A companion for residents and families in assisted living
Sevah gives assisted living communities a companion that keeps residents engaged, connected to family, and supported between staff visits — so families feel closer and communities deliver a more personal experience.
Built for assisted living communities, with staff review preserved before anything reaches the community record.

See the companion workflow with our team.
The browser demo below uses synthetic data. For a guided tour of the full ALF workflow, book time with our team.

Why now
Assisted living communities are being asked to deliver a more personal, connected experience — with family expectations rising, staffing staying tight, and residents wanting more engagement between scheduled activities. The biggest gap isn't more care hours — it's connection between visits, between family calls, and during the stretches when staff are focused elsewhere.
Workflow fit
Companion stays in the apartment, keeps residents engaged with conversation and connection throughout the day, shares wellness updates that families can see, and gives staff a lighter lift between scheduled check-ins. That makes a community feel more personal without asking anyone to do more.
Fits the daily rhythm of community life
Turns daily moments into shared updates
One floor, one community, measurable adoption
Keeps staff review and trust in the community

Product experiences
Sevah does four things for every resident: be present, keep family close, surface what matters, and help the care team start each shift with better context.
Today
A companion that keeps residents engaged, connects them with family throughout the day, and gives staff a lighter lift between scheduled visits.
Where it lives
Lives in the resident apartment and starts with a bounded pilot on one floor or wing of the community.
What it enables next
Creates the room-level signal that supports adjacent workflow decisions later.
Product forms
Core motions
Operator value
Communities get a premium resident-experience differentiator — families stay closer, residents feel more connected, and staff spend less time on low-touch check-ins.
Facility value
Communities get a resident-and-family-facing experience that makes the building feel more personal, increasing move-in appeal and family confidence.
Next workflow
The operating layer above the room: deployment controls, exception routing, fleet visibility, and rollout discipline across wings and buildings.
Where it lives
Lives with the operator, not the resident, as the control plane across units, wings, and buildings.
What it enables next
Turns a working pilot into a repeatable operating system instead of a one-off deployment.
Product forms
Core motions
Operator value
Operators get a cleaner way to standardize pilots, see where workflow is breaking, and expand only when one building is actually working.
Facility value
Regional teams get visibility into which buildings are adopting the workflow well and where service quality is improving.
Longer-term workflow
A service-robot experience for repetitive movement tasks such as supply runs, delivery handoffs, and low-complexity floor logistics that pull staff away from residents.
Where it lives
Lives in the hallways and back-of-house workflow where repetitive movement is stealing time from care.
What it enables next
Extends the stack from room intelligence into physical labor leverage inside the building.
Product forms
Core motions
Operator value
Operators get labor leverage on non-clinical movement work so licensed staff spend more time on care, not hallway transport.
Facility value
Facilities get a clearer path from software-led room intelligence to measurable building-level operating efficiency.
Business outcomes
The case for Sevah is experiential before it is operational. Communities offer it to keep residents more engaged, give families daily peace of mind, and create a premium experience that sets them apart at move-in time — without adding headcount.
Keep residents engaged between scheduled activities and visits
Give families daily wellness updates without extra staff time
Create a premium community differentiator at move-in
Improve family confidence without another full-time liaison
Team and credibility
Sevah's credibility comes from staying narrow: assisted living, resident and family connection, and a premium experience that makes communities more personal instead of adding more software noise. Buyers should see visible engineering work, clear staff-review boundaries, and product decisions shaped by what residents and families actually want.
“Sevah is not pitching generic robotics theater. It is building a companion for assisted living communities that keeps residents engaged and families connected — with staff review built in so nothing happens without the care team.”
Proof and trust
Sevah should be judged on credible workflow boundaries and real deployment posture, not inflated claims. The company story is strongest when it stays brutally specific about where the product fits and what is ready today.
Built for assisted living communities
Designed to fit existing community workflows
Staff review stays in the loop
Pilot-ready deployment, not broad claim inflation
After the pilot
The homepage story starts with resident engagement, family connection, and daily wellness updates. If a pilot proves useful, the same companion can later support activity reminders, community-wide family updates, and a broader rollout across the building.
01
Start where the resident and family experience is already thin — between scheduled visits, between family calls, and during the stretches when staff are stretched.
02
Add daily wellness snapshots and community-wide family updates after the core companion experience is working for residents.
03
Roll the same companion experience into more apartments across the community once residents and families confirm it makes a difference.
Pilot fit
Start with a tightly scoped pilot focused on one floor: resident engagement, family connection, and daily wellness updates. Measure resident satisfaction and family confidence before broader rollout.
No resident-identifying data, unreviewed clinical claims, or inflated outcome numbers are used in this call-to-action path.

Try it live
Talk to Companion in real time and see a simulated documentation workflow built from the conversation.
Demo sandbox using synthetic case data only — no real PHI is used, and this is not a live signed clinical system. Licensed clinical verification is required before any care workflow use.
Requires microphone access to talk to Companion
Open full screenField notes
Deeper product and engineering context lives here, below the core homepage thesis.
Whisper-family models were built to transcribe whole utterances. Force them to stream and you trade away the future context they need to be accurate. At the bedside, where the last word often changes the first, that tradeoff is sharper than it looks.
The features that break autonomous delivery — slow, structured, low manipulation, high human-context — are the features that make care a tractable first deployment.
Task bots have a finish line — book the flight, set the timer. Open-ended companionship has no success signal and nothing to complete, which is exactly why it's so much harder to get right.