Women are building some of the most exciting AI startups today, yet remain underrepresented in the industry. Research shows that only 26% of global AI-related jobs are held by women, and according to the World Economic Forum 57% of jobs at risk of automation are currently held by women.
As artificial intelligence reshapes how startups are built, marketed, and scaled, a new generation of female founders are using AI to move faster, do more with less, and compete on their own terms.
In this webinar, we will be speaking with women building startups with AI at the core. From founders who have upskilled and pivoted to an AI-powered business, to those who have built with AI from day one.
This session will explore what AI adoption actually looks like on the ground for early-stage and growth-stage founders: the tools that have made a genuine difference, the learning curves, and the opportunities they see ahead. Whether you are AI-curious or already experimenting, this webinar will give you practical insight and honest answers from founders who have been there.
I studied Computer Science & Artificial Intelligence at Columbia University (NYC) in 2013 — back when that was a weird niche, not a career move.
Spent 6.5 years trading structured debt at £500m+ balance sheet scale. Learned to make fast, high-stakes decisions with incomplete data.
Then I quit to build yhangry with my co-founder Heinin. No tech network. No warm intros. Just grit and a genuine belief that private dining was broken.
Six years in, we’re YCombinator W22, processing millions in GMV across the UK and US. (Oh and Michael Siebel invested in us personally!)
But the real bet we’re making now is bigger.
We’re rebuilding yhangry from the ground up as an AI-native product. Not AI features — AI agents. This is a generational life changing moment for us.
We’re doing this with a small team, in public, while it’s still hard and messy and the outcome isn’t guaranteed.
Her career spans McKinsey – where she led digital innovation and large-scale transformation for global enterprises across financial services and healthcare – Goldman Sachs, and the Financial Times, where she built and scaled a data and technology advisory business to help over 500 companies innovate and thrive.
A Harvard MBA and Fulbright Scholar, Tara is passionate about ensuring the next generation of leaders reflects the diversity of the world it serves – supporting underrepresented voices and empowering them with the skills and confidence to thrive. She speaks on the real-world trade-offs of deploying AI at scale – for good, and what it takes to close the gap between ambition and execution.
With a background in leading strategic partnerships at Google and developing innovative products at Telefonica, her career touched on various areas of the tech world, having found a sweet spot in designing, developing and bringing robots to the logistics industry to drive significant business value across all warehouse processes.
She is very passionate about educating the world on the benefits and ethics of robotics as well as the importance of building unbiased AI.
