Our story
Built to make the next step clearer
I started by helping build houses, went on to design the systems inside buildings, and eventually began building software to make complicated work easier.
Hi, I’m Brian Miller.
Founder of OrbiLattice · Electrical engineer · Software builder
New Jersey–based electrical engineer, software builder and Drexel University graduate (Class of 2016). OrbiLattice brings the way I approach work to real-estate entrepreneurs: dependable automation first, AI where it genuinely helps, and a focus on giving people their time back.
An interest in real estate. A familiar problem.
My interest in real estate started long before I began building this product.
While attending Burlington County College and deciding what I wanted to study, I worked framing houses, additions and decks. Around that time, I read Rich Dad Poor Dad and started imagining that I might eventually renovate and flip houses.
My path took me into electrical engineering instead. I continued my studies at Drexel University, graduated in 2016, and went on to work on building systems across commercial, educational, healthcare and manufacturing projects.
Years later, when my brother developed an interest in real-estate investing, I saw the field through a different lens. He was trying to learn the business while navigating software he found complicated, with workflows split across different tools.
I recognized a familiar problem: too much effort going into managing the process around the work. That gave me a reason to bring my engineering and software background to a field that had interested me for years.
From building systems to building software
My engineering work covered power, emergency systems, fire alarm, lighting, controls and communications across schools, hospitals, high-rises, manufacturing facilities and other commercial buildings.

Those projects taught me more than electrical design. They showed me how much effort goes into moving information between people, software, spreadsheets and deliverables, and how easily that effort turns into repetitive work under a tight deadline.
I taught myself VBA because so many engineering workflows still depended on handing information off to Excel. That became a deeper interest in how systems connect: how Revit parameters and the information inside a BIM model could support the work instead of being handled by hand again and again. Before AI was part of my process, I was learning C# and .NET and building my own electrical engineering tools.
The work became bigger than my own desk
As those tools proved their value, my role changed. I eventually stepped out of full-time engineering design to build software and processes for the wider organization, and that work has grown from individual productivity tools into broader workflow improvements.
The most rewarding part is still personal. When a tool lets someone finish on time instead of spending Friday evening or the weekend catching up, they get more than a faster deliverable. They get that time back for their family and their life outside work.
AI accelerated the building, not the philosophy
When AI became genuinely useful for software development, I could not put it down. It expanded what I could build and how quickly I could explore an idea.
My approach to the underlying work has not changed. I start by understanding the process and defining what a correct result looks like, then look for the simplest dependable way to produce it. If ordinary software can do a task consistently, that is where I start. AI belongs where it adds something real. The goal is not to put AI into every workflow; it is to make the workflow better.
What I want to change
I don’t think you should need a large budget, a technical background or an operations team to make useful property information work for you.
As I explored data sources and software options, I encountered costs, licensing restrictions and disconnected workflows that shaped what I could build. I wanted to pursue a different approach: make supported public records easier to find, understand and connect to the work people actually need to do, with clear sources and honest limits.
I also want the software to help people learn as they work. My ambition is for users to follow guided steps or ask an assistant to help complete supported tasks, within the same permissions and approval boundaries.
Affordability matters to me. I’m working toward reducing the need for overlapping tools and repetitive administration while building something I can sustainably maintain and support.
What that means for the product
OrbiLattice brings your contacts, properties, deals and next steps into one place. These are the principles I hold it to:
Guided steps, not a blank dashboard
Understand the next step without first becoming an expert in the platform. Assistance should explain the work, not just perform it.
Automation you can understand and control
Repetitive work should be handled for you, in a way you can read, adjust and switch off.
Information you can trace
Where supported, property findings should link back to their sources, with missing information and coverage limits made clear.
A clear line between suggested and done
Suggestions should be distinguishable from completed actions. Consequential actions should follow clear permissions and approval rules.
These are commitments, not promises of easy deals, and they do not replace your own judgment. To see what is in place today and what is not yet, read AI safety and governance and the capability proof center.
Outside the work
Outside work, I enjoy climbing, playing drums with friends and spending time with family. Martial arts was also a big part of my earlier life: I won Junior Olympic championships in taekwondo sparring in 2005 and 2006.

Where things stand
What began with my brother has grown through conversations with investors and small-business owners. Their feedback is helping me understand where clearer pipelines, connected information and practical automation can make the biggest difference.
OrbiLattice is an early product, and I am building it with feedback from people who do this work every day. Some parts are further along than others, and I would rather tell you that than let you assume otherwise.
If this sounds like a problem you recognize, I would like to hear from you.