Jack Hidary’s Post

The need for innovation in the treatment of Alzheimer’s is urgent. With 6.9 million people in the U.S. affected and numbers expected to double by 2060, we’re committed to accelerating the discovery of solutions to improve patients’ lives. In collaboration with the UCSF Institute for Neurodegenerative Diseases, our Large Quantitative Model (#LQM) platform has already shown remarkable results. LQMs delivered a 50x to 100x increase in hit rates — identifying many promising compounds that would have taken decades to discover with traditional tools. Read our latest blog post to learn more about how #AI is reshaping Alzheimer’s research: https://bit.ly/3TBIxzA #DrugDiscovery #HealthcareInnovation

Tribute to a great human who inspired me and gave so much to the world. Thank you Ratan for your gift of vision and shared responsibility.

In my recent profile on edge Middle East, I shared the journey that took me from building a wedding seating algorithm as a teenager to leading SandboxAQ, where we’re leveraging #AI and frontier technologies to tackle some of the world’s biggest challenges. But this isn’t just about my story — it’s about how advanced AI is unlocking breakthroughs across industries. Our Large Quantitative Model (LQM) platform is reshaping healthcare by transforming drug development and medical imaging. Quantitative AI is accelerating battery innovation to power the clean energy transition and unified cryptography management is securing critical infrastructure against evolving threats. For businesses and governments, staying ahead means embracing these technologies to drive efficiency, innovation, and impact at scale. Read the full article on edge to see how we’re building the future: https://bit.ly/3ZS98wl #Innovation #Cybersecurity #Sustainability

SandboxAQ’s Large Quantitative Model (#LQM) platform achieved a major breakthrough in battery technology — cutting the time needed to predict lithium-ion battery end-of-life (EOL) by 95%, with 35x greater accuracy and using 50x less data than traditional #AI models. By partnering with NOVONIX and leveraging their Ultra-High Precision Coulometry (UHPC) data, we’ve reduced testing times from months or years to just days. This breakthrough could shave 2-4 years off the commercialization timeline, saving millions in R&D and accelerating the adoption of next-gen energy solutions. Want to learn more? Connect with our team at #TheBatteryShow, Oct 7-10, or read the full announcement for details on how we’re revolutionizing battery technology across sectors like EVs, UAVs, and more. https://bit.ly/4dyv0ju #BatteryInnovation #EnergyStorage

With NIST’s new #PQC standards, organizations are accelerating critical #cryptography migrations — and this is the moment to rethink how cryptography is managed. It’s not just about security, but also about reducing complexity, lowering costs, and staying agile. In this video, SandboxAQ’s Graham Steel and David Joseph break down the challenges of cryptography management — covering everything from automation and key management to certificate lifecycles and encryption policies. They also tackle a critical question for leaders: how to streamline processes and cut costs while ensuring your infrastructure remains viable in the future. If you’re leading your organization’s cryptography transition, don’t miss this essential guide on how to build a secure, scalable, and cost-efficient cryptography strategy. Watch the full video here: https://bit.ly/3XZ29A8 #Cybersecurity #NIST

For nearly two years, #LLMs like ChatGPT have driven incredible innovation in the digital world, but it’s #LQMs that will transform the largest parts of the global economy. In my latest article for techUK, I explore this next evolution of #AI. I dive into how LQMs are overcoming the data deficit in drug discovery and pushing boundaries in sectors like energy and defense, where LLMs fall short. Organizations ranging from UCSF to NOVONIX and the U.S. Army are already seeing results — accelerating R&D, reducing costs, and creating safer, more efficient products. LLMs are just the beginning. The real impact comes with LQMs, and the future impact on business and society will be massive. Check out my article to learn more: https://bit.ly/3ZG6r0F #innovation #biopharma #MaterialsScience #R&D #SandboxAQ #FutureOfAI

As we recognize World Alzheimer’s Month, the need to accelerate breakthroughs in treating neurodegenerative diseases is clearer than ever. AQBioSim is doing just that — dramatically shortening drug discovery timelines and driving success in fields like Alzheimer’s and oncology. In this video, Nadia Harhen and Andrea Bortolato discuss how AQBioSim is revolutionizing drug discovery with technologies like binding affinity prediction, generative AI, and advanced protein folding methods. These tools are transforming R&D, helping deliver life-saving treatments to patients faster. Watch the full video to see how we’re shaping the future of biopharma: https://bit.ly/3XJcSgG #WorldAlzheimersMonth #DrugDiscovery #AI #NeurodegenerativeDiseases #Biopharma #AQBioSim

In honor of World Alzheimer's Month, I had the pleasure of joining CNBC's Money Movers alongside SandboxAQ investor Jim Breyer to discuss how #AI Simulation is accelerating breakthroughs in #healthcare. At SandboxAQ, we're using large quantitative models (LQMs) to drastically cut down #DrugDiscovery timelines — bringing treatments for diseases like Alzheimer's from lab to clinic in a fraction of the time. Working with partners like NVIDIA, we've made significant progress, identifying key compounds for Alzheimer's in under 18 months, with plans to enter clinical trials in just 6-7 months. This is a major leap forward in the fight against neurodegenerative diseases. Catch the full segment to hear more about how AI and quantum technologies are reshaping the future of healthcare. https://bit.ly/3TDYepN #WorldAlzheimersMonth

Our breakthrough collaboration with NVIDIA is pushing the boundaries of what's possible in computational chemistry. In a recent Fierce Electronics interview, Nadia Harhen, GM of AI Simulation at SandboxAQ, discussed how our Large Quantitative Models (#LQMs), paired with NVIDIA’s cutting-edge technology, are revolutionizing the discovery of new materials and drugs with unmatched speed and precision. This innovation promises to transform industries, impacting treatments for diseases like Alzheimer's and cancer, and advancing the development of more sustainable materials. Explore Nadia's insights in the full interview: https://bit.ly/3YTjKut #AI #QuantumComputing #Innovation #ComputationalChemistry #SandboxAQ #Nvidia

An exciting step forward in our mission to revolutionize cardiac diagnostics: We’re launching a collaboration with Mayo Clinic to test CardiAQ, our quantitative AI-powered magnetocardiography (MCG) device. Cardiovascular disease remains the leading global cause of death, highlighting the urgent need for more accurate, non-invasive diagnostic tools. CardiAQ captures the heart's magnetic signals, potentially providing clinicians with clearer insights without the need for invasive procedures. Mayo Clinic will conduct a clinical study to compare CardiAQ with traditional angiography, potentially transforming the future of cardiac care. Kit Yee Au-Yeung shared insights about this collaboration with Fierce Healthcare: https://lnkd.in/ehgUhhbN #HealthcareInnovation #AI #MedTech #MedicalDiagnostics #MedicalImaging