Real Projects, Real Results

Every product photo needed background removal, color correction, and resizing across multiple formats. At batches of 10,000+ images, that manual editing work was eating 200+ hours per batch — a bottleneck for the whole e-commerce operation.

We built an automated pipeline on ComfyUI with custom nodes for batch processing, using Stable Diffusion for image enhancement and AWS S3 for storage. Photos go in raw, come out retail-ready.

The result: a 10,000-image batch now runs in about 2 hours instead of 200 — a 95% reduction in processing cost.

The company's data was trapped in spreadsheets and scattered Odoo modules. Compiling a single weekly report took two days, and there was no real-time visibility into inventory, production, or sales.

We built a custom dashboard with React and Python that pulls live data from Odoo via its API, backed by PostgreSQL and WebSocket connections so every number stays current in real time.

Today, real-time inventory tracking, production monitoring, and sales analytics with AI-powered forecasting live in one place — across three systems — and the two-day reporting cycle is gone entirely.

Most AI setups behave like one overworked employee doing everything — coding, research, design, and operations. That leads to burnout, mistakes, and mediocre output.

Our Command Center assigns distinct roles: the researcher researches, the coder codes, the creative creates. No context contamination. No accidental design decisions from the coding agent.

The squad coordinates in its own channel, so handoffs happen automatically without copy-pasting between tools. It’s the difference between one intern and a full team.