Ciwi is a team building AI products and operating workflows for Shopify merchants

Ciwi did not start from a slogan. It started from a practical observation: many growing brands do not lose because their products are weak. They lose because expansion adds too much complexity at once. Language, platform rules, content updates, data interpretation, and cross-market operations all pile up faster than a small team can absorb them.

Who we are

We are a team of senior product managers and senior engineers with long experience across ecommerce platforms, product systems, and engineering execution, and we formally started Ciwi in 2025. Our team includes people from Amazon, TikTok, Temu, Microsoft, and ByteDance. That background gives us a practical understanding of platform rules, product tradeoffs, and how engineering should support real business operations.

What we want to build is not another layer of complexity. We want to turn that accumulated experience into products and workflows that Shopify merchants can adopt quickly and keep compounding over time.

Why we are doing this

For many brands trying to grow internationally, the hard part is not deciding to grow. The hard part is continuing to make good decisions when resources are limited and the operating environment gets more complex. We keep seeing the same patterns:

Those constraints drain time, focus, and judgment. We want to absorb more of that complexity so brands can spend more energy on product quality, brand building, and growth itself.

We do not want merchants to spend their time decoding systems and patching workflows. We want them to keep more of that attention for product decisions, brand expression, and operating moves that actually create advantage.

What we want Ciwi to provide

We are trying to build a product system that follows real operating work instead of a collection of disconnected features. For us, that means at least three things:

Turn complex platform knowledge into usable products

Most merchants are not missing intent. They are missing a structure they can actually apply. We want to productize platform knowledge, operating judgment, and best practices instead of leaving them scattered across consulting advice, internal know-how, or fragmented documentation.

Turn repetitive operational work into stable workflows

Whether the job is translation, multilingual content sync, analysis, or business review, teams usually do not need more manual steps. They need fewer repeated actions and clearer working systems. Ciwi keeps pushing those repeated motions into reusable product capabilities.

Make AI part of daily work, not just part of a demo

We believe AI is useful only when it enters real operating workflows: helping teams judge faster, execute more consistently, connect context across tasks, and keep improving with the business instead of sitting on the side as a novelty.

Why we think we can do this well

Because we understand both the platform side and the product-building side. We know how rules are formed, how systems constrain users, and how features need to be designed, implemented, and maintained if they are going to remain useful in real commercial environments.

That means we are not approaching the problem only as advisers and not only as engineers shipping features. We try to start from the merchant's real operating move, then reorganize product, content, data, and AI workflows around it.

How we want to work

• We do not optimize for feature count first. We ask whether the work improves the business motion.
• We do not fight time. We keep doing the long-term work that is right and valuable.
• We do not treat AI as a gimmick. We treat it as infrastructure for speed, judgment, and execution.
• We do not define the problem from a distance. We iterate with real merchants and real operating constraints.