Access to TOP 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