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- Home | Uncountable
Uncountable is a market-leading cloud-based software that helps labs modernize their R D workflows from siloed data sets and turns them into an integrated R D knowledge base Unearth new learnings with visualization tools and add predictive capabilities to your R D toolset, today!
- Reflecting on 2024 and Looking Ahead to 2025: A Year of Growth . . .
Uncountable’s three co-founders, Noel Hollingsworth, CEO; Jason Hirshman, CTO; and Will Tashman, CRO, reflect on a transformative 2024—from global growth, 100+ customers, AI ML advancements, new logos, and a few highlights of what's to come in 2025
- Integrated Visualizations Reporting for Enterprise R D | Uncountable
Uncountable's end-to-end platform for enterprise R D teams allows your scientists to go straight from recording their data to visualizing and analyzing it, unlocking insights, increasing collaboration and shortening experimentation cycles
- AI Tagged Resources | Uncountable
Learn what Unified Laboratory Informatics Software is and how this new category of cutting-edge R D software solution transforms research, development, and innovation workflows for enterprise laboratories worldwide Download this PDF guide to learn
- Steps for using Analyze Experiments with AI - Uncountable
The Uncountable platform allows you to create models based on past data and use them for making predictions With a decent model, you might be able to predict the properties of formulations before conducting the experiments or even without necessarily conducting them in the lab
- Customers | Uncountable
Uncountable is a true partner to R D teams We believe the right platform will integrate easily into scientists’ current workflows while improving knowledge management and uncovering new development opportunities
- Company | Uncountable
Uncountable's mission is to accelerate R D by order of magnitude Our founding team of MIT and Stanford engineers brings expertise in software development and data analytics
- JPN – User Manual – Uncountable Knowledgebase
データをUncountableに保存して構造化すると、強力なビジュアライズ機能を使用して、データ内のすべての変数間の関係を簡単に調査できます。
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