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    Date submitted
  • 06-Sep-2017



Behold.ai expedites medical billing, coding and claims via its artificial intelligence medical billing platform. Behold.ai’s AI SaaS rapidly, accurately and consistently codifies, bills and files insurance claims on behalf of healthcare providers. Behold.ai uses deep learning

technology, which combines neural network architectures with massive computing power to decipher and understand medical procedures for billing while saving healthcare providers money and reducing errors.


Original YouTube URL: Open

Introduction Video

Additional Questions

Who is your customer?

Behold.ai saves providers money and even makes hospitals money by processing billings and claims faster and more accurately. Challenges of managing in-house billing processes include setbacks experienced in the IT structure, untrained staff, billing errors and lack of proper financial policy in place.

What problem does this idea/product solve or what market need does it serve?

Behold.ai reduces billing errors and automates coding, billing and claims. In order to curb or alleviate these challenges, several healthcare providers, such as acute care hospitals and clinics/physician offices, prefer outsourcing their medical billing process to third-party service providers. Behold.ai replaces these in-house and third-party billing processors.

What attributes will make this idea/product successful? Why do you believe that those features will create success?

Artificial intelligence technology has advanced extremely quickly and far in the past few years. The advances in Natural Language Processing have helped companies like Facebook, Google, and Apple immensely. By utilizing similar AI technologies that they use, we can automate most medical billing, saving hospitals money.

Explain how you (your team) will execute to make this idea/product successful? What gives you (your team) an advantage over others already in the market or new to this market?

My co-founder and I have a strong background in AI and Natural Language Processing. I received my B.S. in cognitive psychology and a minor in linguistics at the University of Illinois Urbana - Champaign and spent 2 years doing psychology and linguistics research at Stanford University. I also received an M.A.in Education Technology at Columbia University My co-founder, Peter Njenga, got his B.S. in Computer Science at UC- Berkeley and worked at AMB and Intel before starting at Columbia, where he got a M.S. in Computer Engineering. He also worked at Facebook as an AI engineer. We also have experienced individuals from the medical and medical insurance space on our advisory board.