An intensive 10 week virtual programme to empower ML-core startups to build, grow, and scale their venture right at early stages of their growth journey. Startups selected for the programme will get access to resources ranging from mentor master classes (across technology, product, GTM, funding and hiring) and live AMAs conducted by industry leaders, successful startup founders, VCs and AWS experts, peer-to-peer community learning, credits and offers by AWS and other ISVs to potential connects with investors and customers and much more.

Applications closed

Program Overview

ML CAMP

Ground Zero for the program. All applicants first undergo a baseline assessment. They then get an overview on the aspects that govern the growth of a machine learning startup through a bootcamp that includes workshops & keynote sessions by industry leaders across sectors and AWS experts.

ML SPRINT

Shortlisted startups will power through four weeks of mentor video masterclasses delivered by industry leaders, successful founders, VCs, AWS experts covering product strategy, go-to-market, technology, hiring, funding, among other aspects needed to build, grow and scale your ML startup.

ML AMAs

Stumbling on a roadblock to your growth? Shortlisted startups will get 1:few ask-me-anything sessions with mentors and leading industry experts from key industry verticals and domains to get their burning questions answered and help accelerate your startup’s growth.

ML TRIBE

Stay a cut above the rest. Accelerate your growth by exchanging ideas, challenges, best practices among and collaborating with an exclusive community of your peers - Some of the most driven and trailblazing AI and ML startup founders of the country.

ML EDGE

Get a chance to receive AWS Credits, AWS Business Support, and exclusive offers from ISVs and other partners to drive your business’s growth.

ML CONNECT

It is time to reap the hard-earned fruits of your labour. Get exclusive access to curated connects with industry experts and get an opportunity to network with alumni startups from ML Elevate 2020.

Industry Use Cases

Banking & Financial Services

Healthcare, Wellness & Life Sciences

Media, Entertainment & Gaming

Retail & eCommerce

Manufacturing, Logistics & Transportation

AI for All (Includes Education, Agri, Energy, HR, etc)

ML Elevate 2021 Cohort

Program Winners

Banking and Financial Services
Healthcare, Wellness & Life Sciences
Retail & eCommerce
Media, Entertainment & Gaming
Manufacturing, Logistics & Transportation
AL For All (Education, Agri, Energy, HR etc.)

Special Mention

Healthcare, Wellness & Life Sciences
AL For All (Education, Agri, Energy, HR etc.)

Timeline

Call for Application
Sept - Oct
Bootcamp
Sept - Oct
Call for Application
Sept - Oct
Call for Application
Sept - Oct
Call for Application
October
ML Camp
December
ML Sprint
December
ML Connect
January

Mentors

From helping you achieve product market fit, adopting the right technology stack, preparing you to acquire or retain customers, hiring the right set of talent to making your startup VC ready, these mentors, and many others, will guide you in building as well as attaining growth and scale.

Akash Singh

Co-founder & CTO, observe.ai

Ari Kalfayan

Senior Business Development Manager, AWS

Baskar Subramanian

Co-founder, Amagi Media Labs

Craig Stires

Head of Sales, Machine
Learning & AI, Asia-Pacific &
Japan, AWS

Ganesh Gopalan

CEO & Co-founder,
gnani.ai

Gaurav Arora

Head of Startup Ecosystem, Asia Pacific & Japan, AWS

Guru Sankararaman

Co-founder, CFO & VP of Operations, Tekion

Mark Birch

Principal Startup Advocate, Asia-Pacific & Japan, AWS

Matt Fitzgerald

Head of AWS Developer Relations APJC

Prashant Luthra

Vice President, Engineering, Freshworks

Pratik Poddar

Principal, Nexus Venture Partners

Praveen Jayakumar

Principal AI/ML Solutions Architect, AWS

Rahul Garg

Founder, Moglix

Rajiv Ramanan

Director - Startup Program and Technology Alliances, Freshworks

Ravi Kaushik

VP, Head of Data Science, Near

Rohit Chennamaneni

Co Founder, Darwinbox

Sachin Jaiswal

Co-founder & CEO, Niki

Sanket Dhurandhar

India Head - AI & Machine Learning, Amazon Internet Services Pvt. Ltd.

Sameer Brij Verma

Managing Director, Nexus Venture Partners

Shivani Venkatesh

Head, Client Insights, RBL Bank

Shobhit Shukla

Co-founder & Chief Revenue Officer, Near

Shradha Sharma

Founder & CEO,
YourStory

Srikanth Velamakanni

Co-founder, Group Chief
Executive & Vice-Chairman, Fractal Analytics

Sudha Bhamidipati

Co-founder, worxogo

Sunil Rao

Country Head - Corporate Business Development, AISPL

Suresh Kondamudi

Co-founder & CTO, CleverTap

Vijay Kuppili

VP, Global Business & Product Head, Near

Vinod Devarampati

Technical Specialist, Intel

Gaurav Agarwal

Co founder, 1mg

Siddharth Mall

CEO & Co - FounderPlayment

Arun Kumar Lokanatha

AI/ML Solutions Architect, AWS

Chakravarthy Nagarajan

Sr. AI/ML Specialist Solutions Architect, AWS

Who can apply

Startup founders who are curious, and are interested in exploring the limitless possibilities of AI and ML in solving key operational and business challenges across industry use cases, are ideal candidates. Startups that have raised under $1 million, and have been functioning for less than three years with less than 20 team members are encouraged to apply. Startups seeking their ideal product-market-fit, and looking to improve their customer acquisition can also apply.

Know more about the programme
FAQs

Resources

Masterclasses
Best practices for Hiring at Scale
Journey to Launch - Develop | Build | Scale to market
GTM - Points to Ponder
Product Strategy + GTM & Team building - Key Learnings from previous startup experience
Culture & Hiring
Building a machine learning first product in the early days
Enterprise selling and getting the Product-Market fit / Product
Startups and Scale ups: The journey from 0 to 100
Entrepreneurship in AI
How to run your fund raise process (dos and donts)
Go To Market Challenges
Marrying Data and Product together, during the 0-to-infinity journey
Winning Your First 50 Enterprise Customers
Amazon SageMaker - Machine Learning for every data scientist and developer
Increasing your chances of success
Amazon SageMaker Data Wrangler and AutoPilot
Build Smart Applications using AI Services
AMA Sessions
GTM/Product
Hiring/Culture
GTM
Technology/AIML and Culture
Product, Technology, Culture
GTM/Product/Tech
GTM
GTM
AI/ML
Hiring/Culture
GTM/Technology
Technology/Product
Product, Technology, Culture
Product/Growth
Product, Technology
Product, Technology
Funding
Funding, Technology
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