Privacy-first ambient intelligence for the smart home.
EdgeLens AI helps smart-home and networking OEMs transform routers, cameras, and in-home sensors into on-device AI agents that understand presence, learn daily rhythms, and surface meaningful changes for families and caregivers, while raw video and sensor streams stay local by default.
EdgeLens Guardian
A private, on-device home-awareness layer for aging-in-place. Guardian learns a home’s normal rhythm in days, then surfaces calm, graded signals only when something changes, like routine drift, prolonged inactivity, or an unusually long private-space visit.
Awareness
Presence, home/away, daily-activity summary, and privacy zones.
Care
Behavioral baseline, meaningful-change & inactivity alerts, caregiver notifications.
Escalation
On-demand multimodal verification of fall-like events.
EdgeLens Guardian is a home-awareness and wellness product. It is not a medical device or emergency-response system.
Built for OEMs. Designed for families.
We sell to the OEMs who ship the hardware, and we design around the people living with it.
Smart-home & networking OEMs
Turn installed routers, gateways, and cameras into a premium, privacy-first home-awareness subscription. No cloud video, no new hardware, CPU-first by design.
- On-device SDK / API + reference app; drop-in for firmware teams
- Wi-Fi CSI + camera/radar fusion tuned for CPU-first silicon
- Recurring software revenue, not per-inference cloud cost
- Paid design-partner / NRE path to per-device licensing
Designed to help OEMs launch a premium software tier on hardware they already ship, without adding cloud-video infrastructure.
Request the architecture brief →Aging-in-place & family care
Families and caregivers get quiet peace of mind, knowing a parent is okay without cameras in private spaces, wearables to forget, or a stream of clips to watch.
- Presence, daily-rhythm baselines, and meaningful-change alerts
- Wi-Fi sensing covers private spaces cameras can’t
- Graded, calm signals instead of alarm fatigue
- A channel into care operators, ISPs, and AgeTech partners
Built for the future of AI inference at the edge.Designed for low-cost compute and efficient memory optimization.
The hard part isn’t a cloud demo. It’s private, reliable, low-cost inference on devices with tight CPU and memory budgets. EdgeLens is CPU-first by design, with on-demand multimodal verification, so the device’s primary job is never at risk.
Designed to port across router, camera, and hub silicon families via a thin integration layer.
Wi-Fi sensing first. Cameras only when it matters.
The cloud-dependent way
- Streams raw video off-device for analysis
- Per-use inference cost grows with adoption
- Latency, breach exposure, regulatory risk
- Can’t cover bathrooms or bedrooms
The EdgeLens way
- Processes locally; raw streams stay in the home
- No per-inference cloud bill (software margins)
- Real-time, works offline, private by design
- Wi-Fi sensing reaches private spaces, camera-free
The OEM design window is open.
On-device small models can finally run in real time on constrained hardware. IEEE 802.11bf-2025 standardized Wi-Fi sensing. Aging demographics and a caregiver crisis make private home awareness urgent, while rising cloud-AI costs squeeze OEM margins. The teams that embed on-device intelligence in this window will define the category.
Private by architecture, not by policy.
Questions buyers ask first.
What is EdgeLens AI?+
EdgeLens AI builds privacy-first, on-device ambient intelligence for the connected home. Our software turns routers, cameras, and in-home sensors into local AI that understands a home’s daily patterns and surfaces meaningful changes, without sending raw home data to the cloud. We sell to smart-home and networking OEMs.
Who is it for?+
The buyer is smart-home and networking OEMs: router, gateway, camera, and hub makers. The end beneficiaries are families and caregivers monitoring aging parents.
How is it different from cloud camera AI?+
Cloud camera AI streams video off-device, which adds cost, latency, and privacy risk, and it can’t cover private spaces. EdgeLens runs on-device, uses Wi-Fi sensing to cover those spaces, and keeps raw video and sensor streams local by default.
Does EdgeLens send video to the cloud?+
No. Raw video and sensor streams stay local by default. EdgeLens sends derived context, summaries, and authorized caregiver alerts, not raw private home data.
What hardware does it run on?+
It is designed for CPU-first baseline sensing on constrained home silicon (router, camera, hub families), with optional camera/radar verification where device resources allow.
Is EdgeLens AI a medical device?+
No. EdgeLens Guardian is a home-awareness and wellness product, not a medical device or emergency-response system.
Does EdgeLens require new hardware?+
No. It is designed to run on existing router, gateway, camera, and hub-class hardware where sufficient compute and sensor access are available.
“The next wave of home AI won’t live in the cloud. It will live in the room. We’re putting private, on-device intelligence into every connected home, so it quietly senses what matters, for the people you love.”
Built by a team that has shipped and scaled AI at Amazon, Google, and Apple, reaching millions of homes and cars.
Build private home intelligence into your next platform.
Engaging select smart-home, networking, and AgeTech OEMs for paid design-partner evaluations.