Geometry Intelligence for
Optical Airspace Sensing

SkyGuard Labs engineers physics-grounded decision layers for next-generation optical sensing platforms.

Current State

The aerial threat spectrum runs from a low-cost FPV drone to a Mach 20 hypersonic reentry vehicle. Every threat on that spectrum — from the cheapest to the most lethal — shares universal properties: physical geometry attributes that obey the precise laws of physics.

Every defense system currently deployed makes life-and-death decisions based on pixel patterns, RF signals, or GPS coordinates. Those are inputs the adversary controls. They are being exploited — systematically, at scale, right now.

SkyGuard Labs built O.T.I.S.: the GeoIntel™ layer that operates on the one input the adversary cannot control. Physics.

PATENT PENDING  ·  SOFTWARE-FIRST  ·  FULL THREAT SPECTRUM

O.T.I.S.

Optical Threat Isolation System

THE THREATS THAT ARE DEFEATING EVERY SENSOR STACK IN THEATER.
RIGHT NOW.

01

Glide Bombs (KAB-Class, JDAM-ER)

Released beyond intercept range with an unpowered terminal phase — no heat signature, no RF to jam. Resistant to every electronic countermeasure fielded today.

DETECTED. CLASSIFIED. CUED.
02

Subsonic Cruise Missiles (Shahed-Class, X-101, Kalibr)

Launched in high volume, often timed with drone swarms to saturate every layer of the intercept stack simultaneously.

DETECTED. CLASSIFIED. CUED.
03

Hypersonic Missiles — Terminal Phase

Mach 5–20 terminal phase. Decoys and real warheads look identical to every pixel-based classifier — the unsolved core of the Golden Dome problem.

DETECTED. CLASSIFIED. CUED.
04

RF-Silent Loitering Munitions

RF off, GPS off, altitude low — built to defeat every passive RF and radar layer at once. The core threat the anti-drone market still cannot solve.

DETECTED. CLASSIFIED. CUED.
05

Fiber Optic-Guided FPV  /  "Dark Drone"

No RF, no GPS uplink, no control link to detect or jam — tethered by fiber, invisible to every passive RF sensor ever deployed.

DETECTED. CLASSIFIED. CUED.
06

Adversarially Modified Platforms & Optical Decoys

Low-cost printed patterns defeat published EO/IR classifiers outright — causing real threats to be ignored and interceptors fired at nothing.

DETECTED. CLASSIFIED. CUED.
07

GPS-Spoofed / GPS-Denied Operations

GPS jamming is rising sharply and degrades every GPS-referenced fusion stack and cueing system at once — a force multiplier for every other threat on this list.

DETECTED. CLASSIFIED. CUED.

Every threat on this list defeats every currently deployed optical sensor system in live battle.

Not one of them defeats the long-established laws of physics.

This is OTIS's operational foundation.
GRAVITY IS UNIVERSAL.

The physics behind O.T.I.S. — geometry, decoded

The Solution

Current EO/IR systems rely on AI, ML, and computer-vision image libraries to recognize what a threat looks like — an approach adversaries can defeat for the cost of a printed pattern.

OTIS applies ground-truth physics and geometry instead. Accuracy comes from Newton's fundamental laws, not learned pixels — freeing up the compute those AI/ML pipelines demand, and letting OTIS run autonomously beyond the edge in contested, DDIL environments.

The OTIS Difference

OTIS operates differently. It verifies what a threat must physically be, using the PhysicsPrint™ Threat Catalog — physical parameter envelopes derived directly from the laws of physics, not learned from images or historical data. Adversarial patches, novel airframes, and electronic countermeasures change pixels. They cannot change physics.

Every confirmed observation sharpens that foundation over time via AdaptCal™ — asynchronous, integration-configurable, and never dependent on a live network connection during engagement. Every deployment starts strong, from day one.

EO/IR  ·  SENSOR-AGNOSTIC  ·  DDIL-READY  ·  GEOMETRY-FIRST

Physics-Grounded — GeoVerify™

GeoVerify™ classification logic is derived from immutable physical laws, not image datasets adversaries have already learned to defeat. Novel airframes, camouflage, and RF-silent drones in GPS-denied airspace all still obey physics — so none of them can defeat it.

Self-Refining — AdaptCal™

OTIS runs fully autonomously at runtime, with no network dependency on the engagement path. Every confirmed observation sharpens certainty against the PhysicsPrint™ Threat Catalog over time — no retraining required. OTIS's 100th deployment is measurably more precise than its first.

Fully Explainable — ClearCue™

Every OTIS decision is backed by ClearCue™ — auditable output mapped to a physical measurement and a physics-derived bound, not an opaque neural network activation. It shows exactly which property triggered the call, a legal and operational requirement for autonomous engagement architectures.

Operational Characteristics

Network Dependency
None on the engagement path — air-gap ready, DDIL-native.
RF Dependency
None — zero-emission passive optical monitoring, no signature to anti-radiation targeting.
Explainability
Full — every decision auditable against a physics-derived bound, meeting DoD XAI standards.
Novel Airframes
Physics-based classification generalizes to unseen airframes automatically.
DDIL Suitability
Zero external data dependencies at runtime — identical performance in clean or contested environments.
Continuous Improvement
Configurable from air-gapped local accumulation to classified network sync — no retraining required.
Refinement Models
Air-gapped  ·  Sneakernet  ·  Sync-on-connect  ·  NIPR/SIPR/JWICS  ·  Commercial API
Human-in-the-Loop
Configurable confidence threshold per rules of engagement.
Sensor Input
Any optical input, monocular through full LiDAR — hardware-agnostic by design.

Application Areas

Domain 01

Layered C-UAS Architectures

The GeoIntel™ verification layer that completes the sensor stack — covering every threat RF and radar cannot classify.

Domain 02

Air & Missile Defense / Golden Dome

GeoVerify™ terminal phase discrimination between real warheads and decoys. The problem that existing interceptor stacks cannot solve. The problem OTIS was built to solve.

Domain 03

Autonomous Convoy & Platform Protection

GeoVerify™ threat verification for unmanned ground and air platforms operating in contested, GPS-denied environments.

Domain 04

Fixed-Site & Critical Infrastructure Defense

SilentWatch™ continuous passive optical monitoring. Zero RF emission. Presents no signature to anti-radiation targeting systems. Operates where radar cannot survive.

Domain 05

EO/IR Sensor Mesh Ground Truth

The GeoIntel™ verification layer for proliferated sensor architectures — ensuring every node in the mesh is making decisions based on physics, not pixels.

Domain 06

Autonomous Vehicle Safety

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.

INTEGRATION INQUIRIES

OTIS is available for integration via SDK and API under executed NDA. We work directly with defense primes, C-UAS integrators, autonomous systems developers, and government program offices. If you are building a sensor stack and need ground truth that the adversary cannot manipulate — this is the conversation to have.

SKYGUARD LABS, LLC

Location Details

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.