AI that ships into the operation.
Retail, manufacturing, consumer brands and high-volume service operations. Some of this runs on a shared data layer; some of it acts directly inside your systems. All of it starts on data you already have.
Many ways in, one definition of the truth.
A module is a way in, not a separate system — net sales is defined once in the semantic layer, not nine times in nine dashboards.
Every platform in one lake, with a language layer on top — answers in seconds, not BI tickets.
SKU-level demand across stores, own site and marketplaces — then where the stock actually goes.
Purchase order, delivery and invoice matched line by line, with only the exceptions reaching a human.
One detection engine on the lake, every alert routed to a named owner rather than to a dashboard.
Existing CCTV turned into a shelf, queue and footfall sensor — no new hardware, no store visit.
Every call, chat, review and return in one taxonomy, with the SKUs behind each complaint driver.
The question, not the ticket.
Someone asks in the words they already use. The semantic layer resolves what the words mean — the same definition your finance team signed off — and the answer comes back in seconds rather than as a BI request that lands next week.
defined once · used everywhere
The same lake, read four ways.
The modules and the agents do not change by sector. What changes is which question is worth asking first, and which number the answer has to move.
Six agents that read a document, a message or a queue and act on it inside your own systems.
The shelf, the buy and the conversation — store operations, merchandising and supply chain.
The floor, the vendor and the plan — five years of vision in production on factory floors.
General trade, modern trade and quick commerce — one plan across distributors and platforms.
The call, the ticket and the queue — high-volume desks where every conversation is evidence.
Week one, on your own history.
Every first deliverable is a replay on data you already have — so the number can be checked, not taken.
Figures are from live engagements. Client names withheld, and shared on a call.
Start with one use case
Fixed price, five days. By day five you have a working prototype on your own data and a costed build roadmap — yours to keep either way.
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