Constellab 每月有 0 次造訪，月增率 0%，定價模式為需聯絡報價。Cradle 每月有 16,993 次造訪，成長率 -22.3%，定價模式為需聯絡報價。
Constellab is a sovereign European data and AI platform for life sciences that lets research and health teams build, automate and share analysis workflows inside secure, traceable digital labs.
| 面向／指標 | |  |
|---|---|---|
| 官方網域 | constellab.io | cradle.bio |
| 定價模式 | 需聯絡報價 | 需聯絡報價 |
| 每月造訪次數 | 0 (0) | 1.7萬 (16,993) |
| 月流量變化量 | 0 (0%) | -4877 (-22.3%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🇳🇱 荷蘭 (47.6%) |
| 每月直接造訪 | 0 | 6214 |
| 使用者評分 | 4.6 | 4.5 |
| 支援平台 | 網站 | 網站 |
Constellab is a sovereign European data and AI platform for life sciences that lets research and health teams build, automate and share analysis workflows inside secure, traceable digital labs.
Assemble analysis pipelines from reusable method bricks so scientific workflows are reproducible and easy to share across teams.
Bring together data from instruments, files and external sources into one governed, traceable environment.
Choose cloud, on-premises or edge deployment so sensitive life-sciences data stays where governance requires.
Manage research projects, search across datasets and run analyses from a unified workspace built for scientific teams.
用 AI 更快打造更好的蛋白質
從標靶或自有序列出發，由 Cradle 結合你的資料與領域知識設計一整盤優化後的候選分子。
同步優化效力、可開發性與可製造性，不必逐項推進，進而壓縮達到目標規格所需的時間。
每一輪都會納入上一輪結果，讓實驗資料跨專案累積，先前失敗專案的經驗也不浪費。
網頁應用中的所有功能都透過 API 開放，計算團隊可撰寫腳本並將 Cradle 接入既有流程。
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用數據測量、預測並預防心臟病
XenonStack is an AI-first technology company that builds decision infrastructure for enterprise AI agents. Its platform spans reasoning, orchestration, analytics, infrastructure and trust, with products including Foundry, ElixirClaw, ElixirData, NexaStack, MetaSecure and Neural AI, plus pre-built agents for operations, finance, security, analytics and supply chain.
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免費 / 開源現成的資料庫設計、範例資料與 AI 建模工具
來自德國的研究導向 AI 開發與顧問服務
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免費 / 開源面向營養與代謝數據的健康智慧基礎設施
Synthace is a cloud software platform that helps life-science R&D teams design multivariate experiments, automate their execution across lab hardware, and capture the results as structured, contextualized data. It combines design-of-experiments (DOE) tooling with instrument and dispenser integrations so biologists can run richer experiments without writing code or rebuilding their automation stack.
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面向材料與化學品研發的AI，把雜亂實驗資料變成更快的產品上市
