MedTech runs on context. Now AI does too.

Enterprise software is undergoing a fundamental shift. Coding agents have collapsed the cost of building features. Traditional software moats (UX polish, workflow flexibility) are eroding. And the race is on to build a single AI interface that can automate knowledge work across every industry simultaneously.

For most industries, that's a compelling proposition. For MedTech, it raises a more specific question: what does it actually take for AI to work here?

MedTech selling demands a level of context few roles require. A rep needs to have a mental model of dozens of physicians: who's performing which procedures, at what volume, at which facilities, and who’s referring patients to them. They're tracking GPO contract dynamics, new competitive approvals, which surgeons are early adopters and which need peer validation. The best reps build that picture through years of relationships, careful observation, and hard-won territory knowledge. But the landscape never stops moving, and no rep, however experienced, can stay on top of all of it alone.

AI can help, but only with the right foundation. We've spent years building that foundation at AcuityMD. Today, we're putting it to work.

What breaks when you skip the foundation

Companies may try to “DIY AI” by either feeding raw data into a general-purpose AI tool, or by connecting cleaner, modeled data to a generic agent. But claims data is flat: it tells you a procedure happened, not why a surgeon adopted a new technique, how a IDN contract flows into rep behavior, or where volume is shifting before it shows up in the data. And even with cleaner data, the AI layer is still built for all industries. It can retrieve information, but it can’t think like a MedTech rep; it doesn’t know what a good answer looks like for your territory, your products, or your customers.  Reps end up doing the work themselves, prompting and re-prompting to get to something usable, and even then it can miss the mark.

AI will transform MedTech, but only if it knows MedTech. Without the right context, you don't have a smarter rep. You have a faster way to get the wrong answer.

What makes AcuityAI different

The data that drives MedTech commercial decisions is scattered across claims databases, FDA filings, government records, and market signals that shift faster than any team can track. AcuityMD pulls it together into a MedTech-specific ontology: a living map of the healthcare market that captures physicians, facilities, networks, procedures, reimbursement dynamics, and the relationships between them. We align that ontology with each company's own data: their contracts, territories, products, indications, customers, and sales data. The result is a view of the market that's relevant to them.

AcuityAI is what becomes possible when AI is built on that foundation. It brings together three layers of context that no general-purpose AI can match: a deep map of the MedTech market, each company's unique commercial reality (their territories, products, contracts, and customers) and each rep's specific situation. What results is an intelligence advantage that compounds across every rep, every territory, and every decision, and it’s the difference between a commercial team that reacts to the market and one that stays ahead of it. AcuityAI is fundamentally a new way to operate.

Take an all-too-common challenge: a surgery gets cancelled at the last minute, and suddenly a rep has an open afternoon to make up for the missed case. Let's take a look at how AcuityAI can help:

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Five minutes ago, that rep had a wasted afternoon. Now they have a ranked target list, a warm intro, and a call plan, which before would have taken hours to find on their own. AcuityAI gave insights that will lead to a richer conversation – and an opportunity that could otherwise have been missed.

But the value doesn't stop there. Every interaction AcuityAI helps initiate becomes structured data – who the rep visited, when, with what context, and what happened next. That activity flows automatically into systems like the CRM, without requiring reps to log anything manually.

This solves one of the oldest problems in MedTech: CRM data has always been limited by what reps have time (or willingness) to enter. AcuityAI changes that dynamic entirely. This feedback loop means sales leaders are finally working from verified activity data rather than rep self-reporting. And it means AcuityAI gets sharper over time, with every interaction because it's learning from what actually happened in the field.

MedTech reps are already some of the most prepared, most motivated salespeople in any industry. They carry deep clinical knowledge into every room. The constraint has never been effort; it's been the hours swallowed by research and manual reporting that could have been spent in the field. AcuityAI doesn't replace what great reps do. It eliminates the tax on doing it well.

And once you see what that unlocks for a single rep, the question becomes obvious: what does it unlock for the sales leader planning territories, the marketing team preparing a launch, the executive trying to read where the market is heading? Backed by $80 million in new funding, we're moving faster than ever, expanding AcuityAI and deepening our AI capabilities across every commercial persona, and eventually extending beyond the commercial team to every function involved in bringing a medical technology to market.

Medical technology has never been more innovative, and the commercial teams behind it have never been more capable. AcuityMD exists to make sure that potential is fully realized: getting the right technologies in front of the right physicians, faster. That's what we've always been building toward, and this next chapter accelerates it. If this mission resonates with you, we'd love for you to join us.