Research
Applied research from our R&D work — edge vision, agritech robotics, and real-time systems.
This section is still under development.
We're building out the full research index. In the meantime, our latest R&D notes are available below.
Researching the frontier, not just claiming.
Field notes and technical teardowns from our R&D work published openly so the engineering is verifiable, not asserted.
How to Build a Field-Grade Vision Stack in 2026: The Complete Edge Roadmap
A teardown of what actually limits autonomous weeding robots in the field. The finding is counterintuitive: inference was never the bottleneck. YOLOv11-Nano clears a frame in 2.4ms and RT-DETR holds 12–18ms even in dense polyculture, but mechanical settling eats 30–50ms of the 100ms perception-to-action budget. The models got fast years before the motors and valves did. The roadmap covers NMS-free detection for overlapping canopy, the INT8 quantization trade that quietly costs you young seedlings, thermal throttling on a passively cooled Jetson Orin NX, and why ISO 18497 and EU Regulation 2023/1230 mandate deterministic safety controls that override the network entirely.