
Pollen
ActiveAI agents that automate customer success
About
Pollen is building AI agents that autonomously improve retention. Pollen monitors every customer account to detect back-tested churn and upsell signals by connecting to your communications, support tickets, product usage, and CRM. Then, Pollen tells your team exactly which accounts need attention today and decides what to do next.
Founders Β· 3
CEO @ Pollen | CS grad @ UC Berkeley | Integrated ML in Amazon Maps app used by 100k+ Prime drivers | Published 6 apps with cofounders | Conducted ML research on COVID-19 classification at Columbia.
Engineering @ Pollen. Berkeley CS '25. Aldrin worked at AWS as a SWE twice, where he implemented AI context retrieval pipelines and search indices, serving 3M users. Started building iOS and android apps at 15 and published 3 apps on the App Store.
Co-Founder & COO @ Pollen | Berkeley EECS | Ex. LLNL, Data Archive Team | Building AI Agents that automate customer success for founders.
Launch
AI agents that make every customer feel like theyβre your first.
Pollen launches an AI-driven platform that connects to email, support tickets, product usage, CRM, and external data to monitor every customer account with AI agents, detect churn and upsell signals, and provide a prioritized list of accounts with suggested actions and automation tools for drafting emails, decks, and renewal strategies.
Formerly βDaymiβ
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