imply+infer is a research lab pioneering a new class of adaptive hardware interfaces — systems that can automatically infer, virtualize, and interoperate with nearly any peripheral device.

Our work explores the frontier between kernel-level driver intelligence, virtualized device environments, and AI-driven hardware adaptability.

Where peripheral drivers work seamlessly across architectures, board layouts, and kernel versions, and hardware compatibility becomes fluid rather than fixed.

Our mission is to make hardware self-adaptive: a world where any sensor, network card, or controller can simply plug in, be understood, and function — intelligently adapting to its environment without manual driver tuning or board-specific patching.

imply+infer's research spans:

  • • Peripheral inference and driver synthesis through AI-assisted kernel virtualization
  • • Cross-architecture device abstraction for x86 and ARM-based systems
  • • Edge-optimized AI execution across speech, text, and image reasoning models (Yolo, Whisper, Ollama, Llama.cpp, etc) for real-time edge inference processing.
  • • Universal hardware adapter design, bridging legacy and modern peripherals through IOMMU-aware kernel virtualization and driver inference, enabling peripheral virtualization and secure DMA handling across heterogeneous systems

    • We're bringing this research to market through our Jetson Orin Nano Extended Developer Kit — a pre-configured, production-ready edge AI workstation that combines our software stack with carefully selected hardware upgrades, enabling developers to deploy AI applications immediately without weeks of setup. It's our vision in practice: hardware that understands itself, software that adapts to its environment, and AI systems that deploy anywhere without architectural friction.

    We're redefining the boundary between hardware and intelligence — where implying capability meets inferring compatibility.