01 / DIAGNOSE
Find out what the machines already say
We establish the baseline: what assistants say, which competitors they name, and where evidence fails. Most organisations have never seen this machine-readable version.
AI advisory / AI-native products
Make what you know legible to machines.
We make organisational knowledge machine-readable. We capture what a business actually knows about itself, give it a shape machines can use, and measure whether it worked.
What makes you worth choosing is missing.
02 / STRUCTURE
Get what people know out of people
We surface knowledge held by staff, regulars and reputation, then define the entities, relationships, provenance and refresh rules that make it retrievable by software.
03 / ENABLE
Build what keeps it accurate
We design the schema, retrieval path and pipelines that keep knowledge current, so systems can parse, reach and attribute it without manual maintenance.
04 / SUSTAIN
Watch it for drift, and prove it moved
We set the baseline, measure monthly for drift, and report what moved with its margin of error. The proof is whether the evidence improved.
Our north star
Every business as well understood by a machine as it is by its regulars.
A capability built in both directions.
01 / WHAT ADVISING TEACHES
Every businessis different
Working across organisations shows you which problems are common and which are specific to one company. That is what stops a product being built for a business that does not exist.
02 / WHAT BUILDING TEACHES
Recommendationshave consequences
Building the product meant living with every decision about what to capture, how to type it, and who keeps it current — and discovering which of those decisions were wrong.
03 / WHAT MOVES BETWEEN
The method, notthe code
Nothing we build for one client becomes another client's software. What travels is the method: which questions to ask, which fields change an answer, what breaks when knowledge goes stale.
04 / WHY IT MATTERS TO YOU
We have alreadymade the mistakes
The approach we bring has been tested on something we could not walk away from. When we say a decision is expensive to reverse, it is because we reversed one.
The method, applied
We built one ourselves.
We chose one industry and did the work end to end.
wAIno is the result: an AI concierge that tells diners whether a place is right for the occasion, from what the venue says and what diners who went confirm. Launching in the UAE in 2027. Everything we learned capturing what a venue is genuinely good for now shapes how we advise anyone else.
