Our software is informed by deep experience on exquisite defense systems — space applications, advanced RF geolocation, and national-level intelligence architectures. We bring that expertise to attritable tactical sensors, building software that punches far above the hardware it runs on. The result: award-winning algorithms for edge inference, multi-INT fusion, and enterprise data readiness that adapt to new threats at the speed of relevance.
CORE DOMAINS
Exquisite Systems Heritage
Our algorithms are forged on the hardest problems in defense — satellite constellation mission management, national-level signal processing, and GEOINT rare object detection. This exquisite systems experience directly informs the software we deploy to the tactical edge.
Edge AI & Autonomous Sensing
Onboard inference engines for autonomous sensor cueing, target detection, and classification. Optimized for SWaP-constrained platforms with real-time performance where cloud connectivity cannot be guaranteed. Attritable hardware, empowered by exquisite software.
Enterprise Data Readiness
Beyond the sensor, our software powers the enterprise applications that make tactical data actionable — multi-INT fusion, dataset unification, and automated analysis pipelines that scale from edge nodes to national-level architectures.
MULTI-INT FUSION
Multi-INT Fusion
Our award-winning Multi-INT fusion algorithms — including COMbINE, the 2025 xTech AI Grand Challenge winner for multi-modal dataset unification — correlate acoustic, EO/IR, and RF data streams into a single common operating context. Every sensor on the network contributes to one unified picture, leaving nothing unnoticed. Purpose-built correlation engines resolve entity identity across modalities, surface non-obvious relationships, and reduce analyst cognitive load. From tactical edge nodes fusing multi-modal data in real time to enterprise platforms ingesting national-level feeds, our software adapts to the scale and classification level of the mission.
AWARD-WINNING SOFTWARE
xTech AI Grand Challenge
Grand Challenge winner for COMbINE — an LLM-powered tool for multi-modal dataset unification and readiness. Enables operators to rapidly harmonize disparate sensor datasets and train better detection and classification models.
GSA Applied AI Challenge
Challenge winner for applying Large Language Models to Software Defined Radio command and control. Demonstrated that LLMs can dramatically accelerate RF system configuration and mission planning workflows.
SOFTWARE PRODUCTS
A Geospatial intelligence application that enables commanders to protect their AORs with simulated sensor placement and phenomenology calculations, automated threat assessments and red teaming CUAS scenarios, and more. Evaluates multiple sensor modalities, attack vectors, terrain profiles, and red air platforms to identify coverage gaps and recommends optimal deployments for base defense configurations.
An ML-Ops readiness accelerator that combines and unifying disparate datasets resulting in larger, machine-learning ready training data with standardized and improved labeling. Leverages LLMs and neural networks to identify and align semantically similar labels when combining multiple common-mission datasets—even when they originate from different sources or use different terminology.
Build with us
Connect with our engineering and business development team.