Optiq

On Veterans Day, we honor everyone who has served this country in uniform, and the families who served alongside them. Thank you. 🇺🇸

AP has called it. California has defeated Proposition 40. Optiq is proud to have built the voter model and analytics for opposition to it over the course of the past year for multiple phases of the campaign. Congratulations to everyone who worked on the effort.

Full segment here: youtube.com/watch?v=oOcGgcna…

Our co-founder and CEO @ColePatterson spoke with @EytanWallace to talk about how campaigns are using AI and what early-vote trends look like headed into the 2026 General Election.

Our CEO and Co-founder, @ColePatterson spoke with @ZavalaA on California Politics 360 to talk about the Civiq campaign intelligence platform, break down how campaigns are using AI, and what the latest California ballot returns are telling us. Catch the segment this Sunday on @kcranews.

This isn't speculative. Over half the audiences built in Civiq are already created entirely by AI agents. We expect AI-driven targeting to far surpass manual targeting within the year in the platform. Miqa is how that reaches every campaign and not just the ones with a data team.

This is why Miqa can do what it does. When you ask a question, it isn't searching. It's traversing relationships that already exist in the knowledge graph. Every answer is grounded in verified data in the graph and traceable back to its sources and not a language model's plausible-sounding guess.

Most data platforms sell you spreadsheets. A file here, a file there, and some other file in a third format that doesn't join to either. The burden of connecting them falls on the user and most of the signal dies in the gap. The new wave of "AI for campaigns" inherits the same flaw: a language model bolted onto a one-row-per-voter file. It can filter rows but it can't answer the questions that decide strategy. Those answers don't live in any single row. They live in the relationships between voters, geography, election results, and money. So we built the relationships first. Every person resolves to one identifier. Every geography to a common spine. Every dollar, committee, and contest to entities that persist across cycles. When a donor writes a check, Optiq knows who they are, where they vote, which districts they live in, how their neighborhood has voted for two decades, and who represents them. That's not a library. That's an ontology.

Underneath Civiq is what we call the Optiq Ontology: a living graph of civic life. Every registered voter. Every campaign dollar disclosed. Every district boundary, past and present. Every election result, down to the precinct and census block level. Census demographics, legislative geography, donation histories. All connected through a single identity spine, not stitched together at query time. When a district gets redrawn, the graph knows which voters moved with it. When a new finance filing drops, it's connected to the donor, the committee, and the race within hours. The ontology isn't a snapshot. It updates as civic life happens.

Today we're introducing Miqa, an AI workspace built on a living ontology in Civiq.

We've been building something.

Grok 4.5 just landed across agents in Civiq. We've already seen user tasks being resolved faster with more efficient responses across the platform. Letting agents build your audience targeting is the future of campaigns. @grok