Zocks builds an AI-powered administrative assistant for financial advisors, automating meeting notes, form-filling, and client communication. The stack is infrastructure-heavy (Kubernetes, Terraform, AWS, multi-cloud security tooling) relative to a 51–200 person org, paired with active security and compliance projects — indicating either rapid scaling demands or regulatory pressure in financial services. Hiring is senior-skewed (7 of 9 open roles at senior/director level) and concentrated in engineering and design, suggesting product velocity and UX maturity are the near-term focus.
Notable leadership hires: HR Director
Zocks provides an AI assistant designed to reduce administrative overhead for financial advisors and wealth management firms. The product automates repetitive tasks including meeting transcription and note-taking, form processing, client intake, and email composition. The company was founded in 2022 and operates from San Francisco. The platform emphasizes privacy-first architecture and integrates with existing advisor workflows through enterprise controls and APIs. Active projects include live meeting experience redesign, AI model integration, document intelligence, and sentiment analysis from client conversations. Current hiring reflects scaling in engineering and design while managing compliance and HR infrastructure growth.
Zocks runs on AWS with Kubernetes orchestration, Terraform infrastructure-as-code, Python and Go backends, React frontend, and MySQL/RDS databases. Security and compliance tooling includes CrowdStrike, Wiz, Falco, AWS Security Hub, and GuardDuty.
Active projects include reimagining the live meeting experience, AI model integration into customer features, document intelligence foundations, security hardening, compliance support, and scaling infrastructure for deployment automation and monitoring.
Zocks | AI for Advisors's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.