
After three decades selling, scaling and reshaping enterprise software, Introhive's CEO has arrived at a stubbornly human conclusion: the most useful data is the relationship people forgot they had.

After years turning software signals into stories, the Idaho-raised marketing operator traded board decks for batting cages in Napa. Her return to startup life at Common Room ended in a Zoom acquisition - and revealed the same instinct at work in both worlds: build the missing infrastructure, then make it human.

From SAP cloud applications to social listening and graph AI, Paige Leidig has built a career translating complicated technology into a reason to care. His method is brisk, curious and unusually consistent: listen to customers, find the relationship, then make it useful.

After a $200 million AI exit, Joseph Lee did not chase a louder machine. He built Syncly to hear the quiet signals inside customer complaints, support chats and social video - a second act shaped by a life spent translating between worlds.

The Common Room founder turned a lonely childhood, a critic’s career and an AWS blind spot into a new way of seeing buyers - then carried that idea into Zoom.

CVS Pharmacy’s marketing chief built her career where numbers meet judgment. Her operating rule is simple: listen closely, move quickly, and reserve a little room for the big swing.
Keith Frankel is CEO of Totango, the customer success platform, where he is fusing AI churn prediction with customer-led growth. A designer-turned-founder, he ran creative and design at HubSpot through its 2014 IPO, built adaptive-learning product at Firecracker (acquired by Wolters Kluwer), then founded Parative, an AI customer-intelligence startup backed by Bain Capital Ventures that forecast churn with greater than 99% accuracy. Totango acquired Parative in 2024 and folded its tech into the Unison growth-intelligence engine. Before any of it, he produced reality television at MTV.
Varun Sharma is the co-founder and CEO of Enterpret, an AI platform that turns messy, scattered customer feedback into a structured, queryable dataset for product teams. The 15th employee at Amplitude and a former enterprise customer success leader at Scale AI, he spotted a recurring blind spot: teams could track retention to the decimal but couldn't answer 'what are our top three customer pain points?' In 2020 he recruited his brother Arnav, then an Uber engineer, and the two built Enterpret in stealth for roughly 20 months before landing Notion as their first customer. The company raised a $20.8M Series A led by Canaan Partners in December 2024 and counts Canva, Notion, Loom, Strava, Linear, Perplexity and Descript among its users.
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.