A65
A65 is a marketing intelligence platform that combines synthetic audiences and autonomous agents to help companies make advertising decisions before spending media dollars. The platform deploys 3,717 persistent synthetic respondents calibrated to census-representative cohorts across 25 markets, achieving 93.3% parity with published Pew Research panels. A65 serves both enterprise teams through managed services and founder-led businesses via self-service subscriptions.
- Advertising Technology
- AI Agents
- Data & Analytics
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional advertising decisions rely on slow, expensive market research and fragmented campaign execution where institutional knowledge lives inside individual team members. When agencies depart or team members leave, accumulated learnings about creative, audience, and channel performance are lost, forcing brands to repeatedly reset their intelligence from zero.
Solution
A65 provides an integrated marketing intelligence platform that combines three layers: CrowdOS for population intelligence using persistent synthetic respondents, AgentOS for autonomous campaign deployment, and CreativeOS for creative intelligence. The system is calibrated to each brand's historical performance data from day one and persists learnings across every brief and campaign run. Enterprises can engage A65 through managed services where customer success managers and creatives operate the technology stack, or as self-service subscriptions for founder-led teams. The platform closes the loop between research insight and media deployment, allowing performance to compound rather than plateau.
Target Audience
Primary customers are enterprise performance marketing teams seeking managed advertising services with a compounding intelligence layer, and founder-led businesses that need self-service marketing intelligence tools for research and campaign optimization.
Features
- CrowdOS deploys 3,717 persistent synthetic agents calibrated to census-representative cohorts across 25 markets and 17 languages, with daily updates from real-world news and behavioral signal
- 93.3% benchmark parity validated against a published 25-question Pew Research panel, with median 60-second response times for 200-person studies at $0.01 per respondent
- AgentOS trains campaign agents on a proprietary dataset of $6B in ad spend, pacing across channels while calibrated to brand-specific historical performance
- Synthetic respondents are persistent and evolve daily, enabling longitudinal tracking and consistent cohort behavior across repeated briefs
- Three-horizon deployment model (T+0, T+90, T+12 months) ensures creative priors, audience models, and channel knowledge compound within the system rather than living in individuals who may leave
- Pulse voting with linear pricing structure; no tiered platform fees