Intelligent Systems at the Edge

LeafLabs helps you design, deploy, and optimize embedded AI systems where it matters most: on-device, real-time, and resource-aware.

 

 Edge AI Services

  • Custom Edge AI solution development

  • Neural network compression & quantization

  • Real-time inference pipelines

  • Embedded hardware + AI co-design

  • Sensor fusion and signal preprocessing

  • Firmware integration for AI models

 

Edge AI Expertise

  • Deep expertise in embedded systems and signal processing

  • Proven track record with advanced AI pipelines on resource-constrained hardware

  • Specialized expertise in neurotech and robotics

  • Full-stack capability: from hardware design and bring-up through deployment and scaling

 

Edge AI Tooling

Deployment Targets:

  • Ultra-constrained: ARM Cortex-M (STM32, Nordic, TI), ESP32, custom ASICs

  • Mid-range: ARM Cortex-A (NXP i.MX, Raspberry Pi, TI)

  • High-performance edge AI: NVIDIA Jetson (Nano, Xavier, Orin), Intel, AMD/Xilinx Zynq Ultrascale+

OS & Runtime Support:

  • Zephyr, Linux, FreeRTOS, custom bare-metal

 

Trusted by:

LeafLabs provides Edge AI design resources and turnkey solutions to address your unique needs.

We provide embedded AI design and implementation services, offering flexible solutions to fit the needs of our clients.

Our talented and experienced engineers have worked on a broad range of complex projects with clients ranging from deep tech startups to researchers to Fortune 500 companies.

We pride ourselves on excellent designs, quick execution, and being a pleasure to work with.

 

Ready to talk to the team?

Learn about our full-stack approach, combining embedded systems expertise, AI-driven signal processing, and hardware-aware design to bring you intelligent automation at the edge and beyond.