Heven AeroTech Tech Stack
Hydrogen-powered autonomous systems for defense and commercial missions
Heven AeroTech designs and manufactures hydrogen-powered heavy-lift drones and autonomous systems for defense, commercial, and public safety applications. The tech stack reveals a company building AI-enabled platforms at scale: GCP + BigQuery + Vertex AI for cloud infrastructure, PyTorch + TensorFlow for model training, NVIDIA Jetson for edge inference, and ROS for autonomous control—paired with CAD tools (SolidWorks, CATIA, NX) and simulation (MATLAB, Ansys) for hardware development. The hiring acceleration (29 roles in 30 days, engineering-heavy) and active projects around secure cloud backbones and air-gapped CI/CD pipelines indicate concurrent pushes to scale manufacturing and harden the software stack against ITAR/EAR compliance constraints.
Tech Stack 29 technologies
What Heven AeroTech Is Building
◆Challenges
- Compliance with itar and ear
- Scaling stack production
- Composite airframe manufacturability
- Material traceability
- Improving throughput
- Asset lifecycle management
- Secure it infrastructure
- Scalable secure cloud backbone
- Transitioning legacy documentation
- Establishing scalable tech pubs ecosystem
▲Active Projects
- Airframe structure design and tooling
- Building coalition with trade associations
- Quantum roadmap development
- Sbir/sttr capture efforts
- Scalable secure cloud backbone for ai-enabled drone platforms
- Ai/ml pipelines for drone platforms
- Ci/cd pipelines for air-gapped environments
- Madcap flare implementation
- Z1 platform documentation
- Future unmanned product documentation
Hiring Activity
Department
Seniority
Notable leadership hires: Director of Operations
