SandboxAQ (CryptoSense) records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Unlearn.AI records 17,107 monthly visits with -32.5% growth and Contact for Pricing pricing.
Large Quantitative Models for real-world scientific and security outcomes
AI-generated digital twins that make clinical trials smaller, faster, and more informative
| Dimension / Metric | | |
|---|---|---|
| Official Domain | cryptosense.com | unlearn.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 0 (0) | 17.11K (17,107) |
| MoM Traffic Delta | 0 (0%) | -8.23K (-32.5%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (69.4%) |
| Direct Visits / mo | 0 | 7.49K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
Large Quantitative Models for real-world scientific and security outcomes
AI models grounded in physics, chemistry and proprietary scientific data that return quantitative, no-hallucination outputs for real-world problems.
Workflows and scientific modules for virtual screening, antibody design, lead optimization, toxicity prediction and biomarker development.
Catalyst design, alloy development, battery modeling and property prediction using DFT-based methods and generative AI.
Cryptographic discovery, inventory and post-quantum migration planning, built on technology originally developed by CryptoSense.
AI-generated digital twins that make clinical trials smaller, faster, and more informative
Model-based forecasts of each participant's clinical outcomes, generated from baseline data already collected, that act as a virtual comparator or as additional information per enrolled patient.
A twin-based covariate adjustment approach that Unlearn describes as EMA-qualified and FDA-supported, used to reduce sample size in randomized controlled trials while maintaining power.
Build and compare design scenarios — endpoints, eligibility criteria, sample size, assumptions — so governance decisions are made with quantified tradeoffs instead of positions.
Pre-specified twin-based analyses added to the statistical analysis plan before unblinding, plus twin-adjusted analysis delivered at interim and at readout.
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceAI therapy notes and an AI-native EHR built for mental health professionals.
Free / Open-sourceAI therapy notes and an AI-native EHR built for mental health professionals.
All-source maritime intelligence powered by Maritime AI™
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Large Quantitative Models that model the physical world for enterprise science and security
Free / Open-sourceGenerate data-backed personas, digital twins and synthetic research on demand
Free / Open-sourceGenerate data-backed personas, digital twins and synthetic research on demand
AI lung cancer screening that finds eligible patients and scores every nodule
AI lung cancer screening that finds eligible patients and scores every nodule
Enterprise clinical AI that turns medical imaging into faster, more confident care decisions.
Enterprise clinical AI that turns medical imaging into faster, more confident care decisions.
Engineer better proteins, faster, with AI
AI risk intelligence platform for financial crime and national security screening
AI risk intelligence platform for financial crime and national security screening
Physical AI for dexterous industrial automation on real robotic hardware
Physical AI for dexterous industrial automation on real robotic hardware
Free / Open-sourceHealth intelligence infrastructure for nutrition and metabolic data
Free / Open-sourceHealth intelligence infrastructure for nutrition and metabolic data
