mTrakr

  • Delhi, India
  • FinTechPersonal Finance, AIMachine Learning, Analytics, SaaS

mTrakr helps financial institutions boost their customer retention through real-time personalization

Founded:
2016
Stage:
Beta Launched
Market:
B2B

Startup Video

Featured

Image

Selected in World's Top Fintech Accelerator | Startupbootcamp

Image

Top Apps to Manage Money | LiveMint

Image

Best Financial Management Apps | Business Standard


Founded

Jan

2016

New Product Release

Money Mgmt App Beta release

Feb

New Product Release

App full launch

Sep

New Product Release

ML based recommendation engine, Rule Based Targeting engine released

Jan

2017

Media Coverage

Business Standard, LiveMint cover app as one of top money mgmt apps

Feb

Media Coverage

Selected by World's leading Fintech Accelerator - Startupbootcamp

Mar

New Product Release

Landed Pilot with ICICI Bank for our Personalized Marketing Platform

Jun

Jobs


Team Summary

Nitish, Co-Founder & CEO is a BITS Pilani & IIM Bangalore Alumnus having cleared all 3 levels of CFA program. He has handled large corporate banking customers for Kotak Mahindra Bank and has experience in building startup teams from scratch.

Navneet, Co-Founder & CTO is a BITS Pilani alumnus and has more than 8 years of full stack development experience working in Symphony Teleca and multiple startups.

The founders have been close friends since 12 years. The team has 8 full time members, 6 in technology across fields of Machine Learning, backend and android development, testing.

Team

Founding Team

Nitish Garg


Co-Founder

Co-Founder @ mTrakr. Past: Co-Founder @ DutchIt, RM - Corporate Banking at Kotak Mahindra Bank, RM @ BHEL Captive Power Plants Mktg

WORK

mTrakr (2015 - present)
Co-Founder

Tinqr Inc (2014 - 2015)
Co-Founder

Kotak Mahindra Bank (2013 - 2014)
Relationship Manager

EDUCATION

Indian Institute of Management, Bangalore
2011 - 2013

Birla Institute of Technology and Science
Bachelor of Engineering (B.E.) • 2005 - 2009

Delhi Public School - R. K. Puram
1995 - 2005

Product/Service Summary

A real-time personalization platform that helps businesses better understand and communicate with each customer. It automates the process of recommending the most relevant products and content to each customer across different mediums like email, mobile app, website. This 1:1 level of personalization helps businesses boost customer retention and earn more revenue per customer.

Machine learning forms the core of the customer profiling and recommendation engines.

Product/Service Descriptions