MedScout, a startup providing an artificial intelligence-driven commercial strategy engine for medical industry sales and marketing, announced Tuesday that it has raised $10 million in early-stage growth funding.

The round was led by Fulcrum Equity Partners, with participation from existing investors Live Oak Venture Partners and Stage 2 Capital.

Medical technology commercial teams work to productize in a market where strategy works backwards, and marketing tools don’t reflect the reality of the work. Instead, reps must rely on search engines like Google, spreadsheets and data collection to understand the nature of their market to get a handle on their target audiences.

“Medtech companies spend months developing commercial strategies that don’t make it to the field as intended,” said co-founder and Chief Executive Skylar Talley. “MedScout bridges that gap by translating commercial priorities into clear, territory-specific actions.”

The company uses artificial intelligence agents to perform strategy analysis built around specific commercial contexts. This includes how it wins in the market, its definition of a best-fit and other prevailing factors.

To do this, agents draw on industry expertise, best practices and field-tested patterns all from working with hundreds of medtech commercial teams. According to MedScout, each agent has a strategy template designed to identify the accounts and physicians most likely to convert. This capability is known as Strategies and was made available in late 2025.

“In January, our customers deployed 81% more unique AI agents than the month before — evidence that sales teams are seeing value quickly and building on early success,” Talley said.

Examples of how Strategies operate could be with a surgical robotics company for orthopedic surgeons who perform high volumes of total knee replacements for Medicare-heavy patient mixes and haven’t adopted robots. Reps would receive a clear list of likely accounts where the use case would establish adoption.

In another case, a diagnostic medical imaging company could identify primary care physicians in a 25-mile radius who see numerous patients with lung pathologies, but refer patients out to competing practices. Reps could find them the best opportunities for inpatient radiology, opportunities for outpatient imaging, and align them with the right services for biopsies, all at once, finding a local medical commercial supply chain.

This is possible because MedScout’s AI agents connect through providers by examining procedures, diagnoses, payments, affiliations and more. Then compare that to sites of care, specialty mix, patient journey data and align that with the market territory and historical trends, referral patterns. All of this intermix is the mainstay of the unstructured data where large language models and AI agents live to extract insights and turn them into strategy.

Without supplying numbers, the company said its revenue has tripled since its Series A round in July 2024, and monthly active reps are up by 135% month over month as sales teams expand their use of Strategies.

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