Enterprise capitalists have spent the previous few years looking for the subsequent nice AI startup. More and more, they’re additionally utilizing AI to scout for the subsequent OpenAI or Anthropic.
Early-stage buyers are weaving chatbots and brokers into almost each a part of the job: mapping markets, stress-testing concepts, making ready for board conferences, and turning name transcripts into searchable data bases.
Enterprise Insider requested buyers from this 12 months’s Seed 100 and Seed 40 lists about how they use AI of their day-to-day work and which instruments they depend on most. The next has been evenly edited for size and readability.
For constructing a second mind
Courtesy of Salil Deshpande
Salil Deshpande, normal companion at Uncorrelated Ventures:
“I taught my AI agent to run my total again workplace. It handles scheduling end-to-end, runs e mail campaigns, and triages my incoming LinkedIn invites, auto-accepting portfolio founders and related VCs whereas surfacing others for overview. “It acts as a ‘portfolio physician.’ Anybody on my staff and my buyers can e mail with ‘portfolio physician’ within the topic line to ask a query like, ‘What is the ARR or Solid.ai?’ It’ll dig by way of the board decks and investor updates in my Dropbox, synthesize a solution with particular citations, and reply to the e-mail thread.”
Ann Miura Ko, companion at Floodgate:
“First, I spent the previous few months visiting a dozen AI-native corporations in individual to doc how they really function, from 4-person startups to Ramp. I take advantage of AI to ingest all of those discipline notes, cross-reference them throughout corporations, and floor patterns I might by no means see from any single go to. “This has develop into the empirical spine of my evaluation of the AI-pilled startup. The patterns are converging in methods which are reshaping how I consider investments and founders.”
For locating new investments
Chris Michel
Anne Dwane, cofounder and normal companion at Village World
“Agentic workflows assist us pinpoint the ‘first-call’ angels in as we speak’s most promising founder ecosystems. Networks do not stay contemporary on their very own; AI helps us constantly prolong ours into rising expertise swimming pools.”
Alex Bard, managing director at Redpoint Ventures:
“We use inside AI techniques to establish high-potential founders leaving prime corporations and detect early momentum indicators in inception-stage startups (e.g., hiring velocity, product launches, community exercise), giving us a sharper edge in sourcing earlier than corporations are extensively seen.”
Sarah Smith, normal companion at Sarah Smith Fund:
“I’ve constructed a customized 100-point AI scoring framework to judge each inbound alternative and determine whether or not to take a primary assembly. It systematizes my thesis round backing ‘irrationally intense’ founders with explicit weight on the Stanford ecosystem, founder-market match, and early indicators of remarkable achievement.”
For coding inside instruments
Foundation Set Ventures
Lan Xuezhao, founder and managing companion at Foundation Set:
“All of my staff are engineers, and now we have been launching and constructing weekly with AI since 2017.”
Janet Bannister, founder and managing companion at Staircase Ventures:
“I take advantage of AI to mechanically generate a day by day schedule briefing which incorporates for every assembly: the target, attendees (together with LinkedIn profiles of individuals I have no idea), background context primarily based on earlier emails and conferences, and hyperlinks to applicable paperwork.”
Jeff Fluhr, enterprise companion at Craft Ventures:
“I take advantage of AI on daily basis to show enterprise concepts into actual merchandise. Past researching corporations and applied sciences, I take advantage of AI coding instruments to prototype my very own startup concepts so I can consider them extra totally and determine whether or not to convey them to life. Within the final 4 months, I’ve constructed 4 such merchandise. That has modified how I consider new concepts: as an alternative of debating them within the summary, I can get to a working prototype shortly and see what truly holds up.”
Shan-Lyn Ma, cofounder and co-CEO of Zola:
“I am pushing myself to undertake an AI-first mindset throughout every part I do, each at work and in my private life. I constructed a customized ‘Gem’ in Gemini that tracks any new fundraising or exit information from any day of the roughly 50 portfolio corporations I’ve invested in to supply me with a day by day abstract.”
For prepping for pitches
Nice Oaks Enterprise Capital
Henry McNamara, companion at Nice Oaks Enterprise Capital:
“Having the ability to use pure language to ask very particular questions and get laborious information again helps put together for each pitch I take. Given we’re a generalist agency taking pitches in many alternative industries, I’m undoubtedly extra knowledgeable and ready for pitches than I used to be a couple of years in the past. “I like utilizing Claude to steelman my reasoning and logic for investing or passing. It helps herald all kinds of completely different information to check concepts, biases, and blind spots earlier than we debate them internally as a staff.”
Sara Deshpande, normal companion at Maven Ventures:
“Perplexity is my new teammate. I take advantage of it for every part: market analysis, market sizing, aggressive analysis, goal investor lists, studying extra about founders, prepping pre-reads earlier than assembly a brand new firm.”
Jon Soberg, CEO and managing companion at MS&AD Ventures:
“If I see an organization that I actually like, I will scan the market shortly to get a really feel for the aggressive panorama, which is extra essential than ever in our more and more AI-native world.”
For spending extra time IRL
Julie Lein, managing companion at City Innovation Fund:
“Greater than something, AI made our staff deeply conscious of the significance of humanity within the tech and startup world. Because of this, we have been leaning much more aggressively towards in-person occasions, founder conferences, espresso chats, and past. As a result of, within the age of AI, the one factor that stands out is actual human-to-human interplay.”






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