The data isn't ready
Definitions, calculation rules, missing-data handling, and context arrive scattered across files and people. AI re-derives them, outputs drift, and your team absorbs the reconciliation work.
For Consultancies
The audience data layer underneath your client work.
Wick prepares, governs, and connects client survey data and consumer, voter, and B2B files, so your team can deliver AI-powered work without rebuilding the data beneath every engagement. You keep the client. You keep the credit.
The Relationship
You own the relationship. We make the data underneath it work.
Wick is the layer between your client's audience data and the AI systems that use it. Your team sets the goal, leads the strategy, draws the conclusions, and delivers the work. We prepare and operate the governed data layer underneath you — never the client relationship around you.
You keep the client
The relationship is yours. Wick works underneath your engagement and never sells around you to your client.
You keep the credit
The strategy, conclusions, and deliverables carry your name. We stay the layer the work stands on, not the name on the deck.
We stay underneath
Wick operates the governed data layer, not the engagement. Your value grows as the capability underneath each project compounds.
The Problem
AI exposes two problems in every audience-data engagement.
First, the client's data is not ready, so your team spends billable time reconciling facts that AI re-computes and re-interprets on every pass. Second, there is not enough of it: the joins, composites, variables, and models the engagement needs still have to be built.
There isn't enough of it
The useful intersections, composite variables, joined files, segments, and predictive scores do not exist yet. Each engagement rebuilds them unless the work is deposited back into a reusable layer.
What Wick Is
Make client audience data AI-ready — then make every engagement build on the last.
Wick turns survey data and consumer, voter, and B2B files into a governed layer people and AI can reason over reliably: computed once, audited, with context attached, and served through one gateway. New variables, models, and reusable capabilities return to the layer while your team owns the strategy and the work.
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How It Works
Govern the client's data. Build what the engagement needs. Connect it where the work lands.
Your team sets the goal. Foundry prepares a trustworthy foundation, Workshop creates the additional data and models the engagement requires, and Gateway serves the governed layer to the people and AI systems doing the work.
Step 01 · Govern
Foundry
Classify and govern the client's audience data. Prepare survey data, audience files, definitions, lineage, missing-data rules, and model records as one AI-ready foundation.
Matching data inherits the context and handling rules already bound to its type, so your engagement does not start cold.
Step 02 · Build
Workshop
Create the data the engagement is missing. Join files, compute composites, define segments, weight populations, and train models that score every eligible record.
New variables and reusable capabilities return to the governed layer instead of leaving with the final deck.
Step 03 · Connect
Gateway
Serve the layer through one governed door. Connect approved audience data and its context to assistants, agents, internal apps, APIs, and the workflows the client's teams already use.
The AI work you deliver can reason freely while starting from the same canonical facts and what the data actually says.