Austin founder launches AI property manager for independent landlords

Isaiah Turner launched RentOS, an AI property manager that replaces percentage-based fees with a $99 monthly flat rate, targeting the 44 million U.S. rental units. It handles tenant questions, lease renewals, and vendor negotiations autonomously via its AI assistant, Mara.

Categorized in: AI News Management
Published on: Aug 31, 2026
Austin founder launches AI property manager for independent landlords

Isaiah Turner spent years in high finance studying where businesses lose value. His conclusion: the biggest leaks are operational, the tasks still done by hand that software could do cheaper. Now he has built a product based on that idea for small landlords.

Turner Digital Consulting has launched RentOS, an AI property manager for independent landlords, in Austin, Texas. The platform, developed entirely in-house, uses an AI assistant named Mara to handle tenant questions, lease renewals, vendor negotiations, and maintenance coordination. The company announced the platform's availability for landlords and tenants on iPhone on August 30, 2026.

RentOS lets landlords keep the management fee for themselves. Instead of paying a percentage of gross rent to a traditional property management firm, landlords pay $99 per month after a founding period. The platform moves rent directly from tenant to landlord over Stripe rails and never holds the money itself.

The model, not the manager

Turner does not see traditional property managers as the problem. He sees the fee structure.

"A manager on a percentage earns more when your rent goes up and your building breaks," he said. "That is not a bad manager. That is the business model. RentOS replaces the model, not the person."

Percentage fees, he argues, reward turnover and maintenance markups over keeping good tenants or keeping repair costs low. For larger, complex portfolios, a full-service manager may still be right call. For independent landlords with a handful of doors, that cost structure creates an information gap along with the cost - "the money leak and the communication leak are the same leak," as Turner puts it.

What Mara does

Tenants and landlords both interact with Mara through conversation, at any hour. She answers tenant questions about late payments in writing with a record, initiates lease renewals, handles units that are turning over, and reports portfolio performance or market conditions in a given zip code.

When a repair requires a vendor, Mara does not just dispatch a ticket. She calls vendors, collects competing quotes, negotiates the price, and shows the owner the actual invoice with no markup. If a situation escalates, she can contact attorneys and move the process forward.

Owners set a dollar threshold for how involved they want to be. Mara handles everything under it autonomously and asks for approval on anything above, either with a single tap or through a daily rundown of all activity. The owner gets 24/7 visibility on the property; the tenant gets 24/7 access to someone who answers.

"We haven't programmed a doorknob yet," Turner joked. His goal is a level of autonomy where opening the door for a showing is the last thing a human has to do.

The math

The percentage-of-gross-rent pricing model has governed in property management since before the internet. Turner argues it persisted only because no technology existed to challenge it.

"That fee has never been challenged because the technology to challenge it did not exist. It exists now," he said.

Every dollar saved on fees lands directly on net operating income (NOI), and NOI is what determines property value at a 5% cap rate, a dollar of monthly fee eliminated adds roughly $240 of paper value to a portfolio, without raising rents or renovating. RentOS also generates a real-time NOI dashboard landlords can take to a lender.

The product targets the roughly 44 million rental units in the United States, total segment that has not had this kind of tool at this price point. Similar AI Agents as automation in real estate is a space completeaitraining.com covers extensively.

The founding cohort

Rather than selling subscriptions early, RentOS is recruiting landlords to test the platform free, on a rolling basis, with direct access to the founder and a say in the roadmap. There is no contract and no lock-in; members can leave anytime. In return, they are asked to run real units through it and report where Mara falls short.

"I would rather have a hundred landlords trying to break it than ten thousand who never log in," Turner said. "Bring your portfolio. I'll take your feedback myself."

Turner reviews and contacts applicants personally. There is no cap on the waitlist. Landlords can apply at rentoperatingsystem.com.

Why this matters for management professionals

The question this raises goes beyond landlord cost savings: it is a demonstration of what happens to a service that gets modeled by software and sold for a flat fee. Managers in any industry who currently offload decisions under a percentage or markup model should watch the shift from percentage to flat-rate AI-driven service at work. The same change could arrive in any field where the cost of coordination has been hidden in fees. For those who manage real estate specifically, the $99-per-month flat pricing and the real-time NOI dashboard it promises - with high-visibility to lenders - are the concrete operational details worth evaluating.


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