Teaching
Machines
to
Read
Legal
Search for specific clauses such as exclusions and guarantees in complex contracts and agreements.
Compliance
Detect compliance violations in employee communications.
Manage Risk
Monitor ever increasing volume of text data to fortify your risk management process.
Navigate Regulatory Requirements
Track regulatory changes and translate regulatory requirements to business rules.
Discover Marketing Opportunities
Understand customer preference and interests to recommend new products.
Research
Automate repetitive research patterns to expedite knowledge discovery and improve productivity.
Org Intelligence
Discover organizational bottlenecks from interactions, feedback and support requests.
OUR TECHNOLOGY
01 / EXPLAINABLE
Our model output is scored and explained intuitively using relevant phrases contributing to the score.
02 / RELIABLE
We deploy multiple strategies to improve relevancy. We expect our models to be reliably used for analytics and predictive modeling.
03 / EASY TO USE
Our models are designed to work right out-of-the box.
We do not expect domain experts to spend time in curating training data or building ontologies.
Our models learn and adapt to new data and usage patterns.
About
Our Story
We are a team of researchers, technologists and industry experts determined to help businesses succeed in the era of overabundant text data using advanced language comprehension models.
We embarked on this journey because we saw a wide gap between current solutions and customer needs.
We study latest research, conduct our own, and combine ideas from classical NLP, graph theory, bayesian probabilistic inference, bioinformatics, active learning, reinforcement learning and deep learning to create best-of-breed solutions that are enterprise ready.
Our Vision
We believe that when it comes to application of Natural Language Understanding to business problems, current solutions have barely scratched the surface.
Our goal is to develop models that comprehend language the same way humans do and are able to organize and store their knowledge for intelligent responses.
We are committed to rapidly integrate latest research into our products and give back to the research community.
Our Technology
Roughly 90% of data generated today is unstructured. From informal notes to complex legal documents, from news headlines to extensive reports - our technology is designed from ground-up to be flexible so that enterprises do not have to spend on a different system for each class of unstructured text.
Team
Won Jun Kang
Product Engineer
MS Computer Science,
Brown University
Lora Johns
NLU Researcher/
Computational Linguist
J.D. Yale Law School
B.A. Linguistics, Dartmouth College
MS University of Alberta
PhD. Western University
Ambika Sukla
Co-Founder and CEO
Fmr. Executive Director - AI
Morgan Stanley
MS Telecommunications Engg., NJIT
Dr. Yi Zhang
Lead NLP Researcher/
Computer Scientist
MS/PhD. University of Windsor
Dr. Jasmin Omanovic
MS University of Alberta
PhD. Western University
BS Computer Science and
Computational Neuroscience
Princeton University
NLP Research Engineer
Reshav Abraham
NLP Engineer
BS Computer Engineering,
Purdue University
Pratheek Irvathur
UX Architect
Parsons School of Design
Shivangi Jha
Data Analytics and Visualization
MS Computer Science,
Pace University
Sonia Joseph
Lead NLP Researcher/
Mathematician
Advisors
Dr. Bülent Yener
Co-Founder
Professor of Computer Science
Rensselaer Polytechnic Institute
Heng Ji
Professor of Computer Science
University of Illinois at Urbana-Champaign
Charlie Federman
Partner
Silvertech Ventures
Partners
Advisors
Dr. Bülent Yener
Co-Founder
Professor of Computer Science
Rensselaer Polytechnic Institute
Heng Ji
Professor of Computer Science
University of Illinois at Urbana-Champaign
Charlie Federman
Partner
Silvertech Ventures
Board
Felix Anthony
Investor and Board Member
Former. VP of Kindle and Fulfillment