Residents live freely.
Sensed, never seen.

The clinical system is live. The pilot is running. What scales ambient sensing from thirty-six units to thirty thousand is organizational design — sequencing people, process, and market entry in the right order. That's the experience we're building into the board.

Origin

It started with a problem everyone described the same way

The people closest to memory care kept saying it the same way. The staff caring for residents with dementia are chronically understaffed. The residents are continuously observed by no one. And the technology built to help has been either invasive, unreliable, or just another layer of paperwork.

The insight was simple. Memory care needs continuous, accurate, dignified observation. Not surveillance. Not gadgets. A system that watches the way a thoughtful caregiver would, knows what matters, and tells the right person at the right time.

Goals for the Board of Directors

Three priorities we’re building toward

Product01

Commercialization of Ella AI

Bring the full Ella AI stack to market — from the sensor on the wall to the clinical dashboard nurses actually use. Device and application, together.

Capital02

Seed round

Close strategic capital that accelerates the pilot into a commercial contract and positions Ambient for a Series A on strong clinical evidence.

Growth03

Scale

Grow from one Minnesota operator to a regional network, building the organizational and operational playbook for national deployment.

The platform

The next generation of technology for aging care

Ambient sensing

Contactless 24/7 monitoring

Ambient sensors detect movement without wearables and cameras. Residents move freely without privacy concerns. Dignity is preserved.

Clinical intelligence

Ella AI Nurse Assistant

Ella AI synthesizes continuous sensor data into clinical insights, delivering instant notifications for events and storing longitudinal data for prediction.

Built for LTC

Memory care and skilled nursing

Designed around the constraints memory care actually has. No cameras in rooms. No wearables on residents with dementia. No new burden on stretched staff.

Traction and Progress
Live pilot
36 units
Minnesota senior-living operator
MN Cup 2026
Semifinalist
top 92 of 1,262 ventures
IP
PCT filed
via UMN Technology Commercialization
Backing
ODAT · gener8tor
grant + accelerator

A PCT international application is on file with the University of Minnesota, with additional patents in progress. Details of the expanding portfolio are shared under NDA.

What Ella AI does

Four core capabilities

01

Fall detection

Ella AI detects falls within seconds and alerts staff immediately, day or night, whether the resident is in bed, in a chair, or on their feet. No wearable required.

02

Sleep monitoring

Continuous overnight tracking of sleep quality, restlessness, and time in bed. Ella AI identifies deteriorating sleep patterns before they surface as behavioral symptoms.

03

Behavioral change detection

Ella AI tracks activity rhythms across days and weeks, flagging statistically significant changes that may indicate pain, infection, or cognitive decline.

04

Staff coordination

Alerts, daily summaries, and trend reports flow to the right staff at the right time, through the dashboard or mobile, with no extra documentation burden.

Faded family photographs scattered among autumn leaves
Building the board

We’re assembling a board with the experience to scale this platform the right way. We’d value 30 minutes on where you’d add the most.