Platform
Care Daily Ambient Operating System
The ambient operating system for the places people live.
A true operating system for physical space. It connects any data source, translates everything into one common language, and runs intelligent services in real time, on top of hyper personalized models regenerated for every person, in every home, every day.
It is an operating system, not a dashboard.
An operating system schedules work, arbitrates access to resources, and gives applications a stable contract against messy hardware. That is exactly what the Ambient Operating System does for physical space.
One language
Data arrives cloud to cloud, through gateways, directly via AWS IoT Core, and through proprietary channels. It is normalized into a common information language, so the application layer never sees the network layer.
Permissions in every app
Modeled on the app store. Each intelligent application declares the data types it can handle and subscribes only to those. That is what lets the system scale without every service touching everything.
Real time
Services run continuously against live signal, not overnight batch. Interpretation happens as data arrives, in the context of everything already known about that home.
Organization first, then location.
The world is modeled as organizations, nested as deeply as you need, with role based access control at every level.
What a location is
A location is a place you would send emergency services to. A home. A common area. It is the unit everything else hangs from.
- a set of data sources
- an optional set of people, each with role based access
- a set of ambient intelligent services
Why it matters at scale
Hierarchy plus role based access is what makes one deployment serve a channel, a national brand, and a single floor of one building at the same time, without the data or the permissions leaking between them.
All data inside a location is private to that location.
Hyper personalized, not a population model.
This is the part most platforms get wrong.
A model for every person, in every home, regenerated every day.
Not one large model generalizing across a population and hallucinating about an individual. Each assistant holds memory, learns in real time, and builds an understanding of one specific life in one specific place.
As new data arrives, the assistant interprets it in context, against everything else it already knows about that home. That is how signals become meaning.
Fusion produces conclusions no single source could reach.
Sleep, movement, kitchen activity, bathroom patterns, door events, wearables, clinical records. Individually each is a thin signal. Fused per person per day, they support trends, insights, reports and predictions that no one source could have established on its own.
One platform
Sense, understand, decide, act.Every layer is addressable on its own. Take the whole stack, or take the parts you are missing and keep what you have already built.Then it acts.
Understanding is only useful if it reaches the right person at the right moment.
More than one assistant, and they talk to each other.
Multi tenanted agentic services run over the whole stack.
Longevity
Wellness, drift detection, daily models.
Property protection
Water, smoke, heat, stove, access.
Energy
Comfort against consumption, continuously.
Security
Presence aware, learned per home.
Several assistants can run in the same home, each trained on its own set of services, negotiating with each other rather than competing. You can brand all of it as your own, and it speaks your language with cultural localization.
Give your platform an understanding of the physical world.
The entire service can be embedded in your platform, so your platform gains an understanding of the physical world. Your brand, your customers, your data governance, running on an operating system built for the places people live.
This is giving AI a body.
Build your own.
The assistants are extensible, and the tooling is open.
Open source, with tutorials
Development teams personalize services inside homes and communities using the same framework we build on.
Documented interfaces
APIs and SDKs for data in, services out, and platform to platform integration.
Built in, not bolted on
Privacy is an architecture decision, not a policy page.What gets measured is pattern rather than pictures, access is scoped by role at every level of the organization, and the compliance posture is designed for the regulators our customers actually answer to.Security, privacy and compliance.
HIPAA compliant AI
Built for regulated care environments.
GDPR
Compliance for European deployments, EU hosted.
Encrypted
In transit and at rest, with audited data handling.
Role based access
At organization and location level, throughout.
All data within a location is private to that location. White label deployments keep data governance aligned to your own policies.
Built to scale to millions.
Scientifically validated, and a National Institute on Aging portfolio company with $8M in non dilutive funding.
See it in your world.
Bring your own systems and we will show you what one day of fused, personalized models looks like across them.
See the platform against your setting.
Tell us where you operate and we will walk the ambient operating system against your environment rather than a generic demo.
- A demo against your setting
- No slide deck
- Straight answers on integration
Thank you, that is with us.
Care Daily reads what comes in and routes it to whoever is best placed to answer.