Press kit

Cost segregation, made simple.

For tax and wealth advisory professionals.

Residential asset depreciation platform. We build every study from the bottom up, rendering a 3d model and critical components and history from verified facts across MLS, assessor records, .gov deeds, and permit history, to engineer audit-ready depreciation.

Engineer-reviewed 7-day Audit-ready
At a glance Founder Bola Akinsanya, CEO · ex-Airbnb · ex-Google · ex-Wall Street Journal Digital Funding $1.85M Lead investor Wave Capital
Origin & founder

A $6,600 cost segregation study I couldn't understand.

Portrait of Bola Akinsanya, founder and CEO of Unlevered

Bola Akinsanya

Founder & CEO
ex-Airbnb · ex-Google · ex-Wall Street Journal Digital
Education
Babson MBA · Harvard Data Science (Agentic AI)
Complex systems engineer
Built the vetting system for Airbnb Experiences globally, engineering compliance against tax, license, and operating requirements for thousands of categories across 20,000+ markets.
Commercial
Sales leadership at Google · Fortune 100 financial partnerships at The Wall Street Journal Digital.
Revenue & GTM
Designed Airbnb's first agentic GTM motion for the Services business launch.

In December 2020, Airbnb went public. I had no time to plan. We were in the middle of a global pandemic, my first child was one month old, and just six months earlier, travel had come to a standstill.

Almost overnight, my equity became real money, and with it came a hefty tax bill. As an immigrant, I had quietly imagined that seeing a large sum in the bank would open up a new kind of life. In some ways, it did. But it also made one thing clear: we needed a real tax strategy and plan.

To be clear, I am glad to pay taxes. I live in San Francisco and value the parks, gardens, libraries, clean streets, and public spaces those taxes support. I was not trying to avoid my share. I wanted to understand how to plan responsibly while investing in a getaway that would enable me to enjoy the outcome of years of hard work. That search led us to the Sonoma Coast, where one house became a source of local economic activity, a place for guests, and a home for some of our most important family memories.

Coastal stilt house

Congress has long used the tax code to encourage activity it wants to see, from farming to housing to business investment. Real estate is no different. Tax deferrals and depreciation incentives are deliberate economic tools meant to encourage investment, improvement, and productive use of property.

And increasingly, they are becoming a channel of choice for high-income earners, not just large commercial real estate investors.

The following fall, I was at an Airbnb community event when another host mentioned cost segregation. I researched it, paid my CPA to help me understand it, and bought a house on the Sonoma Coast. It was a quiet escape from 60-hour weeks, but also a way to plan more thoughtfully around our tax liability.

Then I tried to get the study done. It cost $6,600, took five months, and came back as a thin MACRS table with no visible calculations. I could not trace the numbers. I could not see the assumptions. No one could show me the math.

That did not sit right with me. I had just finished a full remodel and had tracked everything: square footage, materials, room-level costs, what was removed, and what was replaced. So I rebuilt the study myself from the actual facts of the property, not a generic questionnaire.

That process became Unlevered: transparent, audit-ready cost segregation for people who were never shown their options, and for the tax professionals who want to serve them with confidence.

The platform

We build bottom-up.

Most tax software starts from the form and works backward. Unlevered starts from the asset. We reclassify every component of a property from the ground up, then calculate the deduction from there.

Every study comes together in two parts.

First, we gather the facts

We pull the property's details from the closing documents, permits, photos, and public records. That part is automated, so it takes minutes instead of weeks.

County assessorPermitsPublic recordsMLSReceiptsPhotos

Then we re-engineer the house into a 3d model from sourced facts

The allocation and depreciation run on a fixed, rules-based engine. Every figure is computed the same way each time, so the study holds up under review. We update the rules each quarter for any change in the law, and an engineer reviews and signs each one.

Engineer Agent ReviewAudit Agent ReviewHuman Case Review
Why CPAs love it

It runs over email. No new software to learn.

Step 1
Forward a client introduction
Step 2
We rebuild the asset and run the study from a simple PIS and address.
Step 3
Export the forms and schedules
Optional dashboard login, or simply email us for automatic responses.
Why me

Compliance systems are the hard part. I've shipped them.

I built the vetting system behind Airbnb Experiences. You encode the rules (licensing, verification, local tax), you make them reproducible, and you make them hold up across thousands of edge cases so that the startup doesn't inadvertently risk the $80B business. We had north of 500,000 host applications, and the engine had to scale to every one of them.

Cost segregation demands the same rigor. Get the classifications right, make them defensible, and empower a human specialist to sign off.

500K+
host applications the system vetted
20,000+
markets, each with its own rules

Trained by human experts

Industry experts trained the quality-assurance agents directly, so the model learned the standard from the people who have to defend it.

Construction engineer
Larrez Green, PE · Green River Development

Knows how buildings actually go together, down to the component.

CPA
Multiple partner firms

Knows how the deduction has to read when it lands in review.

Three case studies

Three Tax Deferral Strategies and Impact

Alex & Olivia case study cover Post-IPO investment

Alex & Olivia

An IPO tax bill paid for a dream house.

A hyper-growth tech career triples income in a single year. They buy in The Sea Ranch and turn a surprise tax bill into a deduction.

$275K→$1.1M
Income
$838K
House cost
$512K
Deduction
Naomi case study cover

Naomi

Proactive planning for one big year.

She buys in Tahoe instead of renting, and times the deductions to match the income.

$356K→$2.7M
Income
$1.25M
House cost
$850K
Deduction
Nancy & Walt case study cover

Nancy & Walt

A look-back study catches missed depreciation.

They inherited a Martha's Vineyard cottage and hosted for five years with no study. A look-back catches up the missed depreciation to erase the tax on a Roth conversion.

$130K
IRA Roth Conv.
$1.8M
House cost
$351K
Deduction
Names and addresses have been blinded or recharacterized for privacy. Scenarios and numbers are representative. Nothing here is tax advice.
About UnleveredCopy & paste descriptions
One-liner

Unlevered is the first asset depreciation platform built for tax professionals.

Short

Unlevered is the first asset depreciation platform built for tax professionals. It runs cost segregation studies calibrated to IRS standards in-house, reconstructing each property from the bottom up with verified sources (county assessor data, permits, public records, MLS, and client-provided evidence) to reclassify the basis into shorter recovery periods so owners and their CPAs capture a large year-one deduction, reviewed by a human and delivered within 7 days. Founded in 2025 by Bola Akinsanya, Unlevered is building toward the largest open library of public cost-seg studies.

Long

Unlevered is the first asset depreciation platform built for tax professionals. Cost segregation, which reclassifies a building's basis into shorter recovery periods to accelerate depreciation, has long been locked behind two-week engineering engagements and five-figure minimums. Unlevered brings it in-house: a deterministic, rules-based engine reclassifies every component of a property from the ground up, calibrated to IRS standards, with AI used only to speed the busywork and a human reviewing every result. Studies run over email, come back within 7 days, and are signed by an engineer of record. Founded in 2025 by Bola Akinsanya, who built the vetting system behind Airbnb Experiences, Unlevered has raised $1.85M led by Wave Capital and works with 10 beta firms (goal of 25). The company is building toward the largest open library of public cost-seg studies.

Press contact
Media & press
hello@unlevered.io
Partnerships
hello@unlevered.io
See the work for yourself.

Every claim here traces back to a public study.

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