HyperGlue
Business intelligence on text
What they do
Teams cannot efficiently read and analyze massive volumes of text feedback to find actionable signal amid noise.
HyperGlue provides machine-intelligence business analytics on large text datasets without requiring engineering effort or added headcount to deploy NLP/AI.
Operators, product managers, and analysts at companies who need to analyze large-scale text feedback and documents.
Founders
👋 I'm a 2012 Stanford graduate that has been in the tech industry for the last decade. I'm deeply interested in building scalable platforms that involve applying ML to pressing problems. We are bringing business intelligence to text, extracting insights from the pieces of content that would otherwise take an army to read.
Co-founder @Hyperglue AI. Stanford University Graduate (2012). Former D1 Athlete (Baseball, Fooball). Husband to Melisa Fich. Originally from the Bronx, NYC.
Company timeline
- Founded2020
- YC batchWinter 2021
- StatusAcquired
- Team size5 people
- LocationSan Francisco, CA, USA; Remote
