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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 closedProgram Overview
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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.
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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.
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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.
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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.
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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.
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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
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Banking & Financial Services
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Healthcare, Wellness & Life Sciences
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Media, Entertainment & Gaming
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Retail & eCommerce
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Manufacturing, Logistics & Transportation
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AI for All (Includes Education, Agri, Energy, HR, etc)
Program Winners
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Banking and Financial Services
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Healthcare, Wellness & Life Sciences
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Retail & eCommerce
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Media, Entertainment & Gaming
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Manufacturing, Logistics & Transportation
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AL For All (Education, Agri, Energy, HR etc.)
Special Mention
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Healthcare, Wellness & Life Sciences
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AL For All (Education, Agri, Energy, HR etc.)
Timeline
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Call for Application
Sept - Oct
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Bootcamp
Sept - Oct
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Call for Application
Sept - Oct
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Call for Application
Sept - Oct
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Call for Application
October
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ML Camp
December
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ML Sprint
December
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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.
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Akash Singh
Co-founder & CTO, observe.ai
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Ari Kalfayan
Senior Business Development Manager, AWS
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Baskar Subramanian
Co-founder, Amagi Media Labs
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Craig Stires
Head of Sales, Machine
Learning & AI, Asia-Pacific &
Japan, AWS
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Ganesh Gopalan
CEO & Co-founder,
gnani.ai
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Gaurav Arora
Head of Startup Ecosystem, Asia Pacific & Japan, AWS
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Guru Sankararaman
Co-founder, CFO & VP of Operations, Tekion
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Mark Birch
Principal Startup Advocate, Asia-Pacific & Japan, AWS
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Matt Fitzgerald
Head of AWS Developer Relations APJC
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Prashant Luthra
Vice President, Engineering, Freshworks
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Pratik Poddar
Principal, Nexus Venture Partners
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Praveen Jayakumar
Principal AI/ML Solutions Architect, AWS
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Rahul Garg
Founder, Moglix
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Rajiv Ramanan
Director - Startup Program and Technology Alliances, Freshworks
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Ravi Kaushik
VP, Head of Data Science, Near
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Rohit Chennamaneni
Co Founder, Darwinbox
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Sachin Jaiswal
Co-founder & CEO, Niki
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Sanket Dhurandhar
India Head - AI & Machine Learning, Amazon Internet Services Pvt. Ltd.
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Sameer Brij Verma
Managing Director, Nexus Venture Partners
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Shivani Venkatesh
Head, Client Insights, RBL Bank
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Shobhit Shukla
Co-founder & Chief Revenue Officer, Near
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Shradha Sharma
Founder & CEO,
YourStory
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Srikanth Velamakanni
Co-founder, Group Chief
Executive & Vice-Chairman, Fractal Analytics
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Sudha Bhamidipati
Co-founder, worxogo
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Sunil Rao
Country Head - Corporate Business Development, AISPL
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Suresh Kondamudi
Co-founder & CTO, CleverTap
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Vijay Kuppili
VP, Global Business & Product Head, Near
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Vinod Devarampati
Technical Specialist, Intel
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Gaurav Agarwal
Co founder, 1mg
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Siddharth Mall
CEO & Co - FounderPlayment
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Arun Kumar Lokanatha
AI/ML Solutions Architect, AWS
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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
FAQsResources
Best practices for Hiring at Scale
Journey to Launch - Develop | Build | Scale to market
Product Strategy + GTM & Team building - Key Learnings from previous startup experience
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
How to run your fund raise process (dos and donts)
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
Technology/AIML and Culture
Product, Technology, Culture
Product, Technology, Culture