RoRo AI to level playing field for property brokerages in the US
New AI market intelligence platform launches into American market
Press Release New York – May, 2026 — Rodland Real Estate, a leading independent brokerage based in The Bahamas, is introducing RoRo to the United States market ahead of a phased global rollout. It is an artificial intelligence platform for real estate professionals, delivering real-time market intelligence through a sophisticated, voice-driven conversational interface designed to improve speed, clarity, and decision-making.
Beyond traditional analytics platforms and workflow tools, the service delivers real-time market insights derived from MLS and other data sources, conversational reasoning, and decision guidance embedded into agent workflow. Built to address a structural gap in real estate technology: while most AI tools help agents analyse data or automate tasks, very few help them interpret what is happening right now and decide what to do next. Designed specifically for real estate professionals, it empowers independent brokerages to compete at scale while preserving their local and bespoke brands.
“Independent brokerages are at risk of being crowded out by large, vertically integrated corporations with access to massive data and technology budgets,” says Tim Rodland, Founder, Rodland Real Estate. “RoRo was created to level that playing field. It provides brokers with real-time insight and decision support, without forcing them into a standardized national brokerage model. Independent brokerages don’t need to become national brands to compete at scale. They need infrastructure. (this service) provides that.”
More Than Comps, Dashboards, and AI Assistants
Unlike traditional analytics platforms that rely on static dashboards or reports, and unlike CRM-based AI assistants that focus on workflow automation, it functions as a unified intelligence layer for real estate professionals. The platform interprets live market data in real time—connecting pricing, behaviour, timing, and micro-market trends—and delivers insights through natural, conversational interaction. Brokers and agents can ask not just what is happening, but why, as well as how to respond. This is actionable intelligence that supports confident decision-making, not just analysis and comps pulled into a presentation.
Andrew Stanton CEO Proptech-PR
AI Agents are about to make SaaS look cheap
Economics matter, there is no hiding it, large-scale AI inference is expensive
Thought Leadership by Andrew Stanton Analyst & Consultant – Proptech-PR
For the last two decades, the software industry has been built around a predictable commercial model Software-as-a-Service (SaaS). Companies paid a fixed monthly or annual licence fee per user, gained access to a cloud platform, and scaled usage gradually as their business grew.
The economics were simple, a proptech platform might charge an estate agency £X per branch or £Y per user, or £Z per month for enterprise access. Whether a user logged in ten times a day or once a week, the provider’s infrastructure costs remained stable. Cloud hosting, storage, and support costs were manageable and predictable. With gross margins often exceeding 70–80%.
Artificial intelligence is now disrupting that model entirely
The next generation of proptech platforms will not simply provide software tools. They will deliver outcomes. AI systems will negotiate with landlords, qualify leads, write listings, answer tenant queries, manage maintenance workflows, analyse portfolios, produce valuations, chase arrears, and potentially run entire operational processes autonomously through agentic workflows.
But unlike SaaS, AI does not scale cheaply, and that changes everything.
From access to software to consumption of intelligence
Traditional SaaS charges customers for access but AI services increasingly charge providers for computation. Every AI-generated email, valuation report, maintenance summary, tenant interaction, or sales negotiation consumes tokens — the underlying units of computation used by large language models.
This introduces a fundamentally different cost structure. A CRM platform can serve thousands of users with low incremental cost. But an AI agent managing complex workflows continuously may generate millions, or even billions of tokens per customer every month.
In practical terms, a SaaS platform might cost a provider pennies per user per day. An AI-driven operational platform could cost pounds, tens of pounds, or eventually hundreds of pounds per user depending on how autonomous and sophisticated the workflows become.
The more value AI delivers, the more compute it consumes. That creates a paradox for the Property/proptech industry. The more intelligent the system becomes, the more expensive it becomes to operate.
Agentic workflows will multiply consumption
Today, most businesses use AI intermittently. A user opens ChatGPT, asks a question, receives an answer, and leaves. That is not the future being built. No, the future is agentic.
Agentic systems do not wait for prompts. They continuously execute tasks, communicate with other systems, make decisions, trigger workflows, retrieve data, generate outputs, and monitor environments autonomously.
In a proptech context, an agentic workflow might monitor inbound property enquiries, qualify leads automatically, book viewings, generate follow-up emails, update CRM records, analyse tenant affordability, produce compliance documents, chase outstanding paperwork, recommend price adjustments. And communicate with landlords, coordinate contractors, produce management summaries and forecast portfolio performance.
And all of this happening 24 hours a day, and every single action consumes compute. Every API call, reasoning cycle, retrieval process, memory operation, and multi-agent interaction increases token expenditure.
A traditional SaaS platform might process database transactions cheaply. In contrast an AI-native platform may perform thousands of reasoning operations for what previously required one button click.
Andrew Stanton CEO Proptech-PR
If You Don’t Control Your Building Data, You Don’t Control the Future
Week 48: Data Ownership – The Most Undervalued Asset in CRE
In this weekly series, we explore how the commercial real estate industry is being transformed by data and digital infrastructure. Guided by the principles in Peak Property Performance (Podcast & Best-Selling Book), we unpack a new idea every week to help owners unlock value, reduce risk, and digitally future-proof their portfolios. Learn more about OpticWise and Bill Douglas, (Pictured below) the authors of this series.
Most owners know what they own relative to technology, digital, and data.
They own the land.
They own the building.
They own the leases.
But there’s a critical question most haven’t asked:
Do you own your building’s data?
The Silent Transfer of Value
Across CRE, data is being generated constantly:
- Tenant behaviour and usage patterns
- Energy consumption and system performance
- Access logs and security activity
- Network traffic and connectivity usage
- Maintenance history and operational trends
But in many buildings, this data isn’t owned by the owner.
It’s controlled by:
- Access control vendors
- BMS providers
- Connectivity providers
- Software platforms
- Third-party service operators
This creates a silent but significant shift:
The building produces the data. But someone else captures the value.
Andrew Stanton CEO Proptech-PR
