I’ll compare your AI and data-center surveys in Wick, then publish a private Research Packet.
Wick Gateway plugin
Your research and audience data hold knowledge the internet can’t provide. Wick is the audience data platform that makes it usable by AI. It brings governed data, analytical tools, and context to the assistants and agents your team already uses.
See It In Action
We’re all in the people business. Your AI should be too. Your data holds what you know about the consumers, voters, and professionals you serve.
Wick classifies that data, computes evidence, and preserves its context. Your team and agents can explore what’s known, run governed analytical workflows, and build on every result.
Platform
Wick brings your audience data, the context behind it, and the tools to analyze it into one system. Your team and agents can work from existing evidence and generate new evidence of their own.
Wick automatically classifies audience data by meaning and structure, computes evidence, and builds rich, reusable context for AI. That knowledge grows with every dataset and analysis.
Put agents to work on the questions your team hasn’t had time to explore. Wick gives them the analytical tools to test ideas and generate new evidence.
Gateway gives your AI governed data, analytical tools, and skills through MCP. It can read the evidence, run your workflows, and write results back to Wick.
Our Model
Getting to the frontier of what AI can do for your business isn’t something you install. Wick brings the audience data foundation and the people who put it to work — one thing, because in AI they don’t come apart. We work inside your Slack, Teams or inbox, pick what’s worth adopting, and get to a return early.
Keep the main thing the main thing: the people you serve. We make your audience data usable by AI and build around the work that matters to you.
New models. Better tools. We test what’s useful for your business, build it into your workflows, and help your people use it. You don’t have to chase every launch.
Time to wow is everything. We start with a high-value use case, get it working quickly, and measure the return before expanding.