About Us — The Human Story Behind Construction AI

The Month Behind CFO

You know that story every construction CFO tells but no one laughs at anymore?

The one where invoices are a month behind, the project manager swears the delivery ticket is “in someone’s truck,” and the Controller quietly fixes coding mistakes that make cash flow projections look like bad guesses.

That story isn’t funny because it’s true. Everywhere. But here’s where it twists.

The AI That Didn’t Understand Dirt

A few years ago, a CFO at a mid-size builder tried one of those shiny AI tools — the ones that promise “automation in minutes.”

She uploaded her first batch of invoices. The system flagged a “material discrepancy.”

It had compared “Concrete – Job 214A” to “Concrete Pour – 214A East Wing” and decided they weren’t the same thing.

The AI didn’t understand construction language. It didn’t get dirt. It didn’t get jobs. It didn’t get people.

The Guy Who Left Wall Street

Meanwhile, on another side of the world — Wall Street — a quant engineer named Rishi Srivastava was training neural networks to move billions at Bank of America.

He realized something: “The smartest people in construction are doing the dumbest work — because software doesn’t speak their language.”

So he left the bank. Not to build another AI startup, but to build an AI that could speak construction.

The Human Machine

That idea became Beiing Human. The name means: The AI learns from you — not the other way around.

Rishi’s team built models that could read invoices, delivery tickets, lien waivers, and ERP codes like a field accountant would. The system didn’t just extract data — it understood context.

Invoices stopped piling up. Coding errors vanished. Month-end closed on time.

“It’s like having your best AP clerk cloned — and caffeinated.”

The Movement That’s Quietly Spreading

Today, Beiing Human runs behind the scenes at construction firms across the U.S. — Foundation, Sage, Deltek, QuickBooks — it plugs into them all.

A CFO in Kansas said, “For the first time in 10 years, our month-end closed a day after month-end.”

And suddenly, what started as one man leaving Wall Street becomes a whisper spreading across job trailers and boardrooms: AI that gets construction is finally here — and it’s still human.