Pilot Ready · Minneapolis · Summer 2026
Ambient Intelligence the Future of Memory Care.
We transform ordinary care environments into intelligent, sensor-rich ecosystems, continuously monitoring patient wellbeing through ambient AI and IoT, without disrupting the human moments that matter most.
The Opportunity
Care is falling behind
the data it generates
Modern care facilities produce vast streams of environmental and behavioral signals, yet the tools to interpret them remain manual, fragmented, and delayed. Ambient Intelligence closes that gap with continuous, passive AI at the point of care.
We don't add burden to nursing staff; we reduce it. Every insight surfaces only when it matters, informed by each resident's personal behavioral baseline built over months of continuous observation.
Passive Sensing
Room-level IoT sensors capture motion, audio events, and behavioral patterns: no buttons, no wearables.
ML Inference
On-device and cloud models detect anomalies, predict risk, and surface early warnings before events escalate.
Nurse-Centered
Every alert and dashboard view is filtered through clinical workflow, designed with nurses, for nurses.
PHI by Design
Subject-coded pipelines enforce identity separation at the SDK layer. Compliance built in, not bolted on.
Flagship Product
Ella Memory
Ella Memory is our patient-facing intelligent care companion: a purpose-built platform that continuously observes, learns, and communicates meaningful patterns to care teams in real time. Available at ellamemory.com.
- ✓Ambient room sensors: no cameras, no wearables
- ✓Nurse dashboard with prioritized resident list and live vitals
- ✓Behavioral trend analysis over days, weeks, and months
- ✓Secure, coded data pipeline with PHI isolation by design
- ✓Mobile-ready clinical interface for on-the-go care teams
Resident Vitals · Live Feed
Activity index + rest quality
Anomaly Detection
Z-score threshold events
Activity Heatmap
14-day behavioral grid
< 2s
Avg. Response
99.9%
Uptime SLA
3
Devices/Resident
The Hardware
Ella AI Nurse Assistant
The ambient intelligence hardware
At the heart of every Ella deployment is a compact, purpose-built ambient sensor node, designed to disappear into the care environment while continuously capturing the behavioral signals that matter most. No cameras. No wearables. No disruption.
Each node pairs wirelessly in minutes and begins building a behavioral baseline for every resident within range, learning what's normal before it ever flags what isn't.
Motion & Presence
Generates 1M+ behavioral data points per resident per device daily, building a precise, continuously-updated baseline.
Real-Time Events
Instant fall detection and critical alerts pushed directly to nurse mobile devices: zero lag, zero missed events.
Edge ML Inference
On-device models run at <100ms latency with no cloud dependency.
Zero-Camera Design
Complete privacy by hardware. PHI isolation enforced at the silicon level.
$199
Per Device
3
Devices / Resident
5 min
Install Time
DC
Power
Clinical Validation
Minneapolis
Pilot Study
Ella Memory enters a formal clinical pilot in Minneapolis in Summer 2026. The study will measure care team efficiency, early event detection rates, and resident quality-of-life outcomes across participating facilities.
Site Prep & Sensor Deployment
Hardware installation, network config, staff orientation, baseline data collection.
Active Pilot · Monitored Cohort
Full ambient monitoring with care team using the Ella Memory dashboard in real workflows.
Analysis & Outcome Reporting
IRB-reviewed outcomes, model refinement, and preparation of peer-reviewed findings.
Multi-Site Expansion
Scale to additional facilities informed by pilot learnings and validated model performance.
Location
Minneapolis, MN
Partnering with care facilities in the greater Minneapolis metropolitan area for the inaugural real-world deployment of Ella Memory.
Key Study Metrics
- Early event detection rate
- Nurse response latency improvement
- Resident fall prevention efficacy
- Care team workload reduction
- Family satisfaction scores
IRB-Guided Protocol
Pilot designed in alignment with institutional review standards and HIPAA-compliant data governance from day one.
Intellectual Property
PCT Patent
Filing
Our core ambient sensing and machine learning pipeline technology is protected under a PCT (Patent Cooperation Treaty) filing, managed in partnership with the Office of Technology Commercialization at the University of Minnesota. The PCT establishes international priority across member nations, a strong foundation for global commercialization.
PCT Protected
Patent Cooperation Treaty
Filed through the University of Minnesota Office of Technology Commercialization, one of the nation's leading university technology transfer programs.
University of Minnesota OTC
Technology Transfer Partner
Technology
AI at the Core
Every layer of the Ambient Intelligence platform is built with machine learning as a first-class citizen, from edge firmware through cloud inference to the clinical dashboard.
Signal Processing
FFT + moving average on continuous sensor streams
Anomaly Detection
Z-score and IQR outlier models with clinical thresholds
Behavioral Patterns
14-day activity grids reveal individual baselines
Model Accuracy
Benchmark on labeled clinical event dataset
Edge Computing
Sensor-level ML inference with sub-100ms latency. Local processing keeps sensitive signals off the network.
Real-Time Pipeline
Streaming architecture processes thousands of sensor events per second across multiple facilities simultaneously.
Adaptive Models
Per-resident baselines trained continuously. The system gets smarter the longer it observes.
Secure by Design
PHI isolation enforced at the SDK layer. Real identity lives only in a browser-local keyring.
Engineering Culture
Built to Move Fast,
Designed to Last
We operate as an AI-native engineering organization. From code review to deployment, AI tooling is woven into every stage of the development lifecycle, accelerating iteration without sacrificing quality or compliance.
AI-Assisted Development
LLM-driven code review, automated test generation, and intelligent incident triage reduce cycle time and human error.
Modern Stack
Next.js 16, React 19, TypeScript: best-in-class tools for velocity. Vercel edge-first infrastructure.
Security-First CI/CD
PHI checks, dependency audits, and compliance gates run on every pull request before any code reaches production.
< 48h
Feature to Staging
Median cycle time
100%
Type Coverage
Full TypeScript
AI-Native
Org Design
LLM in every workflow
Zero
PHI in Transit
Architectural guarantee
99.9%
Target Uptime
Production SLA
Vercel
Infrastructure
Edge-first deployment
Why Now
The Convergence Is Here
Three forces have aligned to make ambient care intelligence inevitable: IoT sensor costs have collapsed, time-series ML has crossed clinical-grade reliability, and the care staffing crisis demands automation that augments, not replaces, human caregivers.
IoT Sensor Cost
$200+/node
< $30/node
85% cost reduction in 5 years
ML Model Accuracy
Research-grade
Clinical-grade
Anomaly detection now production-ready
Care Staffing Gap
Growing crisis
Tech imperative
700K+ nursing shortage projected by 2035
Seed Round · 2026
Investment Terms & Return Path
Raising $3M to complete the Minneapolis pilot, achieve first revenue, and position for FDA Breakthrough Device Designation, with a clear 18-month path to Series A at demonstrated clinical outcomes.
$3M
Target Raise
Seed round · up to $5M with a lead
$12M
Pre-Money
Valuation
$15M
Post-Money
Valuation
~20%
Investor Equity
Priced round
Use of Funds
Lead Investor
Seeking a $1M–$2.5M lead check. Strategic partners with digital health, medtech, or senior care experience preferred.
Valuation Path & Investor Returns
Seed Post-Money
$15M
2026 · Baseline
1×Series A Pre-Money
$55M
18 months post-seed
~3.7× seedExit Target (Yr 5)
$200M+
Acquisition or IPO
13×+ seedSeries A and exit figures are forward-looking estimates based on comparable digital health and medtech transactions. Not a guarantee of returns.
Milestones Funded by Seed Capital
Q3 2026
Pilot Complete
Minneapolis 50-resident study delivers IRB-validated 6-month behavioral outcomes dataset.
Q4 2026
First Customer
First paying SNF facility contract signed. Operational MRR established; pipeline of 5+ LOIs.
Q1 2027
FDA Filing
Breakthrough Device Designation application submitted. 510(k) de novo pathway initiated.
Q2 2027
Mfg. Scale-Up
Sensor node manufacturing partner selected. Per-unit cost locked at volume pricing.
Q2 2027
IP Prosecution
PCT national phase entries filed: US, EU, Japan. Co-filing with University of Minnesota OTC.
Q3 2027
Series A Raise
$15M at $55M pre-money. Triggered by $1M+ ARR and peer-reviewed clinical validation.
Q4 2027
Multi-State Ops
10+ facilities across MN, WI, and IA. Channel partnerships with regional SNF operators.
2028
510(k) Clearance
FDA device clearance unlocks hospital-grade deployment and CMS reimbursement pathways.
Ready to Transform Care Together?
We're selective about our investment partners; we want people who understand that the intersection of AI, IoT, and clinical care is not a feature, it's a paradigm shift.