Sun Mountain Private Credit Provides Growth Capital to Gestalt Diagnostics

December 29, 2022 – Spokane, WA. Sun Mountain Private Credit is pleased to announce our latest investment. At the end of 2022, we provided growth capital to Gestalt Diagnostics. Gestalt is a Spokane, WA based software company that provides proprietary workflow solutions and data analytics that enable health care systems, pathology labs, pharmaceutical companies, and research institutions to diagnose diseases faster, more accurately and communicate more efficiently.

Gestalt helps solve numerous mission critical problems for their customers including: 

  • Eliminates the cost and the hassle to ship physical glass slides to remote pathologists
  • Enables faster turnaround times as images and information sent instantaneously
  • Improves diagnosis accuracy
  • Increases capacity of doctors

The company is led by a highly successful management team with a unique mix of skills and experiences in the healthcare technology arena including medical devices, pathology lab management, medical imaging software and artificial intelligence. 

We are excited to add Gestalt to the Sun Mountain Private Credit portfolio. 

Sun Mountain Capital

Sun Mountain Private Credit provides highly tailored growth capital to expansion stage technology, healthcare, and business service companies. For more information visit www.sunmountaincapital.com

Gestalt Diagnostics, Inc.

Gestalt Diagnostics transforms pathology through an intelligent, configurable, vendor-neutral, and AI-driven digital workflow that provides true interoperability enabling pathologists to diagnose* diseases faster and more efficiently. Our PathFlow solution consists of professional, education, and research modules for ease of mixing and matching the digital needs of your facility in a single solution, freeing pathologists from tedious, repetitive, and manual tasks allowing them to focus on their expertise, providing invaluable experience where it matters most. 

*Research use only unless following CAP guidelines for LDT.