360° passive cue
A microphone ring listens in every direction at once — fully passive, no emissions, day or night, fog or glare. It detects and bears candidates the moment they make noise.
Sentio is an edge-AI sensing platform: a small, passive node that listens in 360°, looks where the sound is, confirms what it found, and hands a track to the systems you already run — on-device, no cloud in the loop.
A new class of small drone carries its control link over a fiber-optic thread instead of radio. It emits nothing — so the RF detectors and jammers most defenses rely on never see it. It is small, low, and fast enough to slip past cameras cued by nothing.
But propulsion is loud. A drone cannot mute its rotors. Passive acoustics catch the signature that signature-management hides everywhere else — and a camera, pointed by the sound, confirms it. That pairing is Sentio's first product: passive detection of RF-silent drones for the people protecting real sites.
One node, one loop, no operator babysitting. Each stage covers the failure mode of the one before it — sound cues in all directions at once, vision rejects what sound alone can't, and the result is an action, not a dashboard ping.
A microphone ring listens in every direction at once — fully passive, no emissions, day or night, fog or glare. It detects and bears candidates the moment they make noise.
A camera interrogates the cued bearing and confirms drone vs. not-drone — rejecting the mowers, generators, and gusts that fool any single sensor on its own.
Confirmed tracks publish in standard formats (TAK-compatible) to the C2, effector, or alerting stack you already operate. Sentio cues and confirms — it is a detection layer, not a weapon.
The same node — ears, eyes, and an on-device brain — retrains for any environment where machines need senses and the cloud is too far away.
Counter-UAS detection for forces, bases, airports, stadiums, data centers, and the grid — the passive layer that catches what RF and imagery miss.
The watchful node for fields and herds: pests, intrusions, equipment health — sensed at the fence line, acted on locally.
Motors that report their own failing bearings. Lines that hear a jam before it cascades. Intelligence embedded in the machines themselves.
PRINTED IN-LAB · LIVE 3D OF THE ACTUAL ENCLOSURE · INTERNALS REPRESENTATIVE
Sipsa Labs publishes what it can prove — a habit we built in our compression-research era and kept. Here is Sentio's real, current state:
Integrators, site operators, and program offices: if RF-silent drones — or machines that need senses — are your problem, we want the conversation now, while the design is still being shaped by real constraints.
founder@sipsalabs.com