Ami

  • Gurgaon, India
  • Big Data, personalized recommendation, Mobile

Ami is meta of recommendation engines. It knows when and what to recommend and interlink verticals.

Founded:
2014
Stage:
Proof of Concept
Market:
B2C

Startup Video

Featured


Founded

Ami was founded and the team started working on the concept.

Nov

2014

New Product Release

Alpha version was released.

Jan

2015

Jobs


Team Summary

Akhil Singh (Co-Founder) studied Information Systems at BITS Pilani, Goa campus. He founded Cubito.in during his college days. He has an experience of building AI algorithms and is leading the algorithm development at Ami.
Vedansh Singh (Co-Founder) is DCE(Delhi, India) alumnus and was working as a Senior Analyst with one of the biggest banks.

Team


Product/Service Summary

Spotify has 3 mn songs and Foodspotting has 2 mn dishes. Most people don't even try 1% of this.
So Ami is an intelligent meta of recommendation systems, which recommends you songs, restaurants, blogs, movies and books. It also interlinks verticals to enhance the recommendations. Ami is smart, it recommends only when you want the recommendation.

How are we different?

Ami recommends you a song when you are driving/jogging. It recommends you a blog when you like to read it. It suggests you books based on your choice of song, books etc. It interacts with you like friend. You literally text ami and recieve a reply as a text on Ami interface. So its like a friend which will recommend you things exactly when you want

Product/Service Descriptions