Transforming complex defense data into actionable intelligence
AI FACTORY
DoW Artificial Intelligence
We combine defense expertise with advanced AI and data science to transform complex data into actionable intelligence—enhancing readiness, autonomy, and decision speed across today’s evolving missions.
CONDUIT
Collection & Orchestration Network for Distributed Unified Inference & Training
CONDUIT is Technergetics' unified platform for bringing AI to the tactical edge. Built for TAK, edge, and embedded devices, it lets teams visually design processing pipelines as flow charts, connecting source connectors, criteria filters and forks, AI inference nodes, and output transformers into a complete workflow.
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Once a pipeline is validated, CONDUIT packages and deploys it as a native binary to the target platform, from ATAK and mobile, tablet, and laptop devices to other constrained-compute endpoints. The result is AI-enabled decision support at the point of need, built to scale as new data sources, pipeline designs, and endpoint types come online.
WINGMAN AI
Facilitating the “supply chain of algorithms” through an AI marketplace
WingmanAI is a storefront for AI algorithms that supports the full machine learning (ML) lifecycle — from requirements to deployment and performance.
Integrated with NVIDIA Triton Inference Server, it works with top frameworks like TensorFlow, PyTorch, and ONNX.
Built-in community tools make it easy to find, share, and improve AI algorithms in one platform.
FUEL AI
A seamless workflow for operational users to generate high-quality ML label datasets
Non-proprietary format for datasets on export
Maximum flexibility through configuration, labeling ontologies, object attributes, etc.
Ability to separate labeling responsibilities (Analyst vs. SME)
INFINITY AI
A microservice infrastructure enabling the full AI/ML lifecycle from use-case definition deployment in order to rapidly develop mission-ready AI capabilities.
An open architecture enables a plug-and-play service platform for Machine Learning, including data cultivation pipelines, algorithm repositories, and app integration APIs to efficiently mature operational human-machine teams.
The ecosystem allows users to design and deploy AI-enabled processing pipelines at runtime, maximizing AI's impact on a user's tasking.
