Mavericks BizTech LLP

  • Mumbai, India
  • AINLP, SaaS

Our software will summarize 50-100 page real estate lease agreement to just 5 pages within 5 mins

Founded:
2016
Stage:
Beta Launched
Market:
B2B

Startup Video

Featured


Funding

Secure Seed funding

Dec

2017

New Product Release

Will release next and enhanced version of the product by May 2018

May

2018

Jobs


Team Summary

Sushil Jhamnani (Founder) - 16 yrs exp. with Exec. MBA from NMIMS. Core competency in Business Operations & SME of US Real Estate
Vishal Nigam (Tech Consultant) - IIM Bnglr. alumni with 8 yrs exp. in Comp. Science & core expertise in ML, NL

Team

Founding Team

Current - Founder @ Mavericks BizTech Past - AVP @ RETransform, IT Exec @TATA-AIG Life 16 yrs exp with Exec. MBA from NMIMS, Mumbai Area of forte: Process & Project Management

WORK

Mavericks BizTech (2016 - present)
Founder & Chief Maverick

Annet Technologies (aka "RETransform") (2006 - 2016)
Associate Vice President - Business Process Management (BPM)

TATA-AIG Life Insurance (2005 - 2006)
Information Systems Analyst

EDUCATION

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
PGDBM (MPE) • 2005 - 2007

Center for Development of Advanced Computing (CDAC)
DAC • 2001 - 2002

Vikram University
B.Com • 1999 - 2001

Product/Service Summary

Real Estate Lease agreements in the US are pretty detailed, and generally, range between 50 to 150 pages which frankly is a lot of information for any person to read and interpret. Lease Abstracts (or summary) provide an easy glimpse of important terms and conditions of the lease within 5 to 6 pages. However, this entire process of summarization is done manually and takes around 12 - 16 hours to abstract each lease.

We are developing an algorithm which will read through the entire lease agreement and summarize (or abstract) it for customers using Machine Learning and Nature Language Processing (ML / NLP) technology in just 3-4 pages within 5 – 10 minutes.

Product/Service Descriptions