Every record traces back.
Field-level lineage on every number. See where it came from and when.
Local campaigns run it instead of hiring a consultant. Larger campaigns run it alongside theirs, to make that consultant's work faster and sharper.
Civitas is opinionated about how political and policy work should be done. Every product decision falls out of these three commitments.
Field-level lineage on every number. See where it came from and when.
Behavioral Score and Inferred Vote Score compute once. Field, comms, and creative all work off the same numbers.
Field directors, comms staff, and policy analysts get surfaces built for the hands on the keyboard.
Civitas handles voter understanding: behavioral scoring, inferred vote modeling, and precinct-level targeting, run by frontier AI models instead of a research team.
Ask a question in plain language and get the segment, the reasoning, and the next action back.
Three surfaces run the core intelligence, detailed on the Product page. Three more put it to work across the campaign.
Every voter, donor, and contact record resolved into one entity, scored with Behavioral and Inferred Vote scores.
Ask in English and get the segment, the reasoning, and the next action, not just a number.
Built using the same design language Palantir built for its own data platforms: ontology-driven, provenance-tracked, operator-grade.
Field, comms, finance, and policy each get a view built for their job, on the same voter graph and scores.
Multivariate testing tied directly to segment-level outcomes: what moved, not just what was sent.
Public discourse mapped to your electorate and your issue set, sourced and time-resolved.
Field directors, comms staff, policy analysts, finance teams, and the consultants who advise them all work from the same data.
Most political tech treats voter understanding, outreach, and measurement as three separate products. Treating them as one continuous workflow changes what an operator can do in a quarter.
Voter file vendors are good. The seams between them are not. A field-resolved ontology is the difference between five days of reconciliation and five minutes of querying.
The point of an AI layer in campaign intelligence is not to write your tweets. It is to compress the distance between a question, a defensible segment, and a measurable action.
Most political creative testing measures what people say they liked. Campaign intelligence measures what changed behavior at the segment level — and closes the loop in days, not cycles.