Get your tools in the hands of 50,000 AI professionals, founders, and builders!

• Access to high-intent, active AI audience

  • AI professionals, builders, founders, influencers, and operators

    • Companies pay 50% more for campaigns from women

      • Women buy from women

• Accelerated product adoption

  • Participate in our Educational Tracks

    •  84% of women professionals adopt a tool  after seeing a live demo

      • ​Women lead 2.3× more internal AI enablement sessions on hybrid teams

    • Women adopt genAI tools 3x faster YoY

  • Hackathons and challenges are POCs

• New demographic segment to expand TAM by 30-40%/ $1-2b

  • 70-80% of most AI product user bases are male

  • Women are 2-3x more likely to adopt tools recommended by a trusted community

    • ​Female founder and operator segment is growing 2-3x faster annually (the FASTEST growing segment in AI)

    • 24% increase in retained users

    • 36% of women adopt products from creators compared to 21% of men (nearly 2x the rate!)

  • Women show a 32% increase in paid subscribers

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Find female talent!

Women remain dramatically underrepresented in AI technical roles!

• Only 22–28% of AI technical roles are held by women​

  • Companies with diverse technical teams outperform the market by 33%

  • Companies with diverse AI teams bring AI products to market 4–6 months faster due to fewer redesign cycles

  • Women are entering ML ops, prompt engineering, data science, and AI product roles at 4× the rate they did three years ago

  • Teams with at least one woman in technical leadership see:

    • 63% higher ROI

    • 2.5× more revenue per dollar raised

    • More consistent and structured tool evaluation processes

• In AI product, ML, and research teams, women make up fewer than 15% of contributors

  • Yet women in AI roles upgrade skills at 2–3× the rate of their male peers

  • Women complete more certifications, labs, and training

• 85% of AI projects fail when teams lack diverse technical talent

  • AI bias can increase operational error rates by 20–35%

  • Companies spend $8–15M per model remediating bias issues after deployment 

  • Regulators in the U.S., EU, and UK have all issued warnings: biased models will trigger investigations and penalties.

  • AI systems built without diverse talent generate 30–40% higher error rates for underrepresented groups

    • ​78% of documented AI harms came from teams that had no women or minimal demographic diversity

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Find Female-founded AI startups to fund!

They outperform male-founded teams on every key metric!

• Women receive only ~2% of venture capital

  • Valuations at pre-seed and seed are undervalued relative to performance

  • This creates a rare opportunity for:

    • Higher ownership

    • Better entry multiples

    • Better capital efficiency

    • Lower risk per dollar deployed

• Female-founded companies deliver 63% higher ROI on average

  • 2.5× more revenue per dollar raised

    • ~$0.78 revenue per VC dollar, versus ~$0.31 for all-male teams

  • 20–35% stronger customer retention over 3 years

• Women over-index in AI categories:

  • Enterprise productivity

  • AI safety, governance, compliance

  • Healthcare AI

  • Education AI

  • Future of work

  • Applied generative AI

^ These verticals show 25–40% faster growth and significantly higher survival rates than consumer AI

• Compared to male counterparts, women founders are:

  • 2× more likely to have advanced technical degrees

  • 30% more likely to have industry domain expertise

  • More likely to adopt responsible AI frameworks early (reduces regulatory exposure)

  • More capital efficient during GTM

  • Produce models with 30% fewer bias failures

  • Have 25–35% higher accuracy on fairness-aligned tasks

  • Face lower regulatory and compliance risk

  • Avoid expensive model remediation (often $8–15M per incident)