About Zom

Built for the advisors who move markets

Zom is an advisory intelligence company focused on clarity, governance, and consistency. We believe advisors deserve systems that respect their expertise while reducing operational drag.

Mission

Institutional-grade intelligence for every advisor

Give advisors the same institutional-grade intelligence and operational clarity that the largest firms take for granted.

Independent advisors shouldn't have to choose between personalized service and operational efficiency. We're building the tools that let them have both: technology that scales their expertise without compromising their approach.

Why Zom Exists

Advisors spend too much time reconstructing context

The problem

Every client conversation starts with the same routine: pull up the CRM, check the custodian, review recent notes, scan for upcoming events. Advisors spend hours each week just getting oriented before they can actually advise.

Our solution

Zom exists to remove that cognitive tax and elevate every client interaction. We surface the right context at the right time, so advisors can focus on what they do best: making thoughtful decisions for their clients.

We design for the real advisory workflow: client context, investment policy, and firm oversight. The result is intelligence that feels grounded, not speculative.

Philosophy

Our view on advisors and AI

AI should respect advisor judgment

We build systems that reinforce professional standards rather than bypass them. Advisors have earned their expertise through years of experience and education. AI should augment that judgment, not replace it with generic outputs.

Firm policy matters

Every firm has its own investment philosophy, compliance requirements, and client service standards. Our platform is designed to understand and enforce those boundaries, not override them with one-size-fits-all automation.

Compliance is non-negotiable

Financial advisors operate in a regulated environment for good reason. Our tools are designed to work within existing regulatory frameworks, support audit requirements, and maintain the paper trail firms need.

Team

Small team, focused execution

We are builders, operators, and advisors working together to make intelligence feel native to the advisory workflow.

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Dom Carfagno profile picture

Dom Carfagno

Founder, CEO

College of Charleston

Dom founded Zom to give independent advisors the same institutional-grade tools and intelligence that large firms have. With a background in finance and technology, he's focused on building products that save time and elevate client relationships.

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Roman Buono profile picture

Roman Buono

COO

Yale University

Roman oversees operations and strategy at Zom, ensuring we deliver on our promise of institutional-quality tools for independent advisors. His experience in scaling operations helps us maintain quality as we grow.

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Josh Cureton profile picture

Josh Cureton

CSO

Penn State University

Josh handles strategy and operations, working to align our product development with advisor needs. His insights help shape Zom's roadmap and ensure we're building what advisors actually need.

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Apinan Yogaratnam profile picture

Apinan Yogaratnam

Senior AI Engineer + Backend Advisor

University of Toronto

Api combines AI engineering with backend architecture expertise to build robust, scalable systems. He ensures Zom's infrastructure can handle the demands of real-time market data and AI processing.

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Kamal Feracho profile picture

Kamal Feracho

UI/UX Engineer

Georgia Tech

Kamal designs and builds the interfaces that make Zom intuitive and powerful. With a focus on user experience and visual design, he ensures every interaction feels polished and professional.

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Dinesh Yadav profile picture

Dinesh Yadav

Backend Development Engineer

Georgia Tech (MSCS, Computing Systems)

Dinesh comes from Johnson Controls, where he built distributed backend systems using microservices, Kafka, and Elasticsearch. He brings 4+ years of experience in scalable distributed systems, SaaS, and backend development with Python, Java, Spring Boot, and is completing his MSCS in Computing Systems at Georgia Tech.

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Pranav Donepudi profile picture

Pranav Donepudi

AI Security & Observability Engineer

Rice University (MSCS)

Pranav is an AWS Certified Cloud Practitioner focused on strengthening security and observability across the platform. He has built production AI systems at scale, including an AI-powered recruitment chatbot with OpenAI GPT-4 and AWS, and brings experience in secure RESTful APIs, microservices, and enterprise React and Angular applications.

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Want to learn more about Zom?

Connect with our team for a walkthrough of how Zom supports advisory firms.