amazon-alexa
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Priya Abani Learned BASIC at 12. She Has Been Scaling Complex Systems Ever Since.
Before she ran AliveCor, Priya Abani wrote validation tools for microprocessors and helped Alexa escape the Echo. Her career is a study in one portable skill: making complicated technology useful to ordinary people.
Joshua Wong
Joshua Wong is the co-founder and CEO of Hypotenuse AI, a Y Combinator-backed generative AI platform used by Fortune 500 ecommerce brands to write product descriptions, edit images, and manage product data at scale. A Cambridge computer scientist and former Amazon applied research scientist, he started coding at 11 and turned a side project for friends running online stores into a company serving over 500,000 users worldwide.
Eric Steege
Eric Steege is the CEO and cofounder of Olli Health, a Madison, Wisconsin healthtech startup using AI to handle home-health agency coding, OASIS review, and clinical documentation. After more than four years as a product lead on Amazon Alexa's generative AI and subscriptions team - where he launched Alexa's first direct-to-consumer subscription for older adults and caregivers - he co-founded Olli in 2023 to cut the cost and turnaround time of the paperwork that slows down home health reimbursement. By late 2025 the company served over 100 home health agencies and raised a $10M Series A led by Industry Ventures, bringing total funding to roughly $13M.
Ashish Nagar
Ashish Nagar is the Founder and CEO of Level AI, a Mountain View-based enterprise AI company that has raised $73.1 million to transform how contact centers operate. Armed with a B.Tech in Applied Physics from IIT Delhi, a Stanford MS, and a Stanford GSB MBA, Nagar cut his AI teeth building the Alexa Prize at Amazon — a project to make Alexa hold a 20-minute conversation on any topic, collaborating with researchers from MIT, CMU, Stanford, and Oxford. He founded Level AI in 2019 after recognizing that the same ambient AI breakthroughs powering voice assistants could be turned toward the unglamorous but massive world of customer service. The company's vertically integrated, CX-native large language model now analyzes 100% of customer conversations for enterprises like Affirm, Penske, and Carta, detecting seven distinct emotions, cutting call handling time by 10-25%, and onboarding agents 30-50% faster.