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.

Participation Benefits

Up To $100.000 FREE 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
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Partner Offers & Special Discounts

Access to FREE credits, valuable discounts & offers from AWS Partners for accepted teams

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Cloud Support

1:1 meetings with AWS specialists and access to product, regulatory & compliance, security specialists

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Fundraising Support

Fundraising tools & support along with access to wide network of global leading VC funds

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Marketing & PR

Media exposure

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Pitching Session

Pitching to investors and experts

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Ecosystem Engagement

Access to the best of Amazon's Machine Learning and Artificial Intelligence, as well as its cloud infrastructure and partner network.

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Up To 90% Off

Up to 90% off on HubSpot for eligible startup teams

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€15.000 Credits

Stripe Credits: €15.000 for all applicants!

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$3000 Credits

For annual Business Plan for up to 25 users with access to unlimited video recordings & more features for all teams!

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$50.000 Credits

$50.000 on the Mixpanel Growth Plan for all applicants!

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$1000 Credits

$1000 in FREE credits for all-in-one Notion workspace for all applicants!

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10th March, 2023

Applications Close

30th March, 2023

Cohort Announcement

1st May, 2023

Acceleration Program Start

10th July, 2023

Acceleration Program Finish

Selection Criteria

To participate in the program you must meet the following selection criteria:

Early-stage company

At least 1 female founder

Full-time tech leader

AI-based use case


Market size

Strategic Partners

  • Vestbee logo
  • Next Road Ventures logo
  • Sunfish Partners
  • Molten Ventures
  • Augmentum Fintech
  • Nauta Capital
  • Logo Ventures
  • Nvidia Inception Program
  • Baot
  • Ibex Investors
  • Slimmer AI
  • AI.NL
  • Women in AI
  • WeBloom
  • IBI Tech Fund
  • Yazamiyot
  • Datahack
  • Zafy Tody
  • Data Science London

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: Build your model using SageMaker Canvas. Part 2: Responsible AI - 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.


Join AIm High AI Bootcamp for Female Founders & Take Your Startup To The Next Level

The material presented via this website is for informational purposes only. Nothing in this website constitutes a solicitation for the purchase or sale of any financial product or service. Material presented on this website does not constitute a public offering of securities or investment management services in any jurisdiction. Investing in startup and early stage companies involves risks, including loss of capital, illiquidity, lack of dividends and dilution, and it should be done only as part of a diversified portfolio. The Investments presented in this website are suitable only for investors who are sufficiently sophisticated to understand these risks and make their own investment decisions.

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