Team

The people behind Kaviani.

Kaviani leads the business and client work. Matchmatch is our technical build partner.

Client team

Cyrus Rahimi

Managing Partner and Founder

Cyrus founded Kaviani and runs the firm day to day, drawing on experience in banking and Deloitte’s M&A advisory practice.

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Cyrus founded Kaviani and runs the firm day to day. He previously worked in banking and in Deloitte’s M&A advisory practice. As the market shifted and clients became increasingly aware of the need for AI, he kept seeing the same problem: companies were trying the tools, but the work was barely changing. Kaviani grew out of that observation, and he works alongside clients and the firm’s business and technical teams to understand how the business runs and scope the work together.

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Dr. Nicholay Topin

Technical Build Partner, AI Engineering

Matchmatch

Nicholay founded Matchmatch, Kaviani’s technical build partner, and leads our AI engineering. He holds a Ph.D. in Machine Learning from Carnegie Mellon and has over a decade of production AI experience.

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Nicholay leads the design and build of Kaviani’s AI systems, turning the problems we define with clients into solutions that run inside the systems they already use. He founded Matchmatch, our technical build partner, and leads its team of Carnegie Mellon-trained engineers and scientists. He holds a Ph.D. in Machine Learning from Carnegie Mellon and has spent over a decade putting AI into production for Fortune 250 banks and insurers.

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Ethan Eisner

Partner, Go-to-Market

Ethan helps shape Kaviani’s go-to-market work and brings an operator’s view from his role as COO of Certified Flooring Distributors.

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Ethan helps shape Kaviani’s go-to-market work and brings an operator’s view of where the work gets stuck. He is COO of Certified Flooring Distributors, a distribution business in our market, where he runs day-to-day operations and long-term strategy.

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Dr. Greg Plumb

Technical Build Partner, Applied Machine Learning

Matchmatch

Greg leads applied machine learning at Matchmatch. His Carnegie Mellon research focused on making AI decisions clear and verifiable.

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Greg leads applied machine learning work at Matchmatch and helps execute Kaviani’s technical work. He holds a Ph.D. in Machine Learning from Carnegie Mellon, where his research focused on making AI decisions clear and verifiable by finding where models fail and explaining their predictions.

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Akshay Sinha

Vice President, Client Delivery

Akshay helps lead client delivery at Kaviani. He brings four years of experience in Deloitte’s M&A practice working with Fortune 500 companies.

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Akshay helps lead client delivery at Kaviani. He spent four years in Deloitte’s M&A practice working with Fortune 500 companies, from diligence to improving business systems and financial reporting, and holds an MBA from IIM Lucknow.

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Senior advisors

Sean Edmonson

Senior Advisor and Board Member

Sean brings an investor’s view, with more than 12 years of middle-market investment and advisory experience.

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Sean brings an investor’s view of what drives value in businesses like our clients. He is Managing Partner of Junction Equity Partners, with more than 12 years of middle-market investment and advisory experience.

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Kevin Kelly

Senior Advisor, GTM and Leadership

Kevin advises Kaviani on go-to-market work and leadership, drawing on experience founding Altvia and serving as CIO of Ridgepost Capital.

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Kevin advises Kaviani’s board and leadership on go-to-market work and on how to run and grow the firm. He founded Altvia, a software company serving private capital firms, served as CIO of Ridgepost Capital, and now leads Snofort, a leadership advisory and coaching practice.

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Jill Montera

Senior Advisor, Client Delivery

Jill advises Kaviani on client delivery. She spent 14 years at Altvia leading client services and customer success.

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Jill advises Kaviani on client delivery. She spent 14 years at Altvia leading client services and customer success and now leads Hathor Blue, an advisory firm for growing businesses. She understands both how to implement technology and what it takes for a team to adopt it.

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Start with the work your team wants to improve.