# NIH Funds Salt Lake City Medical AI Platform

The National Institutes of Health awarded Salt Lake City-based MTN (Mountain) a $2.34 million SBIR Fast Track award in July 2026 for Phase I and Phase II research and development of a privacy-preserving platform that maps relationships across fragmented clinical and physiological data systems. The award, identified as R44LM015020, provides approximately two and a half years of R&D funding; it is an existing award, not an open solicitation, and the reported opportunity is centered on potential follow-on work in healthcare data interoperability and AI integration.

- The award supports development of a platform for connecting fragmented health data while addressing privacy, potentially relevant to agencies and contractors pursuing clinical data integration or medical AI work.
- Companies may explore collaboration or commercialization opportunities with MTN, but the signal does not identify an open procurement or quantify customer outcomes.
- The award illustrates NIH SBIR funding as a pathway for developing health technology; firms should distinguish this completed award from currently available solicitations when assessing near-term opportunities.

**Jurisdictions:** federal
**Industries:** Healthcare, Information Technology
**Topics:** Artificial Intelligence, Grants & Funding
**Published:** October 13, 2026

### Government Entities
- National Institutes of Health (NIH)

### Vendors
- MTN (Mountain) (awardee)
- Cyrus Health ()

### Key Quotes
> MTN’s technology helps us scale our AI products across post-acute facilities and supports the transfer of critical information to hospitals
> — Chance Basinger, CEO of Cyrus Health

### Sources
- [MTN Lands $2.34 Million NIH Grant to Help AI Navigate Fragmented Data - TechBuzz News](https://www.techbuzznews.com/mtn-nih-grant-ai-fragmented-data) - TechBuzz News