LINKS
ABOUT

contact@nlmatics.com

7 World Trade Center,

10th Floor, 

250 Greenwich Street,

New York, NY, 10007

SOCIAL
  • Black LinkedIn Icon

© 2019 NLMatics Corp.

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

 
  • Grey LinkedIn Icon
  • Grey LinkedIn Icon
  • Grey LinkedIn Icon

Dr. Jasmin Omanovic

NLP Research Engineer/
Mathematician

MS University of Alberta

PhD. Western University

  • Grey LinkedIn Icon

Dr. Yi Zhang

NLP Research Engineer/
Computer Scientist

MS/PhD. University of Windsor

  • Grey LinkedIn Icon

Pratheek Irvathur

UX Architect

Parsons School of Design

  • Grey LinkedIn Icon

Ambika Sukla

Co-Founder and CEO

Fmr. Executive Director - AI

Morgan Stanley

MS Telecommunications Engg., NJIT

  • Grey LinkedIn Icon

Suhail Kandanur

Head of Engineering

IIT Kharagpur

Computer Science PhD. Student

École de technologie supérieure

  • Grey LinkedIn Icon

Lora Johns

NLU Researcher/
Computational Linguist

J.D. Yale Law School

B.A. Linguistics, Dartmouth College

  • Grey LinkedIn Icon

Won Jun Kang

Product Engineer

MS Computer Science,

Brown University

  • Grey LinkedIn Icon

Ravi Choudhary

NLP Research Engineer

MS Data Science, NYU

IIT Kharagpur

  • Grey LinkedIn Icon

Russell Kim

Operations Research

Princeton University

ML Research Engineer

  • Grey LinkedIn Icon

Reshav Abraham

NLP Engineer

BS Computer Engineering,

 Purdue University

  • Grey LinkedIn Icon

Shivangi Jha

Data Analytics and Visualization

MS Computer Science,

 Pace University

  • Grey LinkedIn Icon

Murtaza Roondiwala

Software Engineer

MS Computer Science,

 Pace University

  • Grey LinkedIn Icon

Advisors

Dr. Bülent Yener

Co-Founder

  • Grey LinkedIn Icon

Professor of Computer Science

Rensselaer Polytechnic Institute

Heng Ji

  • Grey LinkedIn Icon

Professor of Computer Science 

University of Illinois at Urbana-Champaign

Charlie Federman

  • Grey LinkedIn Icon

Partner

Silvertech Ventures

Partners

Advisors

Dr. Bülent Yener

Co-Founder

  • Grey LinkedIn Icon

Professor of Computer Science

Rensselaer Polytechnic Institute

Heng Ji

  • Grey LinkedIn Icon

Professor of Computer Science 

University of Illinois at Urbana-Champaign

Charlie Federman

  • Grey LinkedIn Icon

Partner

Silvertech Ventures

Board

Felix Anthony

Investor and Board Member

Former. VP of Kindle and Fulfillment 

  • Grey LinkedIn Icon

GET IN TOUCH