| 항목 / 지표 | ![]() | ![]() |
|---|---|---|
| 공식 도메인 | cryptosense.com | unlearn.ai |
| 가격 모델 | 가격 문의 | 가격 문의 |
| 월간 방문 수 | 0 (0) | 1.71만 (17,107) |
| 전월 대비 트래픽 변화량 | 0 (0%) | -8.23천 (-32.5%) |
| 주요 시장 및 점유율 | 🌐 글로벌 (—) | 🇺🇸 미국 (69.4%) |
| 월 직접 방문 수 | 0 | 7.49천 |
| 사용자 평점 | 4.6 | 4.4 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

실제 과학·보안 성과를 위한 대규모 정량 모델
물리·화학·독점 과학 데이터에 기반해 실제 문제에 정량적이고 환각이 적은 출력을 제공하는 AI 모델.
가상 스크리닝, 항체 설계, 리드 최적화, 독성 예측, 바이오마커 개발을 지원하는 워크플로와 과학 모듈.
DFT 기반 방법과 생성형 AI를 활용한 촉매 설계, 합금 개발, 배터리 모델링, 물성 예측.
CryptoSense에서 출발한 기술을 바탕으로 암호 자산 탐지, 인벤토리, 포스트 양자 마이그레이션 계획을 제공.

Unlearn.AI builds AI-generated digital twins of clinical trial participants — forecasts of how each individual patient's outcomes would evolve — and uses them to sharpen design, interim, and readout decisions in drug development.
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.
무료 / 오픈소스정신건강 전문가를 위한 AI 치료 노트와 AI 네이티브 EHR.

Windward is a Maritime AI™ platform that fuses multi-sensor maritime data with behavioral analytics to deliver mission-grade, all-source operational intelligence for defense, government, and commercial organizations.
Windward is a Maritime AI™ platform that fuses multi-sensor maritime data with behavioral analytics to deliver mission-grade, all-source operational intelligence for defense, government, and commercial organizations.

무료 / 오픈소스스스로 개선되는 AI 에이전트를 구축·시뮬레이션·평가·모니터링
무료 / 오픈소스스스로 개선되는 AI 에이전트를 구축·시뮬레이션·평가·모니터링
AI로 검진 대상자를 찾고 결절마다 위험 점수를 산출

RapidAI is an enterprise clinical AI platform that connects medical imaging to clinical decisions across neurology, cardiac and vascular care, trauma, emergency departments and oncology. Its FDA-cleared algorithms analyze CT, CT angiography, MRI and other scans to detect and quantify conditions such as large vessel occlusion stroke, aneurysms, aortic disease, pulmonary embolism, fractures and critical chest findings, then push the results to the care teams who need them. The Rapid Enterprise platform layers workflow integration, scalable infrastructure, data analytics and third-party partner AI on top of the core models, so health systems can run deep clinical AI across entire service lines rather than isolated point tools.
RapidAI is an enterprise clinical AI platform that connects medical imaging to clinical decisions across neurology, cardiac and vascular care, trauma, emergency departments and oncology. Its FDA-cleared algorithms analyze CT, CT angiography, MRI and other scans to detect and quantify conditions such as large vessel occlusion stroke, aneurysms, aortic disease, pulmonary embolism, fractures and critical chest findings, then push the results to the care teams who need them. The Rapid Enterprise platform layers workflow integration, scalable infrastructure, data analytics and third-party partner AI on top of the core models, so health systems can run deep clinical AI across entire service lines rather than isolated point tools.
금융 범죄 및 국가 안보 스크리닝을 위한 AI 리스크 인텔리전스 플랫폼
실제 로봇 하드웨어에서 작동하는 산업용 자동화 Physical AI

무료 / 오픈소스January AI provides APIs and complete experiences that turn fragmented clinical, lifestyle and multi-omic data into personalized nutrition and metabolic intelligence, covering meal scanning, device-free glucose prediction and longitudinal health context.
무료 / 오픈소스January AI provides APIs and complete experiences that turn fragmented clinical, lifestyle and multi-omic data into personalized nutrition and metabolic intelligence, covering meal scanning, device-free glucose prediction and longitudinal health context.