Desktop-first and local-capable. Typesetting, inference, datasets, ops, workflows — each product solves one concrete problem.
Each one targets a concrete scenario, from content creation to model deployment.
Social content creation, made simple
A desktop content studio with four workbenches — AI ideation, material organization, WeChat article formatting, and social card generation. Typesetting runs on a local Rust engine, not a model.
An AI ops workbench that actually runs the commands
SSH, AI agents, and accumulated knowledge in one desktop tool. Ask mode suggests and executes in one click; Agent mode loops through tool calls on its own. Works with Ollama and OpenAI-compatible endpoints, so data never has to leave your network.
Cross-platform desktop YOLO inference
Three input sources — images, video files, and RTSP streams — with automatic CUDA acceleration. ROI alarms, fall detection, ByteTrack, and support for any Ultralytics .pt model, ready out of the box.
See your dataset clearly, clean it properly
A desktop dataset manager for deep learning. Visual browsing and statistics, annotation quality checks, YOLO / COCO / VOC conversion, and batch label editing — built to work with Easy Trainer Station.
Conda environments across Windows and WSL, in one place
A cross-platform Conda manager built with Tauri 2, React, and Rust. Manage environments, packages, and channels across Windows and WSL, with environment.yml import/export, offline delivery, and diagnostics.
YOLO training without the command line
A desktop workstation for YOLO training (in development). Configure hyperparameters visually, watch Loss and mAP in real time, manage training history and model versions, and work directly with Easy Dataset.
PyTorch and ONNX to RKNN in three steps
A conversion tool for Rockchip NPUs with a web UI and no CLI. Supports the full YOLOv8 family (Det / Seg / Pose / OBB), ResNet, and RetinaFace, with INT8 quantization, a calibration set builder, and real-time SSE logs.
Digitize your process, with AI at every step
An enterprise process platform with AI built in. Business users design workflows visually, and each node embeds an AI agent that guides execution, recommends knowledge, and checks quality automatically.
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Fire Wood Studio is a small team building AI-native products. We believe great AI tools should combine the energy of fire with the grounded patience of wood.
We understand where large models actually help and where they do not, and turn that understanding into tools people can use every day.
Local-first · Deterministic logic stays in code · Your data stays on your machine
On product design, technical trade-offs, and practice.