SafelyYou vs Sensi AI
If your failure mode is treating these as interchangeable AI monitoring for older adults, the differences that matter are the sensor, the buyer, and what is actually validated. SafelyYou puts an event triggered camera in senior living bedrooms, concentrated in memory care, and wraps it in the strongest oversight loop in the lane: RNs, OTs, and PTs review each fall video in huddles against a 50 point analysis, backed by government funded NIA evidence. Sensi AI puts audio pods mainly in private homes for home care agencies, and detects a far wider set of conditions from sound. SafelyYou is deeper and better evidenced on the single job of falls in a facility. Sensi is broader and less validated across many signals in the home. Setting decides more than sensor here.
- The deepest clinical loop on the single job of falls: event based fall video reviewed by RNs, OTs, and PTs against a 50 data point analysis in huddles to change the care plan, with the vendor supplying the clinical expertise to run it, earning the lane's only A on oversight.
- Government funded evidence provenance: NIA Small Business Innovation Research grants over 2.8 million dollars supported a study reporting a 41 percent fall reduction and a 69 percent drop in ER visits, stronger provenance than vendor commissioned work.
- Scale and focus in the highest risk setting: more than 800 communities over seven years with a stated memory care concentration, where residents are least able to self report a fall.
- Breadth across conditions and settings: audio detection of falls plus possible UTIs, pneumonia, early cognitive decline, and sentiment, for home care agencies rather than facilities, which is the right fit if care happens in the home.
- Audio over cameras as a deliberate privacy choice for the home, less visually invasive than an in room camera, with a clinical team continuously adding grounded data points.
- Serving a reported 80 percent of the largest home care networks in North America with revenue tripling three years running, an adoption signal of real renewal.
Side-by-Side
| Axis | S SafelyYou |
S Sensi AI |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model and Technology Transparency | — | — |
| Clinical and Operational Evidence | ||
| AI Safety and PHI Stewardship | ||
| HIPAA and BAA Posture | — | — |
| Security Certifications and Trust Center | — | — |
| FDA and Regulatory Status | — | — |
| AI Governance and Bias Disclosure | — | — |
| EHR and Interoperability Depth | — | — |
| Deployment Model and Data Residency | — | — |
| Commercial Transparency | ||
| Setting and Specialty Coverage |
These fit different settings, so the comparison is less about which is better than which matches your care model. SafelyYou uses a bedroom camera and is graded B on privacy for it, with a stronger oversight loop and government funded evidence; Sensi uses audio, also B on privacy because always on sound captures visitors and family who never consented, with retention and processing terms undisclosed. Sensi's broad clinical detections rest on adoption rather than a published sensitivity study, while SafelyYou's evidence is concentrated on falls. Neither publishes a rate card; Sensi discloses its agency subscription model, SafelyYou does not, and SafelyYou frames part of its value as increased length of stay, so model occupancy effects alongside cost.