Polis takes the voter targeting and outreach powers of a presidential campaign and makes them scale for anyone.
Polis generates efficient walking routes for canvassers' locations within seconds.
Canvassers can see how many voters they've contacted and how much support they've gathered.
Monitor your staff in the field and see live results– no manual data entry required.
Polis automates research, logistics, and data collection so staff can spend less time behind spreadsheets and more time in front of voters.
Get automatic turnout and voting behavior forecasts within minutes of signing up.
Time saved managing lists is time better spent engaging voters.
Monitor canvassers' locations and progress in real-time.
As the weeks and days tick down, Polis transistions seemlessly from persuasion, to GOTV, to poll monitoring missions.
We designed our mobile app to be intuitive for volunteers. No need for lengthy training sessions.
Connect Polis to your data on NationBuilder, NGPVAN, and other platforms.
Polis automates research, logistics, and data entry so staff can spend less time behind spreadsheets and more time in front of voters.
Polis' targeting algorithms were designed by political consultants to emulate their own best practices. We ask candidates a few questions about themselves, then rank voters in their district according to support and turnout likelihood.
Combine voter data from many sources to prioritize which voters to contact.
Deploy canvassers to areas identified with high densities of desirable voters and let volunteers generate new walklists at their locations to canvass on their own schedules.
Canvassers engage volunteers with personalized scripts to discuss the issues most likely to persuade them.
Polis analyzes voter responses, updates campaign staff on progress, and fine-tunes targets to make the next round of canvassing even more accurate.
Campaigners, developers, scientists– we believe better politics begins with better campaigns.
Management consultant at Parthenon-EY and former political campaign manager, Columbia '14
Full-stack developer at CrowdComfort and former political speechwriter, Princeton '10
Analyst at Biogen, machine learning specialist, former quantatative linguistics research assistant, MIT '14
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