Trace-AI is structured around four overlapping disciplines. Most engagements touch two or three of them — they're not silos. The thread that runs through all four: AI-augmented teams shipping at indie pricing, with senior engineers operating the stack long after launch.
We build commerce stacks that hit the 99-pagespeed bar.
Full-stack platform builds — Magento 2 + Hyva is our specialty, Shopify and headless commerce are routine. We don't hand off to a maintenance team after launch; we operate what we build. The same engineers who shipped your platform are the ones improving it six months later.
POS, ERP, commerce, pharmacy — we make them talk. Privately.
Most integration work fails one of two ways: an off-the-shelf middleware that breaks at edge cases, or a partner-API connector that crosses a compliance boundary it shouldn't. We write integrations directly against vendor APIs, with conflict resolution, retry semantics, audit trails, and strict data-boundary enforcement.
A multi-agent system that watches and acts on commerce in real time.
We're building the autonomous layer of commerce ops — a multi-agent system that monitors sales, ads, marketing, promotions, and inventory live, learns from your data, and acts. It drafts purchase orders. It rebalances ad budgets. It rewrites meta descriptions when crawl data shifts. You approve. It executes.
Validation, batch records and audit trails for Canadian compounding pharmacies.
Compliance overhead is the silent tax on every regulated business. We're building a stack that turns continuous validation, batch records, variance flagging and regulatory reporting into a background process — purpose-built for the Canadian compounding pharmacy market we know best.