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Zocks | AI for Advisors Tech Stack

AI assistant automating administrative workflows for financial advisors

Software Development San Francisco, CA 51–200 employees Founded 2022 Privately Held

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.

Tech Stack 37 technologies

Core StackAWS Kubernetes Terraform Python Go CrowdStrike AWS RDS React MySQL Java Node.js Twilio TypeScript HubSpot Marketo Pardot Salesforce Power BI Bash Vault AWS Secrets Manager Falco Wiz IBM Apollo IAM AWS Security Hub GuardDuty network ACLs LinkedIn Recruiter+2 more

What Zocks | AI for Advisors Is Building

Challenges

  • Slow inefficient processes
  • Compliance readiness
  • Integrating ai models into customer facing features
  • Data entry
  • Complex data sync flows
  • Integrating ai models at scale
  • Migrating legacy code to modern frameworks
  • Scaling hr functions for rapid growth
  • Ensuring compliance across european labor laws
  • Implementing scalable hr systems

Active Projects

  • Reimagining the live meeting experience
  • Simplifying complex data sync flows with external platforms
  • Integrating ai models into customer facing features
  • Cloud infrastructure lifecycle management
  • Security perimeter hardening
  • Compliance initiative support
  • Building the foundations of document intelligence features
  • Design and build tools and frameworks to automate development, testing, deployment, management and monitoring
  • Sentiment analysis from meetings
  • Ai meeting assistant adoption campaign

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering
4
Design
2
Finance
1
HR
1
Marketing
1
Security
1

Seniority

Senior
7
Director
1
Junior
1
Mid
1

Notable leadership hires: HR Director

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About Zocks | AI for Advisors

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.

HeadquartersSan Francisco, CA
Company Size51–200 employees
Founded2022
Hiring MarketsHungary

Frequently Asked Questions

What tech stack does Zocks use?

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.

What is Zocks working on?

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.

How this profile is built

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.