Fiber-Optic Guided Munitions
No RF control links, no GPS dependence, and no usable electronic signature.
The physics authority and airspace decision system for RF-silent, GPS-denied, signal-denied, and adversarial conditions.
Optical Threat Isolation System — O.T.I.S.
By SkyGuard Labs
OTIS is a sensor-agnostic, physics- and geometry-based target-validity layer for integrated AMD, C-UAS, ISR, and autonomous systems. It evaluates candidate observations and tracks against the available multi-modal sensor evidence, rejecting inconsistent or non-physical candidates before they enter downstream identification, command-and-control, or engagement workflows.
Modern sensing systems detect, classify, track, and fuse what their sensors observe. Their outputs are trained on enormous image datasets, weighted by confidence, and relied upon to shape the operational picture.
Decision pollution begins when false, manipulated, degraded, or physically unproven observations enter the operational picture and consume compute, communications bandwidth, operator attention, time, and interceptor inventory.
OTIS is not another classifier, confidence score, or fusion weight. OTIS is the physics authority that sets the operational standard for optical evidence.
Fiber-optic guided munitions, glide threats, RF-silent autonomous drones, GPS-spoofed craft, and adversarial optical threats each remove, degrade, corrupt, or weaponize a conventional confirmation pathway.
No RF control links, no GPS dependence, and no usable electronic signature.
Critical terminal phases can present without a propulsion signature.
Autonomous platforms can navigate and execute without active telemetry.
Manipulated or degraded position and intent cannot be treated as ground truth.
Camouflage, patches, and optical manipulation change pixels, not the physical constraints matter must obey.
FlyTrap is one proof point; decision pollution is the full problem class.
An image can be altered. A pixel pattern can be designed to deceive. Training data can be incomplete. A weighted model can be highly confident and still be wrong.
OTIS is the physics authority that determines whether image-derived evidence can become operational consequence.
None on the engagement path — air-gap ready, DDIL-native. AdaptCal™ refinement is asynchronous and occurs outside the engagement envelope.
None — SilentWatch™ passive optical monitoring presents no signature to anti-radiation targeting systems. Zero-emission. Operates where radar cannot survive.
Full — ClearCue™ output is auditable against a physics-derived bound. Meets DoD XAI requirements for autonomous engagement architectures.
GeoVerify™ is physics-based — novel airframes obey the same laws as known ones. OTIS does not need to have seen it before.
Zero external data dependencies at runtime. GeoIntel™ operates identically in clean and fully contested environments.
AdaptCal™ is integration-configurable — from fully air-gapped local accumulation to classified network sync. No retraining. No real-time network dependency. Every unit starts from the same PhysicsPrint™ foundation, strong from day one.
Air-gapped local · Sneakernet / physical media · Sync-on-connect · NIPR / SIPR / JWICS · Commercial API — configured per integration requirement.
Configurable ClearCue™ confidence threshold per rules of engagement.
Any optical input — monocular camera through full LiDAR suite. Hardware-agnostic by design.
OTIS is a software-first, sensor-agnostic airspace decision system. For technical integration, OTIS operates as the geometry intelligence layer between passive optical observation and downstream mission workflows.
The GeoIntel™ verification layer that completes the sensor stack — covering every threat RF and radar cannot classify.
GeoVerify™ terminal phase discrimination between real warheads and decoys. The problem that existing interceptor stacks cannot solve. The problem OTIS was built to solve.
GeoVerify™ threat verification for unmanned ground and air platforms operating in contested, GPS-denied environments.
SilentWatch™ continuous passive optical monitoring. Zero RF emission. Presents no signature to anti-radiation targeting systems. Operates where radar cannot survive.
The GeoIntel™ verification layer for proliferated sensor architectures — ensuring every node in the mesh is making decisions based on physics, not pixels.
The same pixel-based failure that causes camera-equipped vehicles to miss threats exists in every AV perception stack. GeoVerify™ applies physics-grounded verification to ground-domain autonomy.
SkyGuard Labs works with defense primes, sensing-platform integrators, autonomy developers, and government program offices operating in RF-silent, GPS-denied, degraded, and adversarial conditions. If you are in the space this is the conversation to have.
Denver, Colorado, USA
Email: integration@skyguarddefense.com
Comms: Intel-Support Line (24/7) · (720) 667-8447
All technical briefings are conducted under executed NDA. Patent Pending. All rights reserved.