AIm High - AI Bootcamp for Female Founders
Join AIm High AI Bootcamp for Female Founders powered by AWS Startup Loft Accelerator to get up to $100,000 in AWS Activate Credits, Access To Leading VC Funds, Technical and Business Support and a Spot in the AWS Startup Loft Accelerator!
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AIm High is an online and equity-free program bringing the best of Amazon's Machine Learning and Artificial Intelligence alongside the cloud infrastructure and partners network to support early-stage AI startups with at least one female founder that develop their AI-based projects across Europe, Middle East and Africa.
Meet The Experts
Merav Ash
Head of Startup & VC ML Business Development, AWS
Monika Rozalska-Lilo
Senior Startup & VC Business Development Manager, AWS
Ewa Chronowska
CEO, Vestbee & Partner, Next Road Ventures
Bakhrom Ibragimov
Partner, Molten Ventures
Daniela Raffel
VC Investor, Dawn Capital
Ellen Logan
Investor, Augmentum Fintech
Marcus Erken
Founding Partner, Sunfish Partners
Merve Zabci
General Partner, Logo Ventures
Irina Dimitrova
CFO, Partner, LAUNCHub Ventures
Aleksandra Zajac
VC Investor, Antler
Alex Wilson
Principal, White Star Capital
Konrad Koncerewicz
Head of VC & Startups, Vestbee
Adam Rudowski
General Partner, Level2 Ventures
Marcin Laczynski
Partner, Next Road Ventures
Magdalena Pawłowska
Partner, Level2 Ventures
Paweł Maj
Partner, Warsaw Equity Group
Noémi Szabó
Investment Manager, Herius Capital
Pratima Aiyagari
Partner, Nauta Capital
Greta Monstavice
Co-Founder & CEO, Katalista Ventures
Elena Salamandîc-Alijošienė
Partner, Katalista Ventures
Magdalena Zatorska
Manager, Vestbee
Tatjana Zabasu Mikuž
Managing Partner, South Central Ventures
Silke Horakova
Co-Founder & Partner, Tilia Impact Ventures
Marija Butkovic
Startup Mentor, Venture Partner, Simsan Ventures
Elina Kochenko
External Communications Manager, Flyer One Ventures
Lisa Brouwer
Investor, Curiosity VC
Kart Siilats
Investment Partner, Mojo Capital
Ankit Kalyani
MBA Launch Associate, Amazon
Mia Chang
Solutions Architect, Amazon Web Services
Jenny Vega
Solutions Architect, Amazon Web Services
Flora Eggers
Solutions Architect, Amazon Web Services
Eliad Maimon
Solutions Architect, Amazon Web Services
Eitan Sela
Solutions Architect, Amazon Web Services
Monika Synoradzka
Co-Founder & Managing Partner, SpeedUp Venture Capital Group
Marton Medveczky
Investment Director, Flashpoint VC
Participation Benefits
Up To $100.000 AWS Activate* Credits
Access to up to $10K for all participants, $25K for accepted teams & $100K for the graduates!*
*AWS Activate Program rules must apply
Partner Offers & Special Discounts
Access to credits, valuable discounts & offers from AWS Partners for accepted teams
Cloud Support
1:1 meetings with AWS specialists and access to product, regulatory & compliance, security specialists
Fundraising Support
Fundraising tools & support along with access to wide network of global leading VC funds
Marketing & PR
Media exposure
Pitching Session
Pitching to investors and experts
Ecosystem Engagement
Access to the best of Amazon's Machine Learning and Artificial Intelligence, as well as its cloud infrastructure and partner network.
Up To 90% Off
Up to 90% off on HubSpot for eligible startup teams
€15.000 Credits
Stripe Credits: €15.000 for all applicants!
$3000 Credits
For annual Business Plan for up to 25 users with access to unlimited video recordings & more features for all teams!
$50.000 Credits
$50.000 on the Mixpanel Growth Plan for all applicants!
6 months for free
6 months of free Notion towards a Plus Plan, including unlimited AI for all applicants!
Timeline
10th March, 2023
Applications Close
13th April, 2023
Cohort Announcement
1st May, 2023
Acceleration Program Start
18th July, 2023
Acceleration Program Finish
Selection Criteria
To participate in this online and equity-free program you must meet the following selection criteria:
Early-stage company
At least 1 female founder
Tech leader
AI-based use case
Innovation
Market size
Partners
Community Partners
Session 1 - Opening Session
Meet the startups in the program, hear from a successful female founder about her startup journey.
Session 2 - Product Strategy
PR FAQ methodology to help design your product.
Session 3 - How Startups Leverage the Power of AI/ML
Customer stories, AI product strategy and technical overview of AI services.
Session 4 - AI Services
AutoML in AI services (training a model based on your data).
Session 5 - Data
What is the relevant data for ML/AI models. Public data sources, data preparation, synthetic data, data annotation/labeling.
Session 6 - Part 1: Technical workshop - AutoML / Part 2: Responsible AI
Build your model using SageMaker Canvas. / Privacy, Bias and Explainability.
Session 7 - Technical Workshop
Build your own model using Amazon SageMaker.
Session 8 - Advanced Technical Workshop
Experiment management, HPO, model deployment, model monitor, etc.
Session 9 - Startups & Enterprises
How to sell to giant customers?
Session 10 - Webinar
Investor Bias and How to Raise Funding for your AI company?
Session 11 - Clossing session:
Startups demo their work.