SandboxAQ

Jack Hidary sat down with Anastasios “Tassos” Economou during WEF 2026 to chat about GPS disruptions and how new AI-powered systems are using Earth’s magnetic field as a backup, enabling navigation without GPS. Discover SandboxAQ’s work in this space: https://lnkd.in/gQtBbunk

Millions of patients each year arrive in emergency departments with chest pain, and too many land in a diagnostic gray zone. In a recent fireside chat, Jeffrey Bander, MD, Chief of Cardiology at Mount Sinai West, shares how magnetocardiography (MCG) is poised to change that. By measuring the heart’s magnetic signals, MCG offers a non-invasive way to detect cardiac events earlier, reduce unnecessary admissions, and improve emergency department workflows—producing more accurate, undistorted 3D maps than ECG-based approaches and revealing physiological phenomena not captured by traditional EKGs. "The revolutionary part to me, as a cardiologist, is the ability to create an accurate 3D map of heart physiology, which EKG really can't do." Dr. Bander also discusses ongoing research with SandboxAQ in one of NYC’s busiest ERs and what this technology could mean for the future of cardiovascular care. With advances in AI simulation and large quantitative models, the next generation of cardiac diagnostics is already taking shape: https://lnkd.in/eNZtSkK9 To learn more about MCG and the AQMed team, visit our website at: https://lnkd.in/eAgjJArU

After decades of research, there is still no breakthrough treatment for Alzheimer’s or dementia. These diseases continue to impact nearly every family as populations age. At the same time, heart disease remains the leading cause of death globally, despite advances in drugs, diagnostics, and prevention. Jack Hidary speaks about the new direction emerging: using advanced AI models trained in biology, chemistry, and physics to simulate how drugs interact with the human body before they ever reach clinical trials. Learn more: https://lnkd.in/ekrxgDwb

Thank you for the share Quantum Catalyzer (Q-Cat). Rethinking the EKG takes bold innovation, and that is exactly what we are doing with CardiAQ. By unlocking earlier detection through magnetic field sensing, this approach could meaningfully shift how we monitor and manage heart health.

Traditional pipelines for drug and materials discovery are no longer keeping pace with the world’s needs. At SandboxAQ, General Manager of AI Simulation Nadia Harhen and her team are advancing a new approach powered by Large Quantitative Models (LQMs). By combining AI simulation with deep understanding of biology, chemistry, and physics, LQMs are enabling breakthroughs across cancer research, Parkinson’s disease, battery chemistry, catalysts, and critical materials. This interdisciplinary work, spanning physicists, chemists, computational biologists, and engineers, is redefining how scientific discovery happens. Learn more about our real-world impact in AI simulation: https://lnkd.in/d-bxegS5 Explore more about our work: https://www.sandboxaq.com/ Join us: https://lnkd.in/gtqq8pxx

This recent conversation shows how AI can materially reduce the cost and risk of scientific discovery. Franck Zal, CEO of HEMARINA, discusses how 90% of new drugs fail to pass clinical trials and how AI can potentially save researchers billions by simulating drug compounds and optimizing their properties. At SandboxAQ, we’re seeing this firsthand through our work with partners like University of California, San Francisco and Sanofi. By combining large-scale computation with quantitative models and physics-based datasets, biopharma researchers can conduct the bulk of R&D in silico and reduce the time, cost and risk of pursuing the wrong path. Watch the clip below and read more here: https://lnkd.in/ekrxgDwb

At The Wall Street Journal Opinion Live in Washington, D.C., our CEO Jack Hidary joined Paul Gigot to discuss the next frontier of AI: Large Quantitative Models (LQMs), and the wide breadth of impact these models will have in the future. From energy to finance, the world’s hardest problems are quantitative. Today, less than 2% of clean energy produced can actually be stored, a massive bottleneck in scaling sustainable infrastructure. Solving this requires breakthroughs in materials science, chemistry, and physics, all areas where LQMs are uniquely suited to accelerate discovery. In financial services, LQMs enable more precise risk curve simulations, helping institutions better understand uncertainty, optimize capital allocation, and navigate increasingly complex markets. This is AI grounded in reality and built to solve the world’s most critical challenges. Watch the full conversation below: https://lnkd.in/dymgJyXr

One of our biggest wins this quarter: leading the shift from model-first thinking to data-first AI strategy. In this interview with Bill Fitzgerald, Jesús Mantas, a board member for Biogen & IFF, compares AI to a jet engine and says organizations must invest heavily in creating data pipelines to fuel the plane and get the most out of their AI implementations. At SandboxAQ, we've already done this foundational work, creating and open-sourcing novel scientific datasets that accelerate R&D for drug discovery (SAIR), catalysts (AQCat25), and the newest batteries with AQVolt. Paired with Large Quantitative Models (our AI "engine"), organizations across numerous industries are achieving new scientific breakthroughs that were previously impossible. AI is only as good as the data that powers it. Visit SandboxAQ to learn how our datasets are fueling innovation in biopharma and materials science: https://www.sandboxaq.com/ Learn more about how we are accelerating solid-state battery discovery in our upcoming webinar: https://lnkd.in/dPZhKTNv

Honored to be recognized in the 2026 Artificial Intelligence Excellence Awards. At SandboxAQ, we’re focused on advancing #QuantumAI to deliver real-world impact across healthcare, materials science, navigation, and cybersecurity. Grateful to see our hard work acknowledged. https://lnkd.in/dk94kTrA

Is Q-Day closer than we think? Historically, quantum error correction has been heavily constrained by physical hardware limits. But a major shift is underway. Neutral-atom (Rydberg) architectures allow qubits to be moved and connectivity to be dynamically reconfigured—removing the local-only constraints that surface codes depend on. This opens the door to LDPC codes, which dramatically improve the logical-to-physical qubit ratio. The impact: 👉 Fewer qubits required 👉 Faster computations 👉 Shorter stability windows This architectural shift may redefine the need for post-quantum cryptography. Read more on the AQtive Guard site: https://lnkd.in/dK8mMcpx