We built the first AI-enabled cost segregation platform around the people who do it.
Cost segregation professionals drive the analysis. AI automation handles the busy work. Every study signed on the record.
Cost segregation has historically been slow, expensive, and opaque. Owners waited weeks for studies they couldn't read. Tax pros juggled spreadsheets and unclear deliverables. We rebuilt the engagement — same methodology, same rigor, a fraction of the time.
The process was broken. We decided to fix it.
The process behind a high-quality cost segregation study hadn't changed since Excel landed on every desk in the 1990s. It stayed slow and manual: months of work, tens of thousands of dollars, and a dense report at the end of it.
We saw an opportunity to take the operational drag out of the engagement, without giving up the engineering rigor a quality study requires.
So we broke the decades-old process down to first principles and rebuilt it from the ground up, with AI at the core.
One belief drives all of it: AI is not here to replace our experts. It is here to enhance them, to get them out of the mud and focused on the work that matters most.
Four principles we don't move on.
Cost segregation is a financial product. It deserves the same standards of clarity and accountability as any other piece of professional financial work.
Accuracy over hype.
A study is only as good as the methodology behind it. We document every classification, cite the audit guide section, and stand behind the work. No marketing-grade savings numbers.
Plain language, always.
You should be able to read your own report without a glossary. We write the way we would want a study explained to us — clearly, with the math shown.
A human owns the report.
AI assists with the schedule. A cost segregation specialist reviews every component, every recovery class, every assumption — adjusts what needs adjusting, and signs the deliverable. The name on the report is a person, not a model.
Honesty about outcomes.
Every property is different. We tell you upfront what your study is likely to deliver — and when a study is not worth the engagement fee, we tell you that too.
We don't hide behind complexity.
Cost segregation is technical work, but the decisions inside it shouldn't be a black box. Here's what you can expect from us, every engagement.
The people who sign the work.
Software speeds the work up. The judgment behind each classification is human — and these are the humans. Tax pros, engineers, and operators who have spent careers in cost segregation and the tax code that surrounds it.
Greg DiNardo, CPA
Greg is a licensed CPA and former software founder with deep expertise in cost segregation, depreciation, fixed-asset accounting, and IRS compliance. He leads the Segtax modern approach with a focus on automation, data integrity, and compliance.
Joe Acanfora
Joe is a software engineer and technical leader with experience across startups and large-scale platforms, including Meta. At Segtax, he leads the development of the technology platform, building secure, scalable systems designed for auditability and full traceability.
Jeff Lunder
Jeff is a nationally recognized cost segregation expert with more than 35 years of experience in engineering-based depreciation and tax consulting, including leadership roles at a Big Four firm. He helps ensure the Segtax AI-driven workflows are grounded in proven methodology, technical rigor, and IRS-defensible standards.
Sean Lustyan
Sean has over a decade of experience working with CPA firms, professional associations, and real estate investors on tax-incentive strategies. Before joining Segtax, he spent ten years at a national tax advisory firm helping clients identify and implement tax-efficient solutions.
Built for two distinct paths.
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