Hyperscience

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Hyperscience
IndustryComputer Software
Founded2014; 7 years ago (2014)
Headquarters
New York, NY
,
United States
Key people
Peter Brodsky (CEO)
ProductsHyperscience Platform
Number of employees
155
Websitehyperscience.com

Hyperscience is an artificial intelligence and intelligent automation company.

History

Peter Brodksy, Vladimir Tzankov, and Krasimir Marinov founded Hyperscience in 2014. The company based in New York City, NY, also has offices in Sofia, Bulgaria and London, United Kingdom. The initial investors included Third Kind Ventures, AME Cloud Ventures, Slow Ventures, BoxGroup, and Acequia Capital. In December 2016, the company announced they raised $18 million in a Series A round from existing investors along with the addition of Felicis Ventures and FirstMark Capital.[1] In January 2019, the company announced a $30 million funding for Series B, led by Stripes Group, Felicis Ventures and FirstMark Capital, as well as new investors Global Founders Capital, Battery Ventures, QBE and TD Ameritrade.[2]

Software

Hyperscience offers an intelligent document processing solution built on a machine learning platform for enterprises dealing with high volumes of document processing and manual data entry. The product processes structured and semi-structured data on documents, automating up to 80%+ of manual document sorting, out of the box with 99.5% accuracy. The low-code platform provides enterprises with an easy to use solution for classification and data extraction.

Hyperscience’s product currently serves enterprises within the insurance, financial services, government and healthcare industries. The product is currently a on-premise software, giving businesses full control and security over their data.

Recognition

In January 2020, Hyperscience was honored in BuiltinNYC’s ‘Best Places to Work in NYC in 2020.’[3] Hyperscience was also named one of CIO Review’s Top 20 Most Promising Insurance Technology Solutions Providers.[4] On January 22, 2020, Business Intelligence Group announced Hyperscience a winner amongst the 2020 BIG Innovation Awards list, as well. [5]

In February 2020, Hyperscience was featured in New York Bootcamp’s “30 New York Startups to Watch in 2020”.[6] The company was also recognized amongst 34 companies by Business Intelligence Group in their review of the 2020 Best Places to Work.[7]

On March 3, 2020, Hyperscience was named to CB Insight’s fourth annual AI 100 ranking, showcasing the 100 most promising private artificial intelligence companies in the world.[8]

In April 2020, Everest Group, an analyst for computer software and technologies, named Hyperscience a Major Contender in their annual IDP PEAK Matrix Report 2020.[9] Hyperscience was also named a Hot Vendor by analyst, HFS Research, in their Hot Vendor Q1 2020 Report amongst four emerging technologies.[10]

References

  1. Crook, Jordan. "HyperScience, with $18m in Series A funding, offers AI to solve back-office problems". Tech Crunch.
  2. Crook, Jordan. "HyperScience, the machine learning startup tackling data entry, raises $30 million Series B". Tech Crunch. Retrieved 28 May 2020.
  3. "100 BEST PLACES TO WORK IN NYC 2020". BuiltinNYC.
  4. "HyperScience: Harnessing the Power of AI to Transform Insurance Data and Processes". CIO Review. Retrieved 28 May 2020.
  5. "5 Executives and 100 Companies and Products Leading in Innovation in 2020". Business Intelligence Group. Retrieved 28 May 2020.
  6. "30 New York Startups to Watch in 2020". New York Bootcamps.
  7. "34 Companies Named 2020 Best Places to Work". Business Intelligence Group. Retrieved 28 May 2020.
  8. "AI 100: The Artificial Intelligence Startups Redefining Industries". CB Insights.
  9. "Intelligent Document Processing (IDP) – Technology Vendor Landscape with Products PEAK Matrix® Assessment 2020". Everest Group.
  10. "What Makes Hyperscience a HFS Hot Vendor for Q1 2020". Hyperscience.

External links

This article "Hyperscience" is from Wikipedia. The list of its authors can be seen in its historical. Articles taken from Draft Namespace on Wikipedia could be accessed on Wikipedia's Draft Namespace.