Meet The Cohort
Forge Robotics
Dwello
As part of our AI Venture Forge “Meet the Cohort” series, we’re excited to spotlight a startup reshaping the future of property search: Dwello. They’re not just listing homes, they’re reimagining how people connect, with an AI-driven platform that makes renting, buying, and sharing properties transparent, seamless, and human-centred.
Website
Company | Property Management AI
What inspired you to rethink leasing & property management processes with Dwello’s technology?
We kept hearing the same frustration from landlords: property ownership was supposed to be passive income, but in reality, it feels like a second job. Every time a tenant leaves, landlords face weeks of advertising, showings, paperwork, and rent gaps, often paying a broker a full month’s rent for something that could be automated. The breakthrough came when we asked: What if every unit had its own memory and intelligence? Dwello was born out of that insight: to create “unit brains” that make properties run themselves.
How does Dwello simplify the experience for tenants and landlords?
For landlords, Dwello replaces messy WhatsApp threads, spreadsheets, and costly managers with a single AI system of action that remembers leases, repairs, receipts, and rent. For tenants, it’s even simpler: no apps to download. They just text or email as normal, and Dwello replies on the landlord’s behalf. Everything gets logged automatically, creating trust and transparency on both sides.
Can you explain how your end-to-end approach removes the need for brokers and PMs?
Our approach is simple: we re-architected property management around the unit as the brain and built Dwello as a system of action, not a system of record. Instead of landlords relying on people to remember, coordinate, and execute, each unit in Dwello has its own persistent memory that triggers actions automatically.
That means leasing, communication, compliance, maintenance, and financial tracking are all handled end-to-end inside one flow. A vacant unit is listed, prospective tenants self-view using digital access, applications are screened instantly, and once leased, the same unit brain continues to chase rent, coordinate repairs, and log receipts for taxes and insurance.
By automating the entire lifecycle with a unit-first, action-driven system, the traditional role of brokers and property managers, to fill the gaps between fragmented tools and human memory, is no longer necessary.
What kind of market traction are you hoping to build during AI Venture Forge?
We currently have over 20 LOIS signed: validating our early customer profiles and future strategy to land and expand into multi-family owners. During AI Venture Forge, our goal is to convert those commitments into live units on the platform and prove repeatable growth.
Specifically, we want to show two things:
– That landlords can self-onboard in minutes and experience value in under a week.
– That our early wedge in small portfolios naturally expands into multi-family owners, giving us a bridge from 1–4 unit landlords into the 50–200 unit operators who represent our longer-term growth path.
By the end of the programme, we aim to demonstrate traction not just in signed intent, but in activated units and expanding portfolios.
What challenges have you faced bringing this innovation to the property sector?
Our early customer profile doesn’t manage property full-time; it’s often their third job, after their careers and their families. They don’t have the time or patience to wrestle with clunky portals, spreadsheets, or expensive property managers. The challenge has been proving that a system of action can take the work off their plate without adding complexity.
That’s why we’re building software so intuitive that even non–real estate people feel more confident and joy in managing an investment property. Instead of endless dashboards or forms, Dwello runs in the background: replying to tenants, chasing vendors, logging receipts, and keeping compliance on track. The hard part is shifting landlord expectations from “I have to do it all” to “the system can do this for me” — but once they see it in action, the relief is immediate.
How do you see the international immersion trips helping Dwello expand?
The timing couldn’t be better. Dwello is at the stage where we need to build global credibility while still staying close to early customers. The immersion trips give us both.
In San Francisco during Tech Week, we’ll connect with investors and partners at the centre of the AI ecosystem. It’s a chance to position Dwello not just as proptech, but as an AI-native company creating a new category: a system of action for real estate.
Where do you envision Dwello being in 12–18 months after the programme?
In 12–18 months, we expect Dwello to have our full product live across Communication, Planner, and Financial Clouds, delivering the first true system of action for small landlords. Our goal is to have 500+ landlords onboarded, representing thousands of units, and generating over $200,000 in ARR.
By that stage, we’ll also have proven that our viral distribution model works, where every rent roll, tenant message, and compliance pack doubles as a distribution channel. That traction will position us to expand from our wedge in 1–4 unit landlords into larger multi-family owners, while keeping CAC low and outcomes high.
