ZeroV™

AI Solutions for Space

Low-Power • High Performance • Radiation-Hardened

Powered by enVention's Expertise in Fielded, Mission-Critical Technologies

Enabling NexGen Space AI

AI-driven applications in space demand extreme efficiency, radiation resistance, and adaptability. ZeroV solutions deliver custom FPGA-based hardware, software tools, and development expertise tailored for the unique challenges of autonomous perception and real-time decision-making in space.

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Why ZeroV?

Space-based AI faces harsh realities: limited power budgets (often <10-50W), intense radiation environments that corrupt data and damage hardware, and the need for flexible, remotely upgradable systems. Traditional solutions fall short. ZeroV tackles these issues head-on with:

  • Low-Power Optimization

    FPGA-based GPU designs with onboard tensor acceleration engineered to minimize energy consumption while delivering high-performance AI/ML inference.

  • Radiation Hardening & Resilience

    Proven, fault-tolerant techniques for radiation mitigation, including triple modular redundancy (TMR), data error correction, and continuous hardware health monitoring tailored for LEO, GEO, and deep-space missions.

  • Flexibility & Future-Proofing

    Modular IP cores and reconfigurable architectures that support in-orbit updates and evolving mission requirements.

  • Core IP Lifecycle Support

    ZeroV services include design, verification, validation, test, and sustainment.


ZeroV™ Services: Building on Proven Hardware Expertise

  • Custom FPGA Core Development
  • COTS Platform Bitstream Customization
  • Simulation, Verification & Prototyping
  • Full Lifecycle Hardware Engineering
  • Device Drivers, Software Toolchains, and Application Integration

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Latest News

ENVENTION Awarded Department of Labor Hire Vets Gold Medallion for 2025
ENVENTION, LLC has been awarded a Phase II NASA SBIR to prototype radiation-tolerant, GPU-accelerated FPGA hardware capable of DSP and AI/ML algorithms.
ENVENTION, LLC has been awarded a Phase I NASA SBIR to research and design radiation-tolerant, GPU-accelerated FPGA hardware capable of DSP and AI/ML algorithms.

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