SkyGuard Labs, LLC
GEOMETRY INTELLIGENCE ACROSS THE FULL THREAT SPECTRUM
The aerial threat spectrum runs from a $300 FPV drone to a Mach 20 hypersonic reentry vehicle. Every threat on that spectrum — from the cheapest to the most lethal — shares one property: physical geometry that obeys the 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.
Glide Bombs (KAB-Class, JDAM-ER)
The most lethal standoff weapon in active use. Released beyond intercept range. Unpowered terminal phase — no heat signature to track, no RF to jam. EO/IR seekers make them resistant to every electronic countermeasure currently deployed. 230+ launched in a single quarter. 94 killed. 367 wounded.
Subsonic Cruise Missiles (Shahed-Class, X-101, Kalibr)
540+ launched in a single quarter. 162 killed. 721 wounded. Deliberately timed with drone swarms to simultaneously saturate every layer of the intercept stack. The volume problem that no current classifier can keep pace with.
Hypersonic Missiles — Terminal Phase
Mach 5–20. Seven football fields every 300 milliseconds. Decoys and real warheads are optically indistinguishable to every pixel-based classifier in existence. Terminal phase discrimination is the unsolved core of the Golden Dome problem. There is no current optical solution. Until now.
RF-Silent Loitering Munitions
5,800+ launched in a single quarter. 810 in a single night. ATG terminal approach — RF off, GPS off, altitude low. Designed specifically to defeat every passive RF and radar layer simultaneously. The primary driver of the $13.36B anti-drone market — and the threat that market still cannot solve.
Fiber Optic-Guided FPV / "Dark Drone"
No RF signal. No GPS uplink. No control link to jam, detect, or spoof. Physically tethered to its operator by fiber — completely invisible to every passive RF sensor and direction-finding system ever deployed. The "dark drone" threat class: zero electromagnetic signature, zero detectable emissions, zero countermeasure surface. Causing more civilian casualties in the Ukrainian theater than any other single weapon class.
Adversarially Modified Platforms & Optical Decoys
A $3 printed adversarial pattern defeats every published EO/IR drone classifier — 100% success rate, proven at NDSS 2026 (UC Irvine). Visual decoys cause real interceptors to be fired at nothing. Adversarial patches cause real threats to be ignored. Zero published defense exists against this class. OTIS is the exception.
GPS-Spoofed / GPS-Denied Operations
122,000+ flights affected in just 4 months of 2025. GPS jamming up 220% since 2024. Every GPS-referenced sensor fusion stack, intercept cueing system, and engagement geometry calculation degraded simultaneously. A force multiplier for every other threat class on this list.
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.
That is the only foundation OTIS operates on.Most detection systems try to learn what a threat looks like. Adversaries spend $3 and defeat them.
OTIS operates differently. It knows what a threat must physically be — based on immutable laws of physics. Adversarial patches change pixels. They do not change the physical properties of the object. GeoVerify™ tests those properties. That distinction is not incremental. It is categorical.
At the heart of OTIS is the PhysicsPrint™ Threat Catalog — a structured library of physical parameter envelopes built by SkyGuard Labs directly from the laws of physics. Not learned from images. Not trained on historical data. Derived from the immutable physical properties that every threat class must obey — properties that no adversarial modification, novel airframe, or electronic countermeasure can alter.
These envelopes define what each threat class can and cannot physically be. They do not change when a glide bomb's EO/IR seeker is upgraded. They do not degrade when a new cruise missile variant enters the field. They are not confused by a hypersonic decoy, defeated by an RF-silent loitering munition, invisible to a fiber optic-guided dark drone, fooled by an adversarial patch, or degraded by GPS jamming — because none of those methods change the underlying physics of the object.
OTIS ships with the PhysicsPrint™ Threat Catalog baked in from day one. Every confirmed observation accumulates against it — sharpening certainty around the physics it already knows. Not by learning new rules. Not by retraining. OTIS operates with full autonomy at runtime, with no network dependency on the engagement path. AdaptCal™ refinement is asynchronous and integration-configurable — from fully air-gapped local accumulation to classified network sync, depending on program requirements. Every deployment starts from the same physics-derived foundation. 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 trained on image datasets that adversaries have already learned to defeat. OTIS tests real-world measurements against physics-constrained threat models. A novel airframe cannot defeat it. Adversarial camouflage cannot defeat it. An RF-silent drone operating in GPS-denied airspace cannot defeat it. To defeat OTIS, an adversary must violate the laws of physics. That is not a gap they can close.
Self-Refining — AdaptCal™
OTIS operates with full autonomy at runtime — no network dependency on the engagement path. Every confirmed observation accumulates locally against the PhysicsPrint™ Threat Catalog, sharpening certainty over time without retraining or update cycles. AdaptCal™ refinement is asynchronous and integration-configurable: from fully air-gapped local accumulation to classified network sync, depending on program requirements. OTIS in its 100th deployment is measurably more precise than OTIS in its first. The adversary's threat pool grows. So does OTIS's certainty.
Fully Explainable — ClearCue™
Every OTIS engagement decision is backed by ClearCue™ — fully auditable output that maps directly to a physical measurement and a physics-derived bound, not a neural network activation that no one can audit. When OTIS flags a threat, ClearCue™ shows exactly which physical property triggered the classification, which bound was violated, and what that means for rules of engagement. This is not a feature. In autonomous engagement architectures, it is a legal and operational requirement. OTIS satisfies it categorically.
Operational Characteristics
Application Areas
Layered C-UAS Architectures
The GeoIntel™ verification layer that completes the sensor stack — covering every threat RF and radar cannot classify.
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.
Autonomous Convoy & Platform Protection
GeoVerify™ threat verification for unmanned ground and air platforms operating in contested, GPS-denied environments.
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.
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.
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)
All technical briefings are conducted under executed NDA. Patent Pending. All rights reserved.