AI is only as intelligent as the world it can see.
Klimso turns your fragmented marketing data into one warehouse a machine can
reason over, then places it inside a world model of your business and your market.
Ad platforms were built to spend your budget. Explaining it was never their job.
Each platform models the world in its own shape: its own objects, its own hierarchy and its
own attribution logic. Klimso translates those systems into a shared model of your business so
that all the business metrics can be explained in one language.
Today that translation lives in somebody’s head, rebuilt by
hand every time a spreadsheet is refreshed and lost the moment that person leaves. Klimso
writes it into the warehouse instead, so the same definitions apply to every channel, every
report and every agent.
Six platforms, six models of the world
Metaobjectscampaign · ad set · adattribution7d click · 1d view · modelledmetricsROAS · CPA · CTR
Shopifyobjectscustomer · order · line itemattributionnon-direct · refunds · first ordermetricsrevenue · AOV · margin
Klimso translation layer
Klimso world model
Funnel aware warehouse
The same customer, creative and product keys run through every stage of
the funnel.
Reachimpressions · reach, spend
Engagementhook rate · thumbstops
Site visitsessions · PDP views
First ordernew orders · AOV, CAC
Repeatrepeat rate · days to next
LTV90d LTV · contribution
Any question about CAC or LTV becomes a query your team can run.
Five layers, from your systems up to the agents.
AgentsResearch, content, measurement, optimisation and
automation, wrapped into one workspace.
Klimso ML modelsContent decomposition, asset scoring, media
mix, incrementality, predicted LTV. Fitted on your own history.
World modelYour products, audiences, need spaces, goals and
constraints, and how they relate.
Semantic warehouseOne definition per number, with the grain,
the period and the source it came from.
Your systemsAd platforms, commerce, analytics, CRM, catalogue
and content, each in its own shape.
Shared context
All the agents, wrapped into one workspace.
Klimso agents do not each keep a private memory. They sit in one workspace and read one
world model, one warehouse and one record of what your team has already decided. A finding
from the content agent is available to the measurement agent. A constraint set once holds
everywhere.
That saves a growth team its most expensive hours. Nobody re-pulls the same numbers or
re-explains what a segment means, and every answer is consistent with the last one. A general
purpose AI assistant cannot do this. It has no durable model of your business underneath, so
every session starts cold and nothing one thread learns reaches the next.
Researchreads the market
Contentreads every asset
Measurementreads what worked
Optimisationmoves the budget
Automationruns it on a schedule
Shared context
World modelwhat your business is
Semantic warehousewhat is true right now
Decision memorywhat you already tried
Policieswhat is off limits
Talk to the founders.
Thanks, that is with us.
We read every one of these ourselves. Expect to hear back from us within two working days.