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Podcast: How AI-powered detection can prevent workplace accidents before they happen

Stephen Ojji is rethinking workplace safety. Courtesy photo

Workplace safety has always been reactive. Incidents happen, reports are filed, lessons are learned — sometimes too late. But what if safety wasn’t about reacting to accidents, but preventing them altogether?

In this episode of the Energy Tech Startups Podcast, Stephen Ojji, founder and CEO of VisionTech, challenges how high-hazard industries approach safety. His vision? AI-driven incident detection that doesn’t just monitor the workplace —i t actively prevents injuries, ensures compliance, and builds a stronger safety culture.

From Oil and Gas Safety to AI Innovation

Stephen’s journey into energy tech isn’t what you’d expect. Starting as a safety engineer in Nigeria’s oil and gas sector, his early career was focused on ensuring compliance, training teams, and reducing workplace risks. But he quickly realized a flaw in the system — many incidents weren’t being reported at all.

"Workers don’t always report hazards, and not because they don’t care," he explains. "Sometimes it’s fear of consequences. Sometimes it’s just human nature — we’re focused on getting the job done. But ignoring small risks leads to big accidents."

That’s where VisionTech’s AI-powered safety monitoring system comes in. Instead of relying on human reporting, VisionTech integrates with existing workplace cameras, using computer vision technology and AI to detect:

  • Spills, fire hazards, and safety violations in real-time
  • Workers at risk of injury due to incorrect lifting techniques or missing PPE
  • Trends in safety culture, helping companies address recurring risks

"Think of it like having an extra set of eyes that never blinks," Stephen says. "Not to police workers, but to protect them."

AI and Safety: Moving Beyond Compliance to Prevention

Unlike traditional workplace monitoring, VisionTech’s AI safety system doesn’t track individuals — it tracks behaviors. The system uses ghosting technology, ensuring that workers’ identities remain anonymous while hazards are flagged instantly.

This shifts the focus from penalizing mistakes to empowering safer work environments.

"Companies say they care about safety, but what does that really mean?" Stephen challenges. "If safety is the priority, why not use every tool available to protect workers before an accident happens?"

And here’s the kicker: VisionTech doesn’t just detect risks. It helps companies act on them.

Instead of logging safety incidents in spreadsheets that go unread, the system transforms safety data into actionable insights — identifying patterns, trends, and areas for improvement that help companies make real, lasting changes.

Why Now? The Urgency for Smarter Safety Solutions

With OSHA regulations tightening and ESG commitments pushing for stronger worker protections, industrial companies are under growing pressure to do more than just meet compliance standards.

At the same time, AI and machine learning have advanced rapidly, making AI-powered safety monitoring more affordable, scalable, and accurate than ever before.

"If we had tried to build this 10 years ago, it wouldn’t have worked," Stephen admits. "The technology wasn’t ready. The market wasn’t ready. But today? It’s the right time, and the right tool for a problem that’s been ignored for too long."

What’s Next for VisionTech?

Currently in the MVP stage, VisionTech is preparing for pilot programs with oil and gas companies to prove its impact in real-world environments. The plan? Scale beyond oil and gas into manufacturing, construction, and any industry where safety matters.

But for Stephen, this isn’t just about launching another safety product — it’s about changing how companies think about protecting their workers.

"Safety isn’t just a compliance box to check," he says. "It’s about people. If companies really believe that ‘our employees are our greatest asset,’ then investing in their safety should be the easiest decision they ever make."

This is a conversation you don’t want to miss.

See the full episode with Stephen Ojji on the Energy Tech Startups Podcast below, or click here to listen.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

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A View From HETI

Houston's data center scene has received its latest bullish forecast. Photo via serverfarmllc.com

The Houston market could more than double its data center capacity by the end of 2028, a new report indicates.

The report, published by commercial real estate services provider CBRE, says greater demand for data center capacity in the Houston area is being fueled by energy companies, along with large-scale cloud services and AI-driven tenants.

In the second half of 2025, the Houston market had 154 megawatts of data center capacity, which was on par with capacity in the second half of 2024. Another 28.5 megawatts of capacity was under construction during that period.

“Multiple providers are advancing new builds and redevelopments, including significant power upgrades to recently purchased buildings, underscoring long-term confidence even as the market works through elevated vacancy and uneven absorption,” CBRE says of Houston’s data center presence.

One project alone promises to significantly boost the Houston market’s data center capacity. Data center developer Serverfarm plans to use part of a $3 billion credit facility to build a 250-acre, AI-ready data center campus near Houston with a potential capacity of more than 500 megawatts. The Houston campus and two other Serverfarm projects are already leased to unidentified tenants, according to CoStar.

A 60-megawatt, AI-ready Serverfarm data center is under construction in Houston. The $137 million, 438,000-square-foot project, located near the former headquarters of computer manufacturer Compaq, is supposed to be completed in the third quarter of 2027.

Data Center Map identifies 59 data centers in the Houston area managed by 36 operators, including DataBank, Data Foundry, Digital Realty, IBM, Logix Fiber Networks, Lumen and TRG Datacenters. That compares with more than 180 data centers in Dallas-Fort Worth, more than 50 in the San Antonio area and 40 in the Austin area.

Texas is home to more than 400 data centers, according to Data Center Map.

In November, Google said it’s investing $40 billion to build AI data centers in West Texas and the Texas Panhandle.

“This is a Texas-sized investment in the future of our great state,” Gov. Greg Abbott said when Google’s commitment was announced. “Texas is the epicenter of AI development, where companies can pair innovation with expanding energy. Google's $40 billion investment makes Texas Google's largest investment in any state in the country and supports energy efficiency and workforce development in our state.”

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