01
Eradicate Hidden Voids
Habyta surfaces rooms sitting empty, held, or mis-recorded — before they show up in next quarter's occupancy report.
●Pilot Program: 2 Operators Active
Stop losing revenue to unseen room issues.
Habyta continuously analyzes photos taken by your housing officers, instantly flagging void units, detecting maintenance needs, and verifying compliance without extra site visits. Turn standard inspection photos into actionable data.
Habyta OS
About us
Built by former housing operators, supercharged by computer vision.
We know firsthand that empty rooms and delayed repairs silently destroy margins. Habyta gives you x-ray vision into your portfolio, pairing our deep operational know-how with vision models that seamlessly analyze the photos your team already takes.
Our Solutions
Everything you need to run an efficient, proactive housing portfolio.
From photo capture to targeted action — designed specifically for the daily workflows of housing officers.
Why Habyta
Maximize yields and eliminate operational blind spots.
02
Accelerate Room Turnarounds
Real-time condition status per room tells your cleaning and repair teams exactly which units are genuinely ready to let today.
03
Audit-Ready Compliance Evidence
Photo-backed records of what was found, when, and what was fixed — perfect for clients, auditors, and safety regulators.
Built on serious infrastructure
Built on AWS Accelerated with NVIDIA GPUs Computer-vision native NDPR compliant by design
Our Mission
Next-generation property management powered by AI and expertise.
Our Testimonial
What partner operators say about working with us.
Habyta flagged 61 rooms we were still paying to heat and clean but had no tenant in. We closed the gap in one reporting cycle and cut void nights by a third.
Move-in and move-out photos now go through one pipeline. Deposit disputes used to take our team days of email; the evidence pack is ready before the tenant leaves the building.
We manage relocation stock across four cities. Seeing condition and compliance status per unit in one board pack is the reason we renewed after the pilot.
The Team
Built by operators, for operators.
We combine decades of housing management experience with state-of-the-art machine learning.
Ruth Adeleke
Co-founder & CTO
Machine-learning and computer-vision engineer. Leads the condition-detection models and the multi-property platform that turns inspection photos into room-level status.
Habyta OS
Room to room
An AI that audits every room, in every building you operate.
Early condition detection
Models spot damp, damage, missing items, and cleanliness failures in the photos your team already takes.
Targeted dispatch
Work orders point maintenance and cleaning teams to the exact building, floor, and room.
Void and cost savings
Help site teams re-let precisely instead of running blanket inspections across whole blocks.
Our Blog
Latest insights and tips from our team.
Operations
The real cost of a void room nobody logged
Most void loss is decided in the first week after a tenant leaves. Here is how room-level status beats a monthly occupancy spreadsheet.
Field guide
Spreadsheet or system? When a housing team outgrows the sheet
You do not need enterprise software on day one. A practical look at the portfolio size where manual tracking starts costing more than it saves.
Technology
What vision models actually see in a room photo
Damp, damage, missing inventory, poor cleaning — the visual signatures of a failing room are real and learnable. A plain-language tour.
