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Capabilities

Innovative Capabilities Built to Support and Strengthen Modern Mission Operations

Alfred

Alfred is an AI geolocation suite that turns raw sensor data into rapid, reliable intelligence. It scales to heavy reporting, adapts to missions, and gives analysts clearer situational awareness with consistent, data-grade precision

Rapid AI-driven threat and pattern detection
Flexible for different theaters and missions
Cloud and tactical edge deployments

RedLens

RedLens fuses multi-domain reports with order-of-battle templates to quickly assess enemy units and COAs. It gives analysts clearer insight into OPFOR posture and movement, supporting more confident decisions and planning.

Correlates equipment observations into unit-level assessments
Sharpens COA development with clearer OB and maneuver projections
Modular microservices that integrate easily with existing C2/Intel systems

DAEDALUS

DAEDALUS infers full interior layouts in GPS-denied, cluttered spaces using ML, architectural reasoning, and partial sensor data. It provides richer indoor intelligence than SLAM for safer maneuver and faster decisions.

Works where traditional SLAM cannot (hidden rooms, incomplete data)
Enhances CWMD, urban recon, and close-quarters missions
Improves planning, safety, and decision speed in constrained environments

CITADEL

CITADEL is a secure DevSecOps pipeline with CI/CD, automated testing, and continuous security checks. Built for cloud or air-gapped Kubernetes up to IL5, it cuts technical risk, speeds ATOs, and improves software quality.

Full DSOP stack: CI/CD, code analysis, DAST, automated tests
Supports cloud and air-gapped Kubernetes environments
SaaS delivery with predictable cost and reduced technical/security risks

GOTS Products 

Phoenix develops GOTS capabilities for defense programs, from secure infrastructure to modular data services and advanced CBRNE/intel fusion. These tools enhance intelligence accuracy, mission command, and situational understanding

Accreditation-ready Kubernetes platform for tactical and disconnected ops
MOSA-aligned equipment data services for friendly and adversary systems
CBRNE/intel fusion tools for better warning, reporting, and decision support

Alfred

Alfred is a battlefield intelligence analytics suite that processes high-volume geolocation reporting to support military intelligence operations

By applying AI/ML and modern scalable data technologies to raw geolocational data, Alfred delivers results with data-scientist-grade precision and consistency. It can be tuned for specific theaters, time windows, or mission parameters to match emerging operational needs. The result is faster discovery of threat patterns, broader situational awareness across battlespace, and more reliable analytic products. Integrated with multiple Programs of Record and available as a commercial solution, Alfred demystifies SIGINT-driven workflows for all-source analysts at the classification levels where warfighters operate.

RedLens

RedLens is a multi-domain intelligence analytics suite correlating geographic order-of-battle templates with observed equipment and ground reporting to validate Centers of Mass and Courses of Action (COAs) for operational planners.

It supports Army S2 analysts and S3 planners by aggregating individual equipment observations into unit-level assessments across echelons, producing clearer order-of-battle visualizations and evaluating how OPFOR formations are likely to array, maneuver, and attack. These analytics enable staff to refine assumptions, compare COA alternatives, and build more defensible planning products. Delivered as modular microservices, RedLens integrates seamlessly with existing C2 and intelligence systems to enhance COPs and CIPs, while its MOSA-aligned architecture offers a low-risk, plug-and-play integration path.

DAEDALUS

DAEDALUS is a cognitive mapping system designed for GPS-denied, cluttered, and structurally complex indoor environments where traditional spatial mapping and awareness tools fall short.

Standard Simultaneous Localization and Mapping (SLAM) techniques generate geometric maps but cannot infer hidden rooms, architectural intent, or unseen structural connections, which creates critical gaps during CWMD, urban reconnaissance, and close-quarters operations. DAEDALUS addresses this by combining machine learning, architectural reasoning, and partial sensor observations to infer complete interior layouts even when data is noisy or incomplete. The result is richer spatial intelligence, improved mission planning, safer maneuver, and faster

CITADEL

CITADEL is Phoenix’s corporate DevSecOps pipeline, engineered to standardize and secure software delivery for government programs.

It provides a repeatable DSOP framework powered by GitLab that includes CI/CD, static code analysis, automated builds, unit testing and coverage, artifact storage, Dynamic Application Security Testing (DAST), and automated system and functional testing. Designed for secure cloud environments up to Impact Level 5 (IL5), CITADEL supports both connected and air-gapped Kubernetes platforms. Delivered as a SaaS offering with a predictable monthly subscription, CITADEL helps programs rapidly adopt a proven DevSecOps capability, reducing technical and security risk, accelerating ATO timelines, and improving mission software quality.

GOTS Products 

As the lead developer for multiple government programs, Phoenix builds Government Off-The-Shelf (GOTS) capabilities with broad applicability across defense programs. Contact us for introductions to stakeholders regarding usage and potential technical transfer of:

Secure Container Infrastructure:

Accredited Kubernetes platform enabling OCI-compliant, multi-vendor applications across tactical and disconnected environments, supporting GFE bare-metal, cloud, and virtual deployments.

Military Equipment Library Service:

MOSA-compliant, low-code/no-code framework for friendly and adversary equipment data services, improving intelligence accuracy and mission command.

CBRNE/Intelligence Fusion Analytics:

Combines multi-int data and hazard prediction to enhance warning, reporting, situational understanding, and operational decision-making in complex CBRNE threat environments.