1. Sensor inputs
RGB/IR, thermal, and optional radar or UWB sensing support perception in degraded environments.
Technology
SAGE-X architecture
The technology stack combines wearable sensing, local compute, contextual memory, and SOP-aligned reasoning to produce real-time advisory outputs directly on-device.
System summary
Edge-ready reasoning from multi-sensor inputs.
SAGE-X is described as a wearable AI system that integrates RGB/IR, thermal, and optional radar or UWB sensing with an embedded compute module configured to execute perception and reasoning locally. The architecture is intentionally offline-first, with optional remote services limited to updates, telemetry synchronization, and diagnostics when connectivity is available.
The system may deliver outputs through visual, auditory, or haptic interfaces, depending on the operational context and wearable configuration.
Company & IP snapshot
SAGE-X: On-Device AI Advisory System for Degraded High Risk Environments
- Program
- Maryland Innovation Initiative
- Qualifying university
- University of Maryland, Baltimore County (UMBC)
- Requested funding
- $300,000
- Project duration
- 9 months
- IP status
- U.S. Patent Application No. 19/641,061; PCT Application No. PCT/US2026/022652; submitted April 7, 2026; term sheet in discussion with UMBC TTO.
End-to-end flow
The core processing pipeline.
SAGE-X moves from raw sensing to fused observations, contextual interpretation, and concise advisory guidance for the operator.
2. Fusion & preprocessing
Signals are harmonized before reasoning to produce a more coherent operational picture.
3. Cognitive layer
Short-term memory, episodic context, and SOP archives inform how the system interprets the current scene.
4. Advisory output
Concise guidance is delivered to the operator through mission-appropriate interface modes.
Cognitive layer
Modular by design.
The architecture selectively combines SOP archives, an episodic buffer, and short-term memory with a sensor-informed gating controller and on-device AI execution.
Why it matters
Contextual reasoning instead of raw data overload.
The system’s differentiator is not simply the sensor stack. It is the ability to connect sensed observations to procedure, memory, and confidence logic on the device itself. That enables guidance that is more usable under time pressure and in constrained operational conditions.
- Offline-first operation: Core perception and reasoning run locally on the wearable device so functionality remains available when connectivity is unavailable or unreliable.
- Multi-sensor fusion: Supports RGB/IR imaging, thermal sensing, and optional radar or UWB inputs to improve situational understanding in degraded environments.
- Cognitive layer + SOP archive: Combines sensor observations with short-term memory, episodic context, and operational procedures to produce concise guidance instead of raw feeds.
- Deployment flexibility: Designed for insertion into DoD systems, reference wearable platforms, and commercial OEM integrations through a modular, sensor-agnostic architecture.
Deployment approaches
Flexible productization paths for SAGE-X.
Integrated wearable prototype
A full reference platform that demonstrates sensing, reasoning, and advisory output in an on-body system.
System insertion
Software and cognitive-layer integration into external mission systems, head-worn platforms, or partner sensor stacks.
OEM collaboration
A commercialization path aligned to the architecture’s explicit fit for commercial OEM integration and partner-led deployment.
Operational advantages
Benefits designed around mission realities.
- On-device AI reasoning without dependence on cloud infrastructure
- Reduced cognitive load through advisory outputs rather than raw data feeds
- Modular sensor integration enabling extensible sensing capabilities
- Operation in disconnected or contested environments
- Integration of sensor inputs with operational procedures
Extensibility is a core design principle: additional physiological or environmental sensors can be integrated without redesigning the cognitive layer, enabling domain-specific product configurations over time.
FAQ
Technology questions
Use this page to support partner, customer, and investor diligence around the architecture.
What is SAGE-X?
SAGE-X is an extensible, on-device advisory AI architecture that fuses multi-sensor inputs with memory and operational procedures to support real-time decision making.
Does SAGE-X require cloud connectivity?
No. The system is designed to operate offline, with optional remote services available for updates, telemetry synchronization, diagnostics, or model refresh when connectivity exists.
What sensing modalities can be integrated?
The current concept references RGB/IR imaging, thermal sensing, and optional radar or UWB modules, with extensibility for additional physiological or environmental sensors.
Who is KestrelAI building this for?
The core application areas described for SAGE-X are military operations, emergency response, industrial safety, and disaster response scenarios.
How can partners engage?
KestrelAI is positioned for pilot programs, system-integration discussions, OEM partnerships, and investor conversations related to the commercialization of SAGE-X.
Technical engagement
Book a technology review with the KestrelAI team.
Use the contact page to request a technical briefing, pilot discussion, or partnership conversation.