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AI/ML Documents as a Database11-50 Employees
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  • Early Stage
    Startup in initial stages
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AI/ML Documents as a Database
Over 3 million businesses in the US search 94,000 sources for opportunities from federal, state and local governments to fight for their slice of the $2 trillion dollar award pie.
The process of searching and reading non-relevant documents and document changes to get to the right deals is inefficient, boring and takes a lot of manual labor, even with tools.
RedShred uses machine learning, natural language processing and natural language question-answers to help market analysts and business developers find revenue producing leads. It continuously scans sources, creates match criteria based on your questions and finds specific answers in documents.
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James Kukla
Avatar for James Kukla
Engineering from startup to IPO at Sourcefire. Founded RedShred to bring AI to business leads. BS and MS in Computer Science.
Jeehye Yun
Avatar for Jeehye Yun
Founder/CEO at RedShred. Former CEO SSG, IT services company. Former Director of Computing Facilities, UMD Institute for Advanced Computer Studies.
Valuation

$0

Funded over

2 rounds

Latest round

Seed (Dec 2016)

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