SoKat has successfully built and deployed Intelligent Automation to federal grants management. In sifting through a massive amount of data using Machine learning, our team built a risk profile for over 750,000 prospective grant applicants, which aided us in being able to predict the probability of approval for each grant application.

Problem:

  • $800B in Federal grants need to be invested by means of slow, manual processing of grant applications
  • Siloed data
  • Legacy systems

Our Solution:

  • Intuitive search with automated intelligence
  • Clear transparency of potential risks
  • Easily and rapidly scalable
  • Cost efficient build-out

Outcome/Lessons Learned:

  • Saved an estimated $30M/annually in costs to the federal agency
  • Reduced administrative process time of applications from days/weeks to mere seconds
  • AI tool we built won GCN Government Innovation Awards 2018 and 2019