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Textician turns unstructured clinical notes into fixed-length vector representations to enable analytics and automation for healthcare workflows. Their patented NoNLP technology encodes sentences,…

Textician turns unstructured clinical notes into fixed-length vector representations to enable analytics and automation for healthcare workflows. Their patented NoNLP technology encodes sentences,…
What they do: Convert unstructured clinical notes into fixed-length vector representations (NoNLP) for healthcare ML and automation
Founded: 2013
Headquarters: Cambridge, United States
Primary customers: Healthcare IT / B2B (EMR integration for ICD-10 coding and revenue cycle use cases)
Known funding types: NSF SBIR grants, MassVentures grant, angel entry
Unstructured clinical text in electronic medical records; extracting structured insights for coding, analytics and automation
2013
Information Technology
170000
NSF SBIR grant recorded in Nov 2013
940000
NSF SBIR grant recorded in Feb 2015
Recorded NSF entry in Sep 2015 with amount not listed
Angel entry recorded with amount not listed
100000
MassVentures grant recorded in Jan 2020
“MassVentures, National Science Foundation”
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