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.

By combining modular SBC architectures (x86/ARM, NVIDIA Jetson, AAEON UP Qualcomm, Raspberry Pi, ASRock, LattePanda, etc) with software-defined I/O and real-time inference, we're building a universal layer between hardware and software.

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 Jetson, x86, and ARM-based systems
  • • Edge-optimized AI execution (Whisper, Ollama, custom LLMs) for on-device reasoning
  • • 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 redefining the boundary between hardware and intelligence — where implying capability meets inferring compatibility.