PHYSIA trains and governs physics-informed models in a sovereign AI data center, then executes them beside your assets on FPGA — cutting repeat GPU work, uplink traffic and decision latency at once.
One delivery: process knowledge, physics-informed models, FPGA-based edge inference and sovereign AI infrastructure — with a defined control boundary for data, keys and administration.
A PINN fits measured data while enforcing the equations, limits and regularity your equipment must obey — an estimator, not a black box.
Compact, signed models are quantized, pruned and mapped to FPGA chips beside the asset — low latency, less raw-data movement, purpose-sized hardware.
A governed AI data center trains, validates, signs, monitors and distributes approved model versions — with residency, key custody and audit.
Map the asset, process physics, failure modes and the decision worth automating.
Fit observations while enforcing equations, operating limits and regularity constraints.
Optimize and deploy the validated PINN on FPGA for repeat local inference.
Train, validate, sign, monitor and distribute approved model versions centrally.
The new-generation AI data center technology: physics-informed neural networks that reduce repeat estimation work — trained, validated and governed centrally in a sovereign AIDC, executed locally on FPGA edge accelerators. Open models, no third-party per-token fees.
Since 2008, Riyadh. Patented WiMESH / HyMESH mobile networking — 600 Mbps, 10 km per hop, seamless handover above 350 km/h — serving cities, governments, militaries and industry across 15+ countries, validated with stc, SAMI, NEOM, Red Sea Global and Aramco Gulf Operations.
More than a traditional technology services provider: DeepTech develops its own AI-driven solutions, platforms and proprietary technologies for real-world industrial sectors — cybersecurity, maritime digital systems, agriculture AI, environmental intelligence and telecom sensing. By building and owning defendable IP — 50+ patents, 200+ publications — DeepTech creates scalable innovations others cannot easily replicate.
Illustrative unit economics on the new-generation pattern: the edge handles repeat inference, the AIDC focuses on training and complex work.
A PINN estimates flow state and pressure drop from local signals at a remote station, flags patterns outside the validated envelope — and keeps raw telemetry on site.
Vibration, temperature and process load combine into an early pump-degradation estimate — prioritized maintenance routes, decided at the edge without a round trip.
A thermal PINN estimates process state between direct measurements, flagging zones associated with rework or rejection before the build is lost.
Load, temperature, vibration and duty-cycle context produce a local condition estimate — service scheduling that keeps working even with weak connectivity.
A selection of partners and clients across the three mother companies — from European industry and Saudi giga-projects to global institutions.
A distinguished Saudi entrepreneur and legal expert, Dr. Althubetee holds a PhD in Law and brings over 15 years of experience in the banking and real estate sectors. She is the founder and owner of several companies operating in technology, construction, and professional services. An active member of the Orphans Association and a passionate admirer of art and fashion, Dr. Hanan represents the new generation of visionary Saudi women leading with intellect, creativity, and purpose.
A seasoned Chief Business Officer with a PhD in Explainable Artificial Intelligence and Human-in-the-Loop: A Framework for Trustworthy, Transparent, and Accountable Systems, MBA, with a wealth of experience in venture capital and private equity. His expertise spans digital payments, cryptocurrency, and the Food & Beverage industry. Emam holds a Law degree and is a licensed high court lawyer across the Arab world, as well as a member of Arab Lawyer Associations. Renowned for his legal acumen, he serves as a trusted advisor and intermediary for international companies, leveraging his skills in international commercial arbitration, diplomatic relations, and conflict resolution. His meticulous market analyses and extensive networks make him a sought-after strategist for global brand expansion.
We benchmark the physics-aware edge architecture against your current baseline on the same workload — model error, GPU-hours, energy, and end-to-end unit economics.