Many industries rely on probabilistic models. Ours don’t have to. At NVIDIA GTC DC, we’re showing how SandboxAQ combines AI simulation with quantitative, deterministic models to accelerate breakthroughs in materials science, energy, biopharma, and national security. Stop by booth 321 for real-world demos of: • Drug target identification with AQBioSim • Materials discovery with AQChemSim 📅 October 28 - 29 📍NVIDIA GTC Washington, D.C. I Booth number 321 🔗 Register here: https://lnkd.in/dm-5f75D Our AI doesn’t just generate data; it’s grounded in physics.
SandboxAQ
Software Development
Palo Alto, CA 44,944 followers
Leveraging AQ - the powerful compound effects of AI + Quantum technology
About us
In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.
- Website
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https://www.sandboxaq.com/
External link for SandboxAQ
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Palo Alto, CA
- Type
- Privately Held
- Founded
- 2021
- Specialties
- AI, Quantum Physics, Quantum Technology, Cryptography, Cybersecurity, Navigation, Life Sciences, National Security, Financial Services, Quantum Sensing, Quantum Simulation & Optimization, Pharmaceuticals, Telecommunications, Public Sector, and SaaS
Locations
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Primary
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Palo Alto, CA, US
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New York, NY, US
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Arlington, VA, US
Employees at SandboxAQ
Updates
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Financial institutions are navigating one of the most disruptive technology shifts in decades. AI is transforming the industry while quantum computing is redefining cybersecurity risks. How can banks balance today’s cybersecurity imperatives with the forward-looking investments required to be quantum- and AI-ready? Join BNP Paribas’ ☁️ Sandip Wadje and SandboxAQ’s Marc Manzano for a webinar on future-proofing finance against AI and quantum threats. 📅 Oct 29 | 10am EDT / 4pm CET 🔗 https://shorturl.at/a58NL
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On CNBC with Dan Murphy, our CEO Jack Hidary underscored what many security leaders already know: current cybersecurity strategies aren’t built to detect or defend against AI-generated threats. Watch the segment here: https://lnkd.in/eW4a-mmc #Cybersecurity #AI #Cryptography #SandboxAQ
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This week, the World Economic Forum and SandboxAQ explored what it means when AI Agents and other non-human identities enter cyberspace. Their rise will reshape the entire threat landscape, and will require transparency and control of cryptographic assets in order to safeguard our digital and physical worlds. 🔗 https://lnkd.in/giMcQiFP #Cybersecurity #AI #AgenticAI #ZeroTrust #WEF
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SandboxAQ reposted this
Thrilled to share how the timely release of the SAIR dataset (Structurally-Augmented IC50 Repository) by SandboxAQ was instrumental in powering our Agentic AI platform. This is a powerful reminder for our field: 🔬 For Medicinal Chemists: High-quality synthetic data like SAIR is a key to unlocking novel design strategies and finding inspiration for novel ligands. 🤖 For ML Engineers: These datasets are crucial for training more robust and predictive models that can genuinely accelerate drug discovery. I encourage you to explore, critique, and utilize the synthetic data we've generated for several high-priority targets, including: • NLRP3 • KRAS • Myosin Motors • WRN Helicase Your feedback is invaluable. Download and review the data here: 👉 https://lnkd.in/gRycZUps #AI #DrugDiscovery #MedicinalChemistry #MachineLearning #SyntheticData #SandBoxAQ #SAIR #Bioinformatics
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October is Cybersecurity Awareness Month. The perfect time to ask yourself, "Are my cryptographic assets protected?" Every day, adversaries are looking for weak spots. AQtive Guard helps enterprises: ✅ Discover every cryptographic asset across the organization ✅ Prioritize vulnerabilities based on real risk ✅ Move from reactive fire drills to proactive protection Take control of your cryptography and stay ahead of emerging threats. Learn how AQtive Guard can secure your enterprise: https://shorturl.at/wpnhe
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New tools are reshaping how scientists understand proteins, and the stakes couldn’t be higher. Our advisor Yuval D. shares about his recent trip to San Francisco, where he met colleagues and partners, including some of the top minds in AI. https://lnkd.in/gpS_ka-N
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Last month, SandboxAQ’s Carlos Aguilar Melchor, Chief Scientist, presented at ESORICS 2025, one of Europe’s leading cybersecurity conferences. His session explored the often-overlooked foundations of digital security and how cryptographic mismanagement like outdated algorithms, forgotten keys, and ad-hoc practices, can quietly erode resilience and expose organizations to risk. We’re proud to see SandboxAQ contributing to the global conversation on strengthening cryptography and securing the future of digital systems.
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Hajo Schiewe, PhD, Vice President of BioSim Partnerships at SandboxAQ, joins leaders from Axia Medicine and Stanford University’s Mike Snyder Lab for on AI-powered high-throughput discovery. They’ll explore how AI is speeding up the path from assay to insight — improving detection of biomarkers and disease signatures. Hajo will share how SandboxAQ’s Quantitative AI and physics-based simulation are helping researchers turn massive data sets into breakthroughs. Learn more: https://bit.ly/4mZwcB8
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Join Jack Hidary, CEO of SandboxAQ, for a fireside chat at Expand North Star where he’ll challenge innovators and investors to move past the LLM hype cycle and explore Large Quantitative Models (LQMs) - the next wave of AI. Alongside Samantha E., Managing Director of MENA at Startup Genome, Jack will share how LQMs are delivering deterministic, high-precision solutions in sectors such as biopharma, energy, and defense, and why these models are poised to define a more resilient and sustainable future. If your roadmap depends on solving real-world problems, this is a session you won’t want to miss. 📅 Tuesday, October 14 | 12:40 PM – 1:00 PM GST 📍 Dubai Harbour – 10X Main Stage, Hall 8 🔗 Register here: https://lnkd.in/g-NPEiDb
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