REVA didn't start with a real-estate idea.
It started with a problem we had already spent time understanding in surveying.
While building Surfboard, we began to see how difficult it could be to make confident decisions when the information needed to support those decisions was scattered across different records, people, and institutions.
Finding a survey plan was one thing. Understanding what it meant, establishing its relevance, and connecting it to the other information needed to make a decision were different challenges altogether.
The deeper we went into surveying, the more we understood that access to information was only part of the problem.
People needed to be able to make sense of that information, too.
We carried that lesson with us.
01 / A FAMILIAR PROBLEM
A familiar problem in a different industry
When we began looking more closely at real estate, we recognised a similar pattern.
Before someone can make a confident decision about a property, there are questions that need answers.
What is the history of the title? Does the survey plan align with the available maps? What restrictions or setbacks affect the property? What do existing records tell us about the location?
The answers may exist, but finding them can mean navigating different sources, interpreting technical documents, and bringing separate pieces of information together.
For someone trying to make a property decision, that creates uncertainty. For professionals trying to advise their clients, it creates more work.
The industry was different. The underlying challenge felt familiar.
Important decisions depended on information that was difficult to bring together and interpret in one place.
02 / THE SAME SHAPE
We had seen this shape of problem before
Surveying had taught us to look beyond the document itself.
A survey plan carries technical information, but its value extends into the decisions people make with it. Its coordinates, boundaries, and relationship to other records can influence what happens next.
Real estate follows a similar logic. A property report is useful because of what it helps someone understand and decide.
In both cases, the work involves more than collecting information. It involves connecting the right information, putting it into context, and making it useful at the point where a decision needs to be made.
Recognising that pattern changed how we approached the problem.
We did not need to begin by asking what features a real-estate platform should have. We needed to understand what someone would need to know before making a decision about a particular property, and how difficult it was to find those answers today.
That became the starting point for REVA.
03 / BUILDING REVA
Building REVA
REVA, our Real Estate Virtual Assistant, brings together property intelligence that helps people investigate a location before making a decision.
It combines information such as title history, survey records, basemap alignment, setbacks, and land-use considerations into location-based reports.
The aim is to help people move from scattered information to a clearer understanding of a property, without having to navigate every source independently.
It is a different product serving a different industry. The questions, users, and workflows are not identical to those in surveying.
But the thinking behind it comes from the same place.
Start with the decision someone needs to make. Understand the information that decision depends on. Find where the process breaks down. Then build around what is missing.
04 / HOW WE BUILD
What this means for how we build
Working across industries has reinforced something important for us at TwoNode.
Industries have their own language, regulations, workflows, and ways of working. Understanding those differences takes time, and we cannot assume that a solution that works in one industry will automatically work in another.
But some of the underlying problems repeat themselves.
Information becomes fragmented. People spend time joining the pieces together. Important decisions take longer because the context is difficult to establish.
Recognising these patterns gives us a place to start. Understanding the industry tells us what to do with that insight.
That distinction matters. We are not interested in taking the same product everywhere. We are interested in understanding each industry's problems deeply enough to build something that fits.
Surfboard came from what we learned about survey plan records. REVA came from recognising a related challenge in property decisions.
Different products. Different workflows. A shared commitment to understanding the work before building the solution.
And that is one of the things we continue to learn as we build TwoNode: sometimes, the experience that helps you solve your next problem comes from an industry you have already spent years trying to understand.