial engineers. Backed by leading startup accelerators. We are on a mission to bring true physical AI to heavy industry.