For startups & data companies
Experienced data executives, as an extension of your team.
We are a team led by experienced founders and data executives who have built and scaled startups, working as a strategic extension of yours. We learn how your business operates, then build and train that judgment into AI agents that do the work. Hivemind by AgentScore is how we do it, and your knowledge stays yours.
Case studies
What our customers say.
“AgentScore enables us to add significant leverage to our business. They’ve built startups before and they brought founder and executive judgment about how a data business actually works, then hired and trained agents for our specific workflows so that judgment runs through our work every day. It’s like adding 10x hires without adding headcount.”
Vishnu Sampathkumar and Shiv Kampani
Founders of Autumn AI (YC W26)
“We didn’t want another AI tool. We wanted people who had actually built a successful company. AgentScore gave us both: founders and data executives who know where the money and the risk sit in a deal, how partnerships get done, and who can hire+train agents around these workflows. It gives our team leverage we could never have hired for.”
Shengkun Ye and Feiyou Guo
Founders of Monid
Who you work with
We have sat in your seat.
Sean and Varun helped build People Data Labs, a people and company data business: Sean cofounded it and was its CEO, and Varun was its Chief Product Officer. They know what it takes to grow a data company, from product, engineering, sales, legal, hiring, fundraising, and more. They are the people you work with. We are building out our team further.
Sean Thorne
Cofounder
Sean cofounded People Data Labs and ran it as CEO from inception to mid-8-figure ARR scale, running all GTM, hiring, fundraising, and much more.
Varun Villait
Cofounder
Varun has spent 15 years building data and fintech products, leading teams from early stage through scale. He cofounded Industry, and most recently was Chief Product Officer at People Data Labs from 5M to 40M ARR, where he owned product, PLG, self sign-up, and was involved with customers.
Backed by
Auren Hoffman
Flex Capital
Founder of LiveRamp and SafeGraph
Michael Cardamone
Forum Ventures
Jeff Fluhr
Cofounder of StubHub
How we work
We work as part of your team.
We start with your business
We begin working with you as consultants to learn your business and form deep personal relationships.
Then we put that judgment to work
We build it into AI agents that apply it across your business in many areas while we remain close as humans in the loop.
Your people make the calls
You and your team are the leaders, working with us and the agents, which over time build a powerful company that you run.
We stay on the team
After go-live we keep it current and keep sharpening it: the corrections your people make carry forward, and every rule is re-checked after every change.
What the agents do
Your judgment, applied across the business.
Sales research, with the reason to call
An agent that finds the accounts worth your team’s time and the dated, sourced reason to reach out now, and remembers who it has already surfaced. It works from the customer profile your leaders set and drafts the intro when you ask. One of your people sends every message.
Marketing, in your own voice
Posts for X, LinkedIn, and Instagram in the voice your company defines, charts built from your own numbers, and campaign images and video. A number reaches a draft only once the person who owns it approves, and nothing is published without a yes.
Data partnerships, in one place
Every data partner sends files in its own layout. An analyst learns each one once, with a person confirming it, then reads every later delivery the same way, so partner data lands in one place your team can ask questions of.
Data QA on every delivery
Each file is checked against its own totals before it is saved. What cannot be placed gets flagged rather than guessed, two periods measured differently are never compared as if they matched, and every figure traces back to the file it came from.
Contracts, to your standard
Every data licensing agreement read against a standard encoded from years of selling data, including the clauses that should be there and are not. New paper is drafted from the same standard and marked as a draft for your counsel.
And the rest of the job
Answers from your own handbook with their sources, plus agents for the work you choose: the digest, the update, the document. Every output arrives as a draft for your yes.
- Every answer names where it came from
- Where your rules are silent, it asks instead of guessing
- Every correction your people make carries forward
- A record of every action and approval that you can verify yourself
Where to start
Start with one workflow.
Pick the job where your team's judgment is stretched thinnest: the pipeline, your voice in public, partner deliveries, or the paper. We build one agent for it, live by a named date, with success written down in your words before we start. We need the person whose judgment it should carry for a few working sessions.
Bring experienced data executives onto your team.
One workflow agent to start, success defined in your words, live by a named date.