Sixtyfour - Bloomberg Terminal for sales
We help hypergrowth companies deploy custom research agents that map their TAM and surface real-time, tailored market signals.
Enterprise sales teams spend 50% of their time on research that misses the mark. Here's why — and how we're fixing it.
Hey everyone! We’re Saarth & Christopher – the founders of Sixtyfour. 👋
TL;DR
Sixtyfour AI is the Bloomberg Terminal for sales. We work with hypergrowth companies to deploy custom research agents that map their Total Addressable Market and deliver real-time market signals, fully tailored to what matters most.
Customers like Mercor, Traba, Hockeystack, and Conduit use Sixtyfour to stay ahead of the curve.
🧠 The Enterprise GTM Problem
If you’re selling into a niche or regulated market ( health systems, manufacturing, fintech, govtech, and so on), you already know: generic data platforms don’t work.
Here’s why:
💡 “Intent signals” are too broad
Most tools will tell you someone visited a pricing page. That’s not useful when you’re selling a $250K solution into a regional hospital network or a logistics hub in the Midwest.
🧱 The nuance is everything
Enterprise sellers ask real questions:
Did that manufacturing facility just expand its fleet?
Does it have two or three parking bays?
Did that nursing home file a new Medicare cost report?
Is the new VP of Ops a better entry point than the outgoing admin director?
These are the signals that drive pipeline and predict fit, and no off-the-shelf platform can give you that.
🔍 Static filters can’t model your ICP
Try finding “companies that just adopted Drift, expanded their marketing team by 30%, and hired a new CRO in the past 90 days” in traditional tools. Impossible. Our agents live in that world
✨ The Sixtyfour Advantage
We don’t sell contact lists. We build intelligence infrastructure for your GTM engine.
📍 Custom TAMs, always current
We work with your team to define and continuously update your market using real-world, dynamic data — regulatory filings, facility attributes, staff movements, and even track infrastructure like parking lot size.
📡 Proprietary real-time signals
From Medicare cost report changes to decision-maker exits to new vendor adoption — we detect what matters to your team, as it happens.
🧠 Deployable custom ML models
Have internal data on close rates, deal velocity, or expansion triggers? We plug it in.
We can train and deploy custom ML models to estimate buyer readiness, ICP fit, churn risk, and more, directly tailored to your pipeline data.
🤖 Agents that think like your best rep
Our AI agents mirror your go-to-market motion, tracking, qualifying, and notifying you at the exact right time.
👥The Team
We’re both repeat founders who have built and sold into complex markets.
Saarth is a UC Berkeley Data Science grad and ex-Whatnot (YC W20), Deepgram (YC W16), and Stanford researcher. He previously sold Internalize, built one of the first conversational AI agents (Dart), and has been building products since age 10.
Christopher, a Cornell dropout, led GTM at Onyx (YC W24) and built sales AI tools at Symbl. He’s a CalHacks AI winner and ex-analyst at Cornell Atkinson, with deep experience across AI, ops, and consumer tech.
We’ve lived the pain of building GTM systems by hand, and we’re building the platform we always wished existed.
👋 Our Ask
🏢 Know a GTM, RevOps, or sales leader at an enterprise or hypergrowth vertical SaaS company? Send them to sixtyfour.ai — we’d love to chat.
💬 Frustrated with generic signals and shallow filters? Let’s build something that works for your team.
Every intro, share, and shoutout means the world. Thank you — we’re just getting started.
