Aethera Labs designs and constructs camera-free, passive ambient intelligence setups. Our flagship framework, **Aetherics**, utilizes edge-level multi-sensor fusion arrays to continuously calibrate to physical baselines, track biometric cycles, and predict instability before a fall takes place.
Older solutions force families and clinics to make an compromises between active compliance constraints and privacy boundaries.
Conventional devices alert *after* impact has occurred. Prolonged recovery times and unrecognized lie-times cause compounding injury, muscle breakdown, and massive anxiety.
Smartwatches, necklaces, and pendants only protect if they are charged, worn, and active. Users living with cognitive conditions or dexterity issues frequently resist or forget physical straps.
Monitoring private, highly sensitive rooms (bedrooms, bathrooms, transition paths) with standard camera arrays produces immense psychological discomfort, surveillance anxiety, and continuous security risks.
Aethera Labs integrates commercial evaluation modules into custom edge routing processors. No camera feeds. Absolute tracking precision.
TI IWR6843ISK Evaluation Board
Maps dense spatial coordinates. Measures skeletal layout vectors, posture inclination, and sub-millimeter thoracic motions (isolated respiration and chest wall displacement signatures).
Melexis MLX90640 (32x24 Grid)
Interprets surface-level thermal emissions. Builds virtual perimeter margins, bedroom transitions, and delivers precise body surface temperature profiles without revealing identity details.
STMicroelectronics MP34DT05 (x2)
Dual-channel microphonic array tuned to acoustic impacts and structural resonance. Isolates and logs patterns like respiratory cough counts and localized vocal distress markers.
To prove our sensor-fusion model during Round 1 without complex enclosures, we build directly on open perfboard structures. We coordinate dual ESP32-S3 computational nodes to handle radar chirps, Far-IR arrays, and structural acoustics locally at the edge.
Interact directly with an Aethera Node. Set patient parameters, toggle modules to test fallback stability, and trigger predictive alerts to view generated telemetric payloads.
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Aethera Labs co-develops predictive models alongside world-class academic institutions, research hospitals, and independent living laboratories.
We are currently seeking additional clinical trial nodes, academic research teams, and telemetry system integrators. If your institution is interested in piloting Aetherics nodes, submit your details to connect with our scientific team.
Thank you for reaching out, ! Our medical integration and R&D team will review your scope with and follow up within 3-4 working days.
Join our small, highly focused team of embedded developers, clinical data engineers, and hardware architects solving major silver economy problems.
Optimize core C++ structures for local sensor fusion on the ESP32-S3 DevKitC. Coordinate DMA channels, fast FFT frequency filtering, and raw I2S pipelines.
Maintain and upgrade micro-algorithms parsing skeletal point clouds and thermal grid indices. Drive our `alert.fall.predictive` metrics toward higher confidence parameters.
Deploy high-performance REST and WebSocket streaming APIs in Python. Connect local MQTT buffers into secure Amazon Web Services pipelines.
The entire Aethera ecosystem is built on robust Python FastAPI layers. Connect and stream live ambient updates directly into custom apps, health dashboards, or institutional systems.
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Acquire your prototype node hardware once, and select your clinical telemetry dashboard service tier.
Complete access to the Aetherics family dashboard with zero lock-ins or contracts. Ideal for testing.
Commitment to long-term safety. Billed annually at £276, including priority technical onboarding.