SandboxAQ Signs Definitive Agreement for $500 Million CHIPS R&D Award

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LLMs generate content. LQMs generate results.

Large Quantitative Models (LQMs) use physics, chemistry, and proprietary scientific data to generate real-world outcomes.

LLM + LQM for Scale and Impact.

Prompt

Users prompt for a quantitative result which needs real world data and analysis. Check out our peer reviewed LQM results

LLMs are the interface, but the real world answer must come from a real world model. Learn how we're working with Anthropic

Models

Specified Problem

LLM

User Interface, RAG, and AI Agent

Quantitative Output

Specified Problem

Quantitative Output

LQM Modules

Quantitative Models

Physics Models

Simulations

Real World Insights

No Hallucinations

Chemistry

Physics

Biology

Large Quantitative Models for the real world.

SandboxAQ connects AI and Quantum techniques for business breakthroughs across pharma, energy, defense, and other high-impact markets.

REAQT Overview

REAQT is SandboxAQ's LQM-powered AI platform allowing to serve multiple verticals with one, efficient system.

LLM

API

Agentic

Bench

↓

Proprietary Datasets

Proprietary LQMs

Compute & Workflow Orchestration

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BioSim LQMs

Workflows

Virtual Screening, Antibody Design, Lead Optimization, Toxicity Prediction, Biomarker Development

Scientific Modules

Docking, IDOLPro, AQFEP, AQFold, AQAffinity

ChemSim LQMs

Workflows

AQCAT, AQFORGE, AQVOLT, AQCHEM, Alloy Development

Scientific Modules

DFT Based Methods, Generative AI, High Accuracy Methods, Bayesian Optimization, Property Prediction

We’re not just building smarter models. We’re building AI that understands the physical world. This is Quantitative AI.

US awards $500 million to Nvidia-backed SandboxAQ for finding new chipmaking materials

SandboxAQ CEO Jack Hidary on why the Anthropic partnership matters

AI revolution hits medicine: SandboxAQ targets health, cyber breakthroughs

SandboxAQ Wants to Make Its Models Easier to Use–Via Claude

Shadow AI morphs into shadow operations

Emergency Department Triage of Patients with Suspected Acute Coronary Syndrome using Unshielded Magnetocardiography

AQCat25: Unlocking Spin-aware, High-fidelity Machine Learning Potentials for Heterogeneous Catalysis

SandboxAQ Introduces Solid-State Battery Modeling AI

America needs AI for the Real World

Q-Day Moved Closer: PQC Migration Timelines Just Shifted Left

SandboxAQ Tackles a Decade-Old Bottleneck in Computational Drug Discovery

AQCat25 Brings Spin-Aware Foundation Models to Real-World Catalysts

Where LQMs create value.

Drug discovery

Accelerating molecular design and reducing failure rates.

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Chemicals & materials

Predicting properties at the atomic level to unlock new compounds.

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Datasets, case studies, and validated results across industries.

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Why Visionaries Are Partnering with SandboxAQ

"I invested in SandboxAQ because of their industry-leading approach to quantitative AI. While LLMs are very helpful tools for consumers, it is quantitative AI that will define work in large sectors of the economy including biopharma, chemicals and financial services. I am impressed by the technical depth of Jack and his team and am excited to support their work. SandboxAQ has emerged as a leader in novel applications of AI that solve the most pressing challenges in the world and their technical success is impressive."

– Yann LeCun, leading AI scientist, one of three Turing Award winners for deep learning

"We are proud investors in SandboxAQ. We believe deeply in Jack and his team, and are committed to their vision to advance technology and transform industries through their leadership in the next wave of AI and its connection with quantum technologies. We support SandboxAQ’s portfolio approach to developing novel products in cybersecurity, navigation, and AI simulation, and are seeing their successes reflected in customer engagement. Jack and the team combine vision and execution and we are excited to grow with him and the company."

– USIT Investment Fund

"I am very excited to see the continued success of SandboxAQ. As part of the spinout team and now as a senior advisor, it is very gratifying to see all the hard work translate into real impact in the world. SandboxAQ’s combination of AI and quantum tools is changing the game in sectors such as biopharma, materials and cyber. Jack and the team are leading the company to new achievements and I look forward to continued involvement with the company as it grows further."

– Jen Sovada, Senior Advisor, SandboxAQ

“We’re proud to be backing SandboxAQ and its impressive accomplishments. Jack and his team have surpassed the expectations they set when we invested and we look forward to their continued success. Jack is a world-class leader who uniquely combines technical and business skills to execute on this vision with his team. SandboxAQ is the pacesetter in quantitative AI which has impact in multiple large sectors of the economy.”

– Jim Breyer, CEO, Breyer Capital

“It has been great to follow and to help drive the progress of SandboxAQ and its large quantitative models, enabled by a deeply technical team. The traction with large enterprise customers speaks for itself. As a senior advisor and former senior executive, I look forward to the continued scaling and impact of SandboxAQ.”

– Chris Hume, Senior Advisor, SandboxAQ

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See how LQMs deliver measurable outcomes across drug discovery, materials, finance, navigation, and cybersecurity.

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