The Birken Company LLC
AI/ML for defense · simulation · systems integration
Capability Statement
Core competencies
- Supervised learning with XGBoost, AdaBoost, and Random Forest for classification, regression, and prioritization in defense applications
- Deep learning: TensorFlow, CNNs, NLP, time-series and sequence prediction
- Reinforcement learning: DQN pipelines, RL environment design, simulation orchestration to accelerate agent training
- Defense simulation: scene-generation control, VBS4 C++ plugins, Unreal Engine visualization, operator GUIs tied to training hardware
- Systems integration: C++ and Python on Linux/Windows, DDS, ZeroMQ, device drivers, fielded C2 interfaces (AFATDS)
- Software IPT-style technical leadership through delivery
Past performance
Past-performance summaries available on request, sanitized to fit the relevant NAICS, sources-sought scope, or teaming role.
Domain depth
- AI/ML production: trained models integrated into real-time C++/Python control systems; data hygiene, cross-validation, and regression testing discipline
- Simulation & training: VBS4 C++ plugins, Unreal Engine visualization, DIS/DDS interoperability, operator GUIs and training hardware
- Tactical C2 and fires: AFATDS interface integration, fire-support data exchange
- Tactical communications: SINCGARS, Rifleman Combat Radio, IDM, MIL-STD-1553B, OneSAF/DIS
- Embedded & messaging: Integrity RTOS, BSP, device drivers, DDS, ZeroMQ
- Systems engineering: DOORS requirements, CONOPS, UML, lab build-outs and safety systems