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Founded by Saarth Shah & Christopher Price
They are 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.
They have lived the pain of building GTM systems by hand, and they are building the platform they always wished existed.
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:
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.
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.
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
They don’t sell contact lists. They build intelligence infrastructure for your GTM engine.
They 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.
From Medicare cost report changes to decision-maker exits to new vendor adoption — they detect what matters to your team, as it happens.
Have internal data on close rates, deal velocity, or expansion triggers? They plug it in.
They can train and deploy custom ML models to estimate buyer readiness, ICP fit, churn risk, and more, directly tailored to your pipeline data.
Their AI agents mirror your go-to-market motion, tracking, qualifying, and notifying you at the exact right time.
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