
"AI advances hold tremendous promise
for tackling our
hardest problems and
achieving our greatest aspirations."
- Arati Prabkahar, Director,
White House Office
of Science and Technology Policy
Trustworthy.
User-centric.
Explainable.
Ethical.
This is SoKat AI.
In 2017, Dr. Jim Kyung-Soo Liew, with over two decades of building algorithms on Wall Street to teaching Big Data and Machine Learning at Johns Hopkins University, saw the promise of AI innovation in the federal government.
Since then, SoKat's talented team of academics from Johns Hopkins University have built and deployed cutting-edge AI solutions that are
trusted by the federal government and world class companies,
win awards for innovation, and
deliver exceptional customer experience and satisfaction.
This is your AI journey.
Let us be your trusted guide.
Capabilities
Use Cases
SoKat uses the most cutting-edge Natural Language Processing algorithms to ingest all varieties of data and pre-train the models for...
SoKat has successfully built and deployed Intelligent Automation to federal grants management In sifting through a massive amount of data using Machine Learning...
SoKat has worked on multiple projects where we used a subset of Natural Language Processing tools, called Optical Character Recogni...

SoKat’s patent-pending chatbot can be used for healthcare, education, training or to enhance customer experience when interfacing with government age...
Sentiment Analysis is an area of Natural Language Processing (NLP) and a powerful AI tool. Its potency when used in intelligent...
SoKat understands how critical it is for federal agencies to prevent fraud as they perform their mis...
AI can be used to derive new, valuable, and most importantly, actionable insights from data. Specifically, we use algorithms...
Document intake and review is a critical task for most government agencies, especially when there is a high risk potential for improper...
SoKat provides customized AI education and training through workshop formats. The curriculum is based off of the original course curriculum taught by our team m...
Recent Awards
2022
2022
2021
2021
2020
2020

2019
2018

