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How an Indian Immigrant with No Background Raised $25M | FurtherAI, Aman Gour

EO13:12Added Aug 31, 2026

From a small town in central India to building one of the most promising AI startups in insurance — Aman Gour’s journey is a story of relentless focus and vertical conviction.

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Contributed by 刘嘉琪

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  1. Intro

  2. 00:00I hail from a small town in central part
  3. 00:03of India. From there on went on to do
  4. 00:06computer science from IIT Bombay. It was
  5. 00:08definitely a big milestone to get into
  6. 00:10IIT. Not just for me but for my [music]
  7. 00:11entire family. Well, I remember my
  8. 00:13father celebrated it big time when he
  9. 00:16got to know I got into IITs. During IT
  10. 00:18Bombay always wanted to start something
  11. 00:20of my own because I come from a business
  12. 00:22background. My father was a businessman.
  13. 00:29The next chapter was about deciding what
  14. 00:31should I do when I'm here. It's actually
  15. 00:33pretty [music]
  16. 00:34uncomfortable to start a new company in
  17. 00:36a completely new place where you do not
  18. 00:38have a lot of people. One piece of
  19. 00:41advice that I would give to any
  20. 00:43entrepreneur is to go vertical. Pick an
  21. 00:45industry that you like. Even better
  22. 00:47[music] if it's uh an industry that is
  23. 00:49unsexy. It was a hard choice cuz we do
  24. 00:52not come from any industry. going
  25. 00:54vertical in an industry feels like a
  26. 00:56hard selection problem like how should
  27. 00:59we uh pick an industry. Looking back uh
  28. 01:01with the benefit of hindsight I feel
  29. 01:03[music] that it was a blessing in
  30. 01:04disguise. We looked at every workflow
  31. 01:07every problem from first principles
  32. 01:10point of view. The most important thing
  33. 01:11is pick [music] the right market then
  34. 01:13pick the right team and then build the
  35. 01:15right product.
  36. 01:17Hi my name is Saman. I'm co-founder CEO
  37. 01:19of Further AI. At Further AI, we're
  38. 01:22building the AI workspace for insurance
  39. 01:25to take away the busy work involved in
  40. 01:28various different workflows and we are
  41. 01:30now announcing our new series A with the
  42. 01:33and recreovitz and one of the largest uh
  43. 01:35series A rounds in insurance AI. We have
  44. 01:38crossed [music] million in revenue. We
  45. 01:41just focused on insurance despite not
  46. 01:43having any background. Go vertical.
  47. 01:46Focus on an industry rather than
  48. 01:48building a horizontal software

  49. Do the Hard Things First

  50. 02:01as a kid. Uh have been top of the class
  51. 02:03have been that guy who sits in the front
  52. 02:05bench. My father kept actually raising
  53. 02:07the bar for me. I was in a school if I'm
  54. 02:09doing great he would move me to a school
  55. 02:11which had more competition. So more
  56. 02:13smarter people. So then I have to
  57. 02:14compete. Getting into IITs is often
  58. 02:17really hard. This it's a very
  59. 02:18competitive exam. I had this initial
  60. 02:20pressure of competing with now the best
  61. 02:23of brains [music] or like top 50 or 100
  62. 02:26brains. Quickly realized that my
  63. 02:28strength has been always I'm the hardest
  64. 02:30worker in any room. That has really
  65. 02:32helped me in the first two years at IIT
  66. 02:34Bombay. I got like perfect grades and so
  67. 02:36on. But then realized that maybe it's
  68. 02:38about time to sort of explore other
  69. 02:40things. And that's where I got more
  70. 02:41active in sports, cultural aspects of
  71. 02:43things, in like the politics part of
  72. 02:45things as well. That was fun. That
  73. 02:47helped me learn more about myself and
  74. 02:50[music] about how the world functions.
  75. 02:53During my college years, I did
  76. 02:55internship [music]
  77. 02:56uh at Microsoft. One thing I'm really
  78. 02:58proud of building at Microsoft was a
  79. 03:00small project team that started
  80. 03:03Microsoft Community Training, which was
  81. 03:05about training and employment of [music]
  82. 03:07bluecollar workers. got a chance to
  83. 03:09build that project from grounds up with
  84. 03:11uh [music]
  85. 03:12my mentor and my manager. That was super
  86. 03:14fun. Got a chance to travel across the
  87. 03:16world to South Africa, different parts
  88. 03:19of the world as well to launch [music]
  89. 03:21that product. So during Microsoft uh
  90. 03:23there was a hackathon project that we
  91. 03:25did which was about uh matching
  92. 03:27candidates with jobs. [music] It was a
  93. 03:29fun project I think like we also won
  94. 03:32that hackathon with that project. I was
  95. 03:34young back then. So I felt that okay
  96. 03:36maybe this could be the idea that will
  97. 03:39change [music] the world and uh it was
  98. 03:41funny at that point in time every
  99. 03:42software engineer that wanted to change
  100. 03:44the world started a HR tech company. So
  101. 03:46I started an HR tech company. When I
  102. 03:49moved from Microsoft and started turbo
  103. 03:52hire I was fascinated by building
  104. 03:53something that uh can allow for search
  105. 03:56on top of large rum databases. It was my
  106. 04:00first uh journey as an entrepreneur. So
  107. 04:02building something from scratch uh with
  108. 04:04my co-founders and taking it to billion
  109. 04:06dollars in ARR. I had to [music] decide
  110. 04:08between running a company back in India
  111. 04:10or being with a person I really loved.
  112. 04:12That was the primary reason for me to
  113. 04:15move the US. I asked my wife okay what
  114. 04:17what should I do next? Should I join a
  115. 04:21big tech or join an early stage company
  116. 04:23and things like that? She mentioned that
  117. 04:24ammon you like to build you are wearing
  118. 04:27a chip on your shoulder uh and you want
  119. 04:29to build a big public company why don't
  120. 04:32you give it a try so those were the
  121. 04:34initial months of further AI where I was
  122. 04:36not sure whether I'll build my second
  123. 04:38company or not knowing what I know about
  124. 04:40building companies and how [music] hard
  125. 04:42those uh that journey could be one thing
  126. 04:45about me is like I [music] think which
  127. 04:47is I think about a lot of founders is
  128. 04:48they seek discomfort because if you do
  129. 04:51hard things early on life becomes easier
  130. 04:53That's where I think it's consistent in
  131. 04:55uh moving to um Bay Area starting in
  132. 04:58insurance and now my father is not
  133. 05:00raising the bar for my own self I am
  134. 05:02raising that bar for myself. So now
  135. 05:04every step when I feel that I've met the
  136. 05:06bar I would just raise it to the next
  137. 05:08big thing which [music] is like yet
  138. 05:10another hill to climb. The philosophy of
  139. 05:12life is simple that yeah keep doing hard
  140. 05:15things good things will happen you'll
  141. 05:16learn more [music] and at the end when
  142. 05:18you look back you'd feel that yeah
  143. 05:20you've come a long way

  144. Go Vertical — Especially in an “Unsexy” Industry

  145. 05:27in the early days of uh further AI we
  146. 05:30started actually with a problem
  147. 05:31statement which was very comfortable to
  148. 05:33build the problem that I faced uh in my
  149. 05:35first company which was about and
  150. 05:37building AI agents for software testing
  151. 05:39applied to YC with that we got
  152. 05:41shortlisted and so on and in the early
  153. 05:43days of YC uh Sashan was having a
  154. 05:45conversation with [music] Michael Cebu
  155. 05:47we realized that this might be a tarpit
  156. 05:49idea an idea that we are not uniquely
  157. 05:51capable uh as a team to build that's
  158. 05:54where during YC we pivoted my advice to
  159. 05:56every founder doing YC do not pivot
  160. 05:58during YC but we pivoted during YC we
  161. 06:00had no idea what to do that is where Tom
  162. 06:03Bloomfield who was our YC partner said
  163. 06:05that you guys have a unique combination
  164. 06:07of building a company and AI so Sashank
  165. 06:10who is My co-founder [music] has AI
  166. 06:12experience. I had previously built a
  167. 06:14company. So he said that why don't you
  168. 06:16guys go vertical. [music]
  169. 06:17Pick an industry partner with it and it
  170. 06:19was a hard choice at that point in time
  171. 06:21because we do do not come from any
  172. 06:23industry. So we created actually some
  173. 06:24rules. We created three roles.
  174. 06:26Industries where there is a lot like lot
  175. 06:28of unstructured data could be good
  176. 06:30industries because now LLMs can process
  177. 06:32that faster. Industries which has labor
  178. 06:35shortage and shrinking margins. The
  179. 06:38first one allows for uh why now in terms
  180. 06:41of technology but the the later two
  181. 06:44allows for why now in terms of business.
  182. 06:46So whatever we build will get [music]
  183. 06:48adopted faster. So we shortlisted three
  184. 06:50industries mortgage legal and insurance.
  185. 06:53I remember like we drove drove around
  186. 06:55the Bay Area with a box of donuts
  187. 06:57[music] going from one insurance agent
  188. 06:58to the other learning about their
  189. 07:00workflows uh talking about what problems
  190. 07:03they face. It was a scary experience to
  191. 07:05say the least. But uh we learned a lot
  192. 07:08in that process. Also we got over our
  193. 07:11initial fear of unknown as well. And
  194. 07:13then that gave us initial insights into
  195. 07:15different workflows that currently exist
  196. 07:17in insurance. We started we took that
  197. 07:19knowledge that we gathered in these site
  198. 07:21visits. Looking back uh with the benefit
  199. 07:23of hindsight I feel that it was a
  200. 07:25blessing in disguise. We looked at every
  201. 07:28workflow, every problem from first
  202. 07:30principles point of view without making
  203. 07:33assumptions that that's how things
  204. 07:35should be. I remember this one workflow
  205. 07:37where underwriting teams or carriers
  206. 07:40requested brokers to fill the forms on
  207. 07:43their website. So everybody was building
  208. 07:46these web portals [music] and I felt
  209. 07:47that that is possibly not the best way
  210. 07:50because brokers did not like filling
  211. 07:52data over portals and nobody likes
  212. 07:53filling data over portals. [music] what
  213. 07:55everybody wanted is can I just send this
  214. 07:57email to you uh whereas a lot of teams
  215. 08:00were actually spending money and time
  216. 08:02and energy in building these portals so
  217. 08:04we question that okay why don't you
  218. 08:06accept a submission over an email
  219. 08:08[music] and then let AI fill this data
  220. 08:11in your internal portals rather than
  221. 08:13making human team members do that which
  222. 08:15they don't like doing this way you can
  223. 08:17increase the sub to code ratio the code
  224. 08:19tobind ratio and so on so forth it's
  225. 08:21good for business and good for customer
  226. 08:23experience uh and so on. So by thinking
  227. 08:26of things from first principles point of
  228. 08:28view allowed us to really build
  229. 08:31something which I think that if I was
  230. 08:35from the industry I might not have
  231. 08:37because I would have felt that this is
  232. 08:39how things have been.

  233. Build Trust at the Dinner Table

  234. 08:46Insurance usually is labeled as slow to
  235. 08:48adopt technology but on the ground what
  236. 08:50we were seeing was people really wanted
  237. 08:52to automate the workflows that were
  238. 08:54manual and repetitive. One thing I've
  239. 08:56learned is the best sales tool today is
  240. 08:58a dinner table like you should meet
  241. 09:00people in person try to have a
  242. 09:02conversation try to understand problem
  243. 09:04and then equally about they buying the
  244. 09:06product but it's also about they buying
  245. 09:09like you in some sense and form that hey
  246. 09:12I want to work with you. So that's one
  247. 09:15big learning that uh has happened that
  248. 09:18people work with people. Apart from that
  249. 09:20other things about sales that we learned
  250. 09:22is like outbound works. Yes. But [music]
  251. 09:25one big trick that worked in the early
  252. 09:27days is called show me you know me. Try
  253. 09:29to actually do things that don't scale
  254. 09:32like why says. So we wrote a lot of
  255. 09:33emails which were like extremely
  256. 09:35personalized to people. That really
  257. 09:38helps in getting a response because then
  258. 09:40the other person knows that you've
  259. 09:42really written that email just for them
  260. 09:44and not massmailing mailing it to them
  261. 09:46and takes a lot of effort to write such
  262. 09:48emails but it really works as well. So
  263. 09:51putting myself in the shoes of uh the
  264. 09:54buyer really helps. Let's say if I'm
  265. 09:55buying a technology software for 100k I
  266. 09:58don't want to log get logged into a
  267. 10:00contract for a year before I give
  268. 10:02[music] it a spin. So we added things
  269. 10:04like two month opt out and so on. All of
  270. 10:06these are now uh very fairly standard
  271. 10:09practices. [music]
  272. 10:10Even YC recommends all of these things.
  273. 10:12It was interesting to learn all of these
  274. 10:14things. The first time around uh when we
  275. 10:16were building this enterprise sales
  276. 10:18motion,

  277. What’s Next for Further?

  278. 10:23there are two goals that I have in mind
  279. 10:25with further AI. The first one is to
  280. 10:27build a public company. But the second
  281. 10:29one which is also way core to me is to
  282. 10:31build a launchpad uh of success for
  283. 10:34people who come in contact with further
  284. 10:36AI. It could be our customers, it could
  285. 10:37be our team members. And that's where
  286. 10:39like when we hired people or people
  287. 10:42joined us, [music] it's been a lot about
  288. 10:44like high agency and low drama. Uh
  289. 10:47that's the kind of people I work really
  290. 10:49well with. I think there's a saying
  291. 10:50right like you attract your uh tribe and
  292. 10:53I think for me I'm that person who likes
  293. 10:55to solve hard problem run through the
  294. 10:57walls if I have to uh and so on and
  295. 11:00interestingly [music] the team that
  296. 11:01joined further AI had the same DNA
  297. 11:03people who like to work on hard problems
  298. 11:06they don't mind grinding 12 hours a day
  299. 11:09if it if that's [music] what it takes to
  300. 11:11solve a problem or get something done
  301. 11:13and so on so AI is changing fast right
  302. 11:15we all know that the good thing is that
  303. 11:17we are all learning as the ecosystem
  304. 11:19system evolves, we want to be at the
  305. 11:21forefront of it from the insurance
  306. 11:23perspective and be that trusted partner
  307. 11:25for uh our customers to bring in the
  308. 11:28latest efficiencies [music] that AI is
  309. 11:30bringing in. So we have positioned
  310. 11:31ourselves at an intersection of AI and
  311. 11:33insurance and then working backwards
  312. 11:35from the principle that the goal is to
  313. 11:37drive business metrics rather than to
  314. 11:39just build technology for the sake of
  315. 11:41it.
  316. 11:45So a lot has changed since the early
  317. 11:48college days to Microsoft to building
  318. 11:50the first company to now building the
  319. 11:51second company. The funny thing about
  320. 11:53being a second time founder is that the
  321. 11:55lows are lows but the highs are not that
  322. 11:58high because you know there is more to
  323. 11:59build. But uh having said that I think
  324. 12:03as a person I have become more patient.
  325. 12:04have become more people first and my
  326. 12:07narrative shifted from me me to VVV
  327. 12:09[music]
  328. 12:10and that is more satisfying uh as a
  329. 12:12human being and we're building towards
  330. 12:14[music] being the best company in
  331. 12:17insurance and AI. I was discussing with
  332. 12:19uh somebody the title of my biography
  333. 12:21half monk half machine and [music] it's
  334. 12:23interesting I think that describes me
  335. 12:25really well as a person because when I'm
  336. 12:27like wired in or logged in I am like a
  337. 12:29machine [music] like clocking
  338. 12:31uh work on a personal side on uh
  339. 12:34personal side I'm more like a monk I'm
  340. 12:36very patient I look at positive in
  341. 12:39people I'm a glass half full guy I try
  342. 12:42to moderate a lot one of the things that
  343. 12:44I say very often and people who know me
  344. 12:46would possibly roll their eyes [music]
  345. 12:48after listening to this is everything is
  346. 12:50good in moderation. Even moderation
  347. 12:53that's the monk side uh of me. So yeah,
  348. 12:56hopefully someday the book title would
  349. 12:57be half monk, half machine.