Client results

Delivered, adopted, in daily use.

Four client engagements and one in-house system, told in outcomes. Built by our team, delivered with a walkthrough, running today.

Client story card — Square S Construction, real estate development. Headline: She just talks to it. Full real estate development, run by conversation: daily workflows end to end, housing design for the Heritage Hills development, city build requirements worked project by project. Custom AI system, delivered with a single walkthrough.
Client story — Square S Construction · Real Estate Development

She just talks to it.

Their superintendent runs full real estate development by conversation — daily workflows end to end, housing design for the Heritage Hills development, and city build requirements worked project by project. A custom AI system, delivered with a single walkthrough.

Production AISingle Walkthrough
Case study card — AI estimating workflow, demolition. 30 minutes: full estimate runs, takeoff to priced output, down from hours of manual work. 90 percent: processing cost cut, standardized output, so accuracy went up while time went down.
Case study — AI Estimating Workflow · Demolition

30-minute estimates, 90% lower cost.

Full estimate runs — takeoff to priced output — finish in 30 minutes, down from hours of manual work. Processing cost dropped 90%, and standardized output meant accuracy went up while time went down.

Estimating90% Cost Cut
Client story card - GLI, state and municipal bidding. Headline: Ask at 11. Bid by 1. Full municipal bids, built between emails: takeoff, estimate, and proposal docs per project; addenda worked same day, city terms met; real estate portfolio rebuilt with clean valuations.
Client story — GLI · State & Municipal Bidding

Ask at 11. Bid by 1.

Full project-specific municipal bids — takeoff, estimate, and proposal documentation per solicitation. One bid went from emailed request to finished package in under two hours, with a city addendum worked in the same afternoon. A messy real estate portfolio was also rebuilt overnight into a clean, properly valued, decision-ready document.

Municipal BiddingPortfolio Valuation
Client story card - Safe Clean Solutions, commercial cleaning, NYC. Headline: Run NYC from Texas. The whole back office at the click of a button: invoices generated, not typed; scheduling built automatically; client communication drafted and ready to send. Full automation, managed from 1,500 miles away.
Client story — Safe Clean Solutions · Commercial Cleaning · NYC

Run NYC from Texas.

A full back-office automation for a New York City cleaning operation managed from Texas. One click generates the invoices, builds the schedule, and drafts the client communications, ready for review and send. The distance was never the problem; the manual work was.

Full AutomationOne-Click Back Office
In-house system card — PlastiBioFuel, reactor prototyping. Headline: Two AI engineers on the prototype. Zero new spend. Daily: full Monte Carlo simulations run against the current design and write results to a shared drive. Weekly: a scheduled AI cowork session reads the drive, updates the CAD model, and flags what the numbers say is wrong. Then: a human makes the call, and the design advances only when a change is clearly better.
In-house system — PlastiBioFuel · Reactor Prototyping

Two AI systems. One prototype.

A recursive design loop running on a reactor prototype. One system runs full Monte Carlo simulations against the current design every day and writes the results to a shared drive. A second scheduled session reads that drive weekly, updates the CAD model, proposes exterior changes, and flags what the numbers say is wrong. Each cycle starts from the strongest prior version, so the design compounds instead of repeating itself. Built on subscriptions already in use, with no new tooling spend.

Recursive LoopZero New Spend