Sahitya Senapathy, founder and CEO of Endeavor AI, joins Fund/Build/Scale to talk about launching a solo-founded startup at the intersection of AI and heavy industry.
From building FEMA apps at age 11 to raising $7M before finishing college, Sahitya shares the hard lessons behind the headline.
We dig into:
– Selling AI solutions to manufacturers with no network and no co-founder – What enterprise customers actually care about in early-stage tech – Navigating credibility as a first-time founder in hard tech – Building while still learning — on the floor, in the pitch, as a leader
This is a candid look at what it means to hustle in deep tech without shortcuts or safety nets.
RUNTIME 46:18 EPISODE BREAKDOWN(2:25) How Sahitya’s parents gave him early exposure to manufacturing logistics and culture
(5:42) How working on resilience tech during natural disasters sparked his focus on real-world impact
(8:16) Lessons from Palantir and how the forward-deployed model shaped his customer-first mindset
(9:46) His two-month immersion on the shop floor of a steel factory
(12:05) Why forward deployment contradicts traditional product development models
(15:44) Building a network in legacy industries through conferences, mentorship, and cold outreach
(18:03) How strong references and early pilots drove initial traction
(21:34) “ Starting a company is an extremely hard leap for many people to make. And it just so happened that I almost accumulated all these skills over my life.”
(22:48) Hiring philosophy: high-agency, under-the-radar talent and long-term team-building
(24:39) How he de-risks himself for both investors and potential hires
(28:55) Learning to hire and manage people with more experience than you
(30:20) Why a rejected engineering candidate became Endeavor’s first full-time sales hire
(32:06) The toughest sales objection he’s had to overcome
(34:02) “ You cannot do the forward deploy model without personas.”
(36:11) “ I believe truly at the core that I have unlimited potential, and to that end, there's no point in ever believing that I could be limited by something.”
(38:23) “ The biggest risk you can take is not taking a risk, especially in this day and age.”
(40:43) How to validate your idea before leaving your job or taking a major leap
(44:42) One question he’d ask a CEO before joining an early-stage AI startup
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Thanks for listening!
– Walter.
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