The ConTech Exec

A construction site is the most dangerous version of a building, and it's the one with the least fire protection.I sat down with James Pecz, VP of North America at Ramtech. The Nottingham, UK company has been building wireless site-safety systems since 1990 and now runs its North American business out of Charlotte. James spent 15 years at a UK general contractor before he crossed over, so he knows what an alarm on a half-built job has to survive.The numbers stopped me cold. NFPA counts about 4,400 construction-site fires a year in the US. They're about 1% of structure fires but nearly 4% of property damage.We talk about:How a mesh radio network keeps alarms talking on sites with no Wi-Fi, no cell signal and no single point of failureWhy the UK made temporary fire detection standard practice, and what the US is borrowingNFPA 241, the Fire Prevention Program Manager, and the new NFPA 72 Chapter 28 James helped writeWhether wireless detection can stand in for a human fire watchThe medical-alert button that saved a worker having a heart attackData centers, where a fire is a schedule risk nobody can affordSafety we take for granted is safety nobody planned for.Guest: James Pecz, VP North America, RamtechReal People, Real Work, Real Talk.Chapters: 00:00 Welcome · 00:44 Ramtech's backstory · 03:42 UK code & US adoption · 05:57 Mesh networks · 09:39 Evacuation & medical alerts · 13:37 Mining & tunnels · 14:17 Fire statistics · 17:01 The phone call that started it · 18:47 Reactive vs. proactive safety · 20:24 NFPA 241 · 21:48 NFPA 72 Ch. 28 · 23:25 Replacing fire watch · 25:33 Small contractors · 28:57 Leasing vs. purchase · 32:28 Modular builds · 34:41 Success stories · 37:18 Safety we take for granted · 40:02 AI & data centers · 42:01 Data center schedule risk · 45:22 Wrap-up

Every estimator is a walking database, and some day that database retires.I sat down with Hamid Hajian, founder of Zebel, who grew up on job sites with his dad, a developer and GC. He saw a problem in precon at a big Bay Area multifamily builder and fixed it with a spreadsheet. That spreadsheet turned into a company.He never took VC money. When COVID shut the checkbook, he cashed out his 401k and bet on himself.We talk about:Why a “2020 project” is really a 2018 project (the date you bought out the trades is the date that matters)Why most companies use about 5% of their historical dataWhy the estimate and the budget never seem to line upThe AI estimating tool that shut down because nobody could explain its numbersWhy investors kept asking “where’s the AI?” and customers kept saying that’s the reason they buyHow much time precon deserves before the cost of capital starts eating you aliveWhy only a small slice of every AI dollar goes into construction, and why you still can’t make toast without the electricianBuilding the estimate is half the job. Defending it is the other half.Real talk with real people about real work.

Data center equipment lead times are stretching construction schedules, and generators, switchgear, and transformers are where it hurts most. Mike Powers, Co-Founder and CEO of BuildVision, walks me through a data center from the grid to the chip and shows why every piece has its own supply chain and its own waiting line.Then he tells a story I can't shake. At a data center conference in January, everybody was designing around a 2 megawatt generator. By summer, the factory had a pile of 1.5 megawatt units sitting on its line, unsold. When lead times run 30 to 60 weeks, a miss like that stays missed.What we get into:Why construction buys equipment one job at a time, while farming and car makers buy aheadWhy a brand-new type of transformer is like buying a first-year car when the building can't go downWhy hospital backup generators are stuck in the same lineMike's argument that AI will be the price of staying in the game for contractors, just like BIM, and the money will land with the ownerThis is the biggest build of our time, and construction is standing in the crosshairs.Guest: Mike Powers, Co-Founder & CEO, BuildVisionMike on LinkedIn: https://www.linkedin.com/in/mikerpowers/BuildVision: https://www.buildvision.io/BuildVision on LinkedIn: https://www.linkedin.com/company/trybuildvision/Real People, Real Work, Real Talk.

Everybody's building data centers the size of a small city. What if the better answer is a lot smaller?This week I sat down with Meltem Ballan, CEO and co-founder of Concrete Engine. She started her career as a pattern recognition engineer, worked on NATO projects, studied the brain, and spent time at General Motors. Now she's building distributed AI "factories" that are small, modular, and placed where the power and land already exist.This one is about where AI and construction meet. I want my construction folks to see a different model than the giant mission-critical build.What we get into:Why the big cloud companies have used up most of the computing power, and what that means for researchers and startupsDistributed AI factories: data centers of 10 megawatts or less, linked togetherEmpty office floors, grain elevators, and farmland as places for data centersCutting build costs with containers, insulation, and older generatorsWhy power price isn't the only bottleneck, and why construction cost matters just as muchWhat construction workers and local communities get out of it, beyond a few jobsFarmers owning their own dataMeltem's take on open-source AI tools going closedSmaller, local, and built with the community instead of dropped on top of it.Find Concrete Engine at concreteengine.comConnect with Meltem on LinkedIn: https://www.linkedin.com/in/meltemballan/Real People, Real Work, Real Talk.

Projects don't blow up in one big moment. They drift. The master schedule says one thing, the job site is doing another, and nobody finds out until somebody walks into the Monday meeting and starts shouting.This week I sat down with Carlos Carvalho of Aphex, calling in from London. Carlos started out with Costain on Crossrail (the Elizabeth Line) and HS2. He found the same old spreadsheets running some of the biggest jobs in the world. So he and his founding team built a planning tool for the people actually building the job, not the people reporting on it.We get into:Why a spreadsheet is where a plan goes to dieKeeping the master schedule and the daily field plan from drifting apartCatching delays the next day instead of weeks laterTalking into your phone instead of typing up a daily report at the end of a long shiftLanding a $6 billion job as your third customer, and the hair it cost himWhy data won't replace experience, and why no decision is sometimes worse than a bad oneCarlos is moving his family to Toronto in January to build out Aphex in North America. He showed his wife the city in July at 35 degrees. January is looking more like minus 25. Good luck, brother. Texas is always an option.Real People, Real Work, Real Talk.