Creek Labs blends IoT hardware, low-level networking, and modern AI into a product family that feels soft and simple on the outside. Underneath, it’s built by someone who has spent two decades working in Networking & IoT.
Creek Labs is led by Desirèe, whose career started in domains and hosting, then moved into networking, infrastructure, and IoT device fleets for startups and customers around the world.
The same skills that kept domains online and devices talking are now applied to a different problem: how to make homes and bodies feel calmer in a noisy world.
“Creek Labs is where decades of low-level networking meet the reality of being a mom who needs tech to actually help, not just impress.”
Creek Veil combines environmental sensing, human pattern monitoring, and a miniaturized ionization module in a wearable form factor. This specific combination — around the breathing zone, connected via cellular IoT, with AI that learns triggers — is what makes Veil different.
Designed as a low-power IoT wearable with sensor fusion:
| MCU | Low-power ARM Cortex-M4/M33 class microcontroller with FPU, ~256–512 KB RAM, integrated power management. |
|---|---|
| Connectivity | Cellular IoT modem (LTE-M / NB-IoT) with SIM/eSIM, optional GNSS; BLE for local setup & debug. |
| Environmental sensors | PM2.5/PM10, VOC/eTVOC, temperature, humidity, optional CO₂-equivalent or IAQ index. |
| Human signals | 3-axis IMU (motion, posture), breathing-related motion via accelerometry, basic activity classification. |
| Ionization module | Miniature ionizer optimized for a small “bubble” near the breathing zone, power-gated and duty-cycled. |
| Power | Rechargeable Li-ion / Li-Po, USB-C charging, target multi-day use with aggressive sleep modes. |
Creek Veil’s stack is built to turn raw sensor streams into practical, per-person insight:
All of this is exposed to the Creek app and Creek Home in a way that stays human-readable (“you tend to feel worse after X + Y happen together”) rather than charts-only.
Creek Home is not just a smart speaker. It is a purpose-built IoT appliance with local processing, far-field audio, and a cloud AI model dedicated to schedules, lists, and day-to-day organization.
| Core SoC | ARM-based multi-core application processor, secure boot, hardware crypto, and dedicated NPU or DSP for audio. |
|---|---|
| Connectivity | Wi-Fi 5/6 for home network, Bluetooth 5.x for pairing, optional Ethernet via dock or adapter. |
| Audio | Far-field microphone array for wake-word and commands, full-range speaker tuned for voice + music, beamforming and echo cancellation. |
| Local storage | Flash for configuration, cached routines, and offline queueing when internet is unstable. |
| Form factor | Triangular “Creek Home” enclosure in matte gold or chrome, with minimal physical controls and status LED ring or line. |
Creek Home’s “intelligence” is built specifically for families juggling many moving parts:
The result: an IoT hub that feels less like a general-purpose assistant and more like a dedicated household operating system.
Creek Cam combines outdoor IoT hardware with LTE connectivity and a curated overlay: a mentorship-style subscription for people who want regular access to creek, wildlife, and nature feeds for calm enjoyment.
| Imaging | 1080p or higher camera sensor, wide dynamic range, IR illumination for low-light creek and wildlife scenes. |
|---|---|
| Connectivity | LTE/LTE-M module with SIM/eSIM, optional Wi-Fi fallback; encrypted uplink to Creek backend. |
| Enclosure | Outdoor-rated housing (target IP65+), mountable near creeks, trees, or backyard spaces; optional solar panel for self-power. |
| On-device logic | Basic motion/event detection at the edge to reduce bandwidth; time-windowed capture for “best of” clips. |
Beyond a single camera feed, Creek Cam is designed to sit inside a small network of curated, calm streams:
Creek Labs is built by someone who lives in logs, AT traces, and low-level debugging. All Creek devices are designed to expose a clear, documented control and diagnostic interface for advanced users and integrators.
For development units, Veil, Home, and Cam expose a USB/UART console that can be used to monitor logs, run basic commands, and verify connectivity during bring-up.
Creek Veil and Creek Cam use cellular modules with standard 3GPP AT command sets.
A debug mode allows controlled passthrough for commands like AT+CSQ,
AT+CGATT?, and PDP context checks.
A single AT / control reference will document how Creek devices expose status, logs,
and test functions.
View Creek device AT command reference (placeholder).
The real power of Creek Labs isn’t one device, but the way they share signals: Veil’s human + air data, Home’s household context, and Cam’s outdoor view.
Dedicated designs for wearables, home hubs, and outdoor cams using known-good IoT parts: MCUs, modems, sensors, audio, and power systems that can be debugged and supported.
Cellular, Wi-Fi, and secure tunneling designed from a networking-first mindset — including proper APN setup, TLS, and observability for real-world conditions.
Creek AI models reconcile device data with how people actually feel and live, turning metrics into timing, suggestions, and routines that respect sensitive bodies and busy families.
Whether you’re here as a parent, a highly sensitive person, or a fellow engineer, you can join the early Creek Labs community and help shape the first Creek Veil, Creek Home, and Creek Cam releases — including the developer toolchain and AT docs.