ESET vs SandboxAQ

About SandboxAQ

SandboxAQ is a science-first technology company that connects AI and Quantum techniques across pharma, energy, defense, and other markets. SandboxAQ was spun out of Alphabet in 2022. REAQT is an LQM-powered AI platform from SandboxAQ that serves multiple verticals.^[4][8]

SandboxAQ offers three ways to access and deploy its LQMs. One way connects SandboxAQ's LQMs to an existing chat LLM or cloud environment via the Model Context Protocol (MCP). Customers can deploy SandboxAQ LQMs within their own operational environment, fine-tune models on their proprietary data, and access dozens of specialized modules. SandboxAQ offers long-term, shared-risk engagements with milestone-based alignment. SandboxAQ provides pay-as-you-go access options for individuals and enterprises. AQCat Adsorption Spin is available via LLM integration and can be accessed via any MCP client.^[8]

SandboxAQ says most organizations lack real-time visibility and control over where cryptography is used, where it's vulnerable, and how to fix it fast. AQtive Guard gives security teams insight into cryptographic assets and NHIs, then automates remediation. AQtive Guard works across existing infrastructure and cloud environments. AQtive Guard discovers and monitors cryptographic assets and NHIs across hybrid environments. AQtive Guard detects and remediates weak, expired, or non-compliant keys, certs, and algorithms. AQtive Guard automates lifecycle management including credential rotation and certificate renewal. AQtive Guard includes post-quantum cryptography support, and its stated uses include compliance with FIPS 140-2, PCI DSS, NIST, and custom policies.^[1]

Sandwich is an open source, unified API for cryptographic libraries, built for developers. Sandwich supports the languages C++, Rust, Python, and Go and the cryptographic libraries OpenSSL, BoringSSL, and libOQS, to enable post-quantum as well as classical cryptography. Sandwich composes the chosen protocol and implementation into a Sandwich object, such as a secure tunnel. The protocols and implementations available at runtime depend on the choices made when compiling the Sandwich library. Sandwich gives developers the ability to change configurations without having to re-compile their code.^[7]

AQBioSim enables biopharma teams to model interactions, predict outcomes, and optimize drug candidates in silico. AQChemSim uses LQMs to predict how molecules, materials, and industrial systems behave under real-world conditions. AQCat is a machine learning interatomic potential trained on 13.5 million quantum chemistry calculations across 47,000 catalyst systems. AQCat Adsorption Spin predicts spin-polarized adsorption energies and converged geometries on catalytic surfaces. AQCat Dispersion expands catalyst modeling to large molecules, including C5+ fuels and plastics precursors. AQPotency is a Large Quantitative Model for potency prediction and virtual screening that ranks protein-ligand pairs by predicted binding strength (pIC50) without requiring a 3D crystal structure of the target. AQADME is an ADME and pharmacokinetic property-prediction model for candidate molecules.^[4][8][10]

AQNav is designed to be compliant with MOSA standards. SandboxAQ characterizes and evaluates sensors for AQNav across performance, environmental, and integration criteria. CardiAQ combines advanced magnetic sensing, AI-powered Large Quantitative Models (LQMs), and electromagnetic interference rejection. CardiAQ is an investigational device. AQMed has partnerships with academic medical centers, including Mount Sinai and Mayo Clinic.^[9][11]

SandboxAQ worked with NOVONIX on predicting lithium-ion battery end-of-life with LQMs. SandboxAQ partnered with AWS, Intel, and Accenture on a near-exact simulation of PFAS bond-breaking chemistry across more than one million vCPUs. SandboxAQ collaborated with DIC and AWS on a simulation of an organometallic catalyst. SandboxAQ has a dedicated biopharma team combining expertise in computational chemistry, medicinal chemistry, biology, bioinformatics, AI, and software engineering.^{[1][7][8][9][12]}