Analog Physics Inc.

AI supercomputing drives next‑generation models and autonomous systems. 👇 These startups deliver cutting‑edge hardware, software, and infrastructure for high‑performance AI workloads. Here are 10 innovators shaping the future of AI computation. ✅ Clussys — Shanghai‑based startup building high-speed GPU/CPU interconnects for efficient multi-node AI clusters. ✅ Analog Physics Inc. — Montana startup developing quantum AI processors for real-time, mathematically exact inference. Leadership: Lisa Wood (CEO & Co-Founder), Lars Wood (CSO & Co-Founder) ✅ SHARON AI— Sydney company offering GPU-as-a-service with liquid cooling and high-speed networks for scalable AI workloads. Leadership: Wolf Schubert(CEO) ✅ NcodiN — Paris-based startup creating photonic interposers for ultra-low-latency, energy-efficient chiplet communication. Leadership: Francesco Manegatti, PhD (Co-Founder & CEO), Bruno Garbin(Co-Founder), Fabrice Raineri(Co-Founder & CSO) ✅ Flow Computing — Helsinki startup providing parallel processing units that boost CPU throughput for AI without code changes. Leadership: Timo Valtonen (CEO & Co-Founder), Martti Forsell, PhD (CTO & Chief Architect & Co-Founder) ✅ PureNodal— Texas startup deploying liquid-cooled, software-defined nodes for distributed AI-HPC cloud computing. Leadership: Drew Hilles (CEO) ✅ aion— New York company turning idle GPU resources into blockchain-secured, tradable compute capacity. Leadership: Jinius Tu (Co-Founder), Matthew Spoke (Co-Founder) ✅ Invigion Technologies India Private Limited — Bangalore startup delivering photonic accelerator cards for faster, energy-efficient AI matrix operations. Leadership: Raghavendra S. (Co-Founder) ✅ WAIYS — Oslo company building high-density, liquid-cooled modular supercomputing containers for megawatt-scale AI workloads. ✅ Nscale— London startup offering bare-metal GPU hyperscaler services with serverless inference APIs and renewable-powered data centers. Leadership: Josh Payne(CEO) These startups combine hardware, software, and cloud innovation to accelerate AI at scale worldwide. Full article by StartUs Insights here: https://lnkd.in/daPzs2eK #startups #ai #innovation #computing

QAINET® Quantum Cloud — Operationalizing Quantum at the Edge Overview Developed by Analog Physics Inc., QAINET® is a next-generation quantum operating system for autonomous drone swarms, designed for dual-use applications in defense, infrastructure, smart cities, and public safety. It integrates Quantum Error Prevention (QEP) with physics-based, deterministic AI, eliminating the need for traditional neural network training and enabling reliable, explainable, and scalable autonomy. Breakthrough: Quantum Error Prevention (QEP) Conventional quantum computing relies on error correction, but Analog Physics focuses on prevention. QEP stops quantum errors before they occur, converting exponential computational complexity into linear scalability. This enables over 1,000 concurrent drone behaviors with sub-millisecond decision response, dramatically surpassing today’s AI-driven systems limited to fewer than 10. Core Capabilities Deterministic, Explainable AI — Same inputs always produce the same outputs, ensuring mission auditability and compliance. Hybrid Quantum + Vulkan GPU Architecture — Merges quantum computing efficiency with GPU real-time responsiveness. Self-Organizing Swarm Logic — Modeled after bees, ants, and birds, ensuring collective resilience (“That Ant Died” continuity). No Data Training Required — Operates by obeying the laws of physics, not by statistical prediction. Fully Auditable & Certifiable — Supports FAA BVLOS and Department of War mission standards. Performance Metrics 100% detection of small weaponized drones (sUAS) 95.8% accuracy across diverse drone platforms Operates in extreme weather using mmWave radar Under 50 milliseconds decision latency Physics-aware detection and tracking even in degraded visual environments Applications Defense & Security: Early threat detection and “Left of Launch” neutralization. Infrastructure: Autonomous inspection, maintenance, and fault detection. Agriculture: Coordinated precision drone operations for crop monitoring and pollination. Smart Cities: Distributed surveillance and emergency response. Public Safety: Real-time disaster assessment and autonomous rescue coordination. Strategic Importance QAINET® bridges the gap between quantum computing theory and operational autonomy, embodying a new paradigm: Trustworthy Quantum AI (QAI) — physics-driven, explainable, deterministic, and mission-ready. Deployment Timeline Beta Pilots: Early 2026 AWS Marketplace Availability: Late 2026 Company Statement https://qai.ai — Analog Physics Inc. Summary QAINET® represents a quantum leap in applied autonomy — the first system to operationalize quantum computing at the edge, enabling reliable, scalable, and transparent drone intelligence. With QEP technology, it delivers real-time performance, zero data dependency, and verifiable trust for mission-critical domains worldwide. Contact: Analog Physics Inc. — QAINET® Beta Access Inquiry (Early 2026)

QAINET® Quantum Cloud — Operationalizing Quantum at the Edge Overview Developed by Analog Physics Inc., QAINET® is a next-generation quantum operating system for autonomous drone swarms, designed for dual-use applications in defense, infrastructure, smart cities, and public safety. It integrates Quantum Error Prevention (QEP) with physics-based, deterministic AI, eliminating the need for traditional neural network training and enabling reliable, explainable, and scalable autonomy. Breakthrough: Quantum Error Prevention (QEP) Conventional quantum computing relies on error correction, but Analog Physics focuses on prevention. QEP stops quantum errors before they occur, converting exponential computational complexity into linear scalability. This enables over 1,000 concurrent drone behaviors with sub-millisecond decision response, dramatically surpassing today’s AI-driven systems limited to fewer than 10. Core Capabilities Deterministic, Explainable AI — Same inputs always produce the same outputs, ensuring mission auditability and compliance. Hybrid Quantum + Vulkan GPU Architecture — Merges quantum computing efficiency with GPU real-time responsiveness. Self-Organizing Swarm Logic — Modeled after bees, ants, and birds, ensuring collective resilience (“That Ant Died” continuity). No Data Training Required — Operates by obeying the laws of physics, not by statistical prediction. Fully Auditable & Certifiable — Supports FAA BVLOS and Department of War mission standards. Performance Metrics 100% detection of small weaponized drones (sUAS) 95.8% accuracy across diverse drone platforms Operates in extreme weather using mmWave radar Under 50 milliseconds decision latency Physics-aware detection and tracking even in degraded visual environments Applications Defense & Security: Early threat detection and “Left of Launch” neutralization. Infrastructure: Autonomous inspection, maintenance, and fault detection. Agriculture: Coordinated precision drone operations for crop monitoring and pollination. Smart Cities: Distributed surveillance and emergency response. Public Safety: Real-time disaster assessment and autonomous rescue coordination. Strategic Importance QAINET® bridges the gap between quantum computing theory and operational autonomy, embodying a new paradigm: Trustworthy Quantum AI (QAI) — physics-driven, explainable, deterministic, and mission-ready. Deployment Timeline Beta Pilots: Early 2026 AWS Marketplace Availability: Late 2026 Company Statement https://qai.ai — Analog Physics Inc. Summary QAINET® represents a quantum leap in applied autonomy — the first system to operationalize quantum computing at the edge, enabling reliable, scalable, and transparent drone intelligence. With QEP technology, it delivers real-time performance, zero data dependency, and verifiable trust for mission-critical domains worldwide. Contact: Analog Physics Inc. — QAINET® Beta Access Inquiry (Early 2026)

Laurence “Lars” Wood, Co-Founder of Analog Physics (QAI), is redefining the future of quantum computing. From pioneering neural network scalability in the 1980s to now leading innovations in neutral-atom quantum simulators, Lars is building systems that don’t just compute, but learn, adapt, and reasons in real time!!! Analog Physics is already solving real-world problems in defense, cyber, and autonomous systems, outperforming traditional AI with fewer false positives and faster decision-making. If you're thinking about the future of quantum, it's time to think Analog. #QuantumComputing #AnalogPhysics #DeepTech #AI #QuantumAI #FutureOfWork #EmergingTech #Leadership #Innovation

Symbolic AI is reshaping how industries make decisions—with clarity, logic, and transparency at the core. At Analog Physics, we're building systems that don’t just compute—they reason. 📖 Read how Symbolic AI is powering real-world impact across healthcare, logistics, and cybersecurity. #SymbolicAI #AnalogPhysics #AIInnovation #ExplainableAI #DeepTech Michael Pendleton LAURENCE W.

Most companies are still working with qubits. We’re already simulating 36-dimensional quantum systems. Why does that matter? More dimensions = more computational depth = real-world problem solving at quantum scale. Read the article to learn more. #QuantumComputing #AnalogPhysics #QAI #QuantumAI #DeepTech #SupplyChain #Cybersecurity #MichaelPendleton #LisaWood #QuantumInnovation #HilbertSpace #Qudits

🚨🚨Join us at AI + Expo 2025 in Washington, D.C., June 2–4, where Analog Physics will unveil the future of quantum computing for defense and intelligence. We’re not just talking about innovation — we’re deploying it! Our tech is built for real-time mission-critical environments with sub-millisecond response times. Whether UAS operations in contested airspace or AI-driven threat detection, Analog Physics sets the standard for next-gen military applications. ✅ Secure. ✅ Fast. ✅ Adaptive. ✅ Fully Deployable. Experience the tech that’s making headlines in the defense and quantum sectors. Event Link: https://expo.scsp.ai/ #AnalogPhysics #QuantumDefense #QAI #AIExpo2025 #NationalSecurity #QuantumComputing #DefenseInnovation #TechForGood #WashingtonDC #MilitaryAI

Quantum AI, Built for the Real World. While others wait for future breakthroughs, Analog Physics Inc. has built one........... A fully operational, hybrid quantum-classical system designed to solve today’s most complex challenges across supply chains, cybersecurity, healthcare, defense, and smart infrastructure. 🔒 Prevents errors before they occur 🛡️ Maintains coherence with protective quantum “bubbles” ⚙️ Adapts in real time to changing conditions 📈 Scales without the bloat “Real intelligence isn’t just reactive—it’s preventative, efficient, and secure.” — Michael Pendleton Discover how one of the world’s leading quantum companies is redefining the future—today. 👉 www.qai.ai #QuantumComputing #QAI #AnalogPhysics #FutureOfAI #AIthatWorks #QuantumErrorPrevention #DeepTech #MichaelPendleton #LisaWood #AIInnovation

🚨 Can we stop AI hallucinations before they happen? Thanks to new research combining quantum computing and neuromorphic verification, the answer is yes. This breakthrough approach uses quantum fingerprints to predict LLM hallucinations 3–7 tokens in advance—with over 82% accuracy. No extra data, no domain-specific tuning, just smarter AI that knows when it’s about to go off track. Built for healthcare, law, and research—where facts matter most. Built by Analog Physics, the leaders in Quantum-Adapted Intelligence. “We’re not just catching mistakes—we’re teaching AI to see them coming.” — Michael Pendleton, AI Engineer Read the article & explore the research: www.qai.ai #QuantumAI #LLMSafety #AnalogPhysics #AIAlignment #DeepTech #ResponsibleAI #MachineLearning #QuantumComputing #AIInnovation #MichaelPendleton #LisaWood