AI, Messy Data and Why Nobody Will Care Like You Do, with Alex Taylor (Part 2)

So now as we're in 2026 here, late 2026, AI has been a huge buzzword.

There's a lot of hype around it.

Do you utilize any AI within commercialized IQ, or what's the practical application here for AI in commercial real estate?

Yeah, so we are 100% an AI native platform.

So we built our own model, which we call Orion.

Basically, the ingestion point where we're funneling in all of this data from your RDS, your MRIs, your Excel models, your budgets, your email systems, your documents, your leases, all these different, again, even what's sitting in someone's head, how do you capture that? we use a model that we built called Orion.

So we're going to ingest that data pretty much instantaneously at this point.

Again, if we look at what we did, you

know,

V1 to where we're at now, you know, it used to take a couple hours to get that data in for a portfolio.

Now it literally takes a matter of seconds to complete.

And obviously, thank God, the cost has gone down quite a bit as well because the commoditization of some of these LLMs has been a good thing for some and a bad thing for others, but it's certainly been good for us.

So look, I think the biggest misconception as it surrounds kind of this commercial real estate and we'll kind of call it data world and data means a lot of different things to a lot of people.

But everyone has this, what we are very confident is an incorrect stance which is we need to get this pristine data lake.

It needs to be comprehensive, beautiful.

Every element needs to flow in and they'll start using tools like Snowflake or other kind of data aggregation tools that are not commercial real estate native or purpose built.

And unfortunately, what that does, it becomes kind of like the dog chasing its tail because the more you try and get your data to be this pristine, still data lake, You've got dozens of speedboats speeding around in that data, changing rents and tenants and expirations and buying and selling, and that process is forever going to be disruptive because if you stop doing that, if you stop disrupting your data, Well, you're dying then.

You're no longer an active commercial real estate group.

So what we are contending and what we have proven is you need to take this dirty, unorganized, wake-ridden data that you have that's splashing over the edges at all points in time And you need to apply a purpose-built AI model like Orion, like commercialized IQ, to clean your data and continuously utilize your data.

And that is what actually is going to audit and get you as close to evergreen, clean data as possible.

as anything because the manual element will again kind of forever be this very circular logic approach.

So to give you an example of that, we had a group that we brought on call it 80 properties, not enormous, but hey, that's a pretty strong portfolio.

80 properties is a good portfolio, mainly retail.

When we uploaded their lease and financial data, I think we encountered something in the realm of like 590 anomalies.

or contradictions between your rent roll says this, your leases say this, an amendment says that, your property manager says that, and no one's right.