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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

Chevron is in talks with Microsoft and Engine No. 1 about a massive natural gas power plant in Texas. Photo via Getty Images

Software giant Microsoft is negotiating exclusively with Houston-based oil and gas titan Chevron and investment firm Engine No. 1 about the development of a $7 billion power plant in West Texas that would supply electricity for a Microsoft data center campus.

The proposed natural-gas-fired plant initially would generate 2,500 megawatts of electricity, Bloomberg reports. The plant would be built near Pecos, a Permian Basin city, in an area where Microsoft plans to build a 2,500-megawatt data center campus on a 7,000-acre site.

A deal with Microsoft would secure a long-term customer for the plant’s output and help finance its construction, Bloomberg says. The project, expected to be producing power by 2030, still requires tax and environmental approvals as well an agreement to terms among Chevron, Engine No. 1, and Microsoft.

In a statement issued after Bloomberg reported the news, Chevron acknowledged it was in exclusive talks with Engine No. 1 and Microsoft, but the oil and gas company offered no details.

Chevron says the proposed plant “reflects an emerging shift in how power for AI is being developed, bringing energy supply closer to demand through co-located, behind-the-meter generation to deliver reliability while helping avoid added strain on regional electricity systems. It pairs sustained, always-on demand from advanced computing with proven capability to design, build, and operate large-scale energy infrastructure.”

Development of gas-powered electrical plants for AI data centers represents a new—and potentially lucrative— business line for Chevron. In 2025, Chevron, Engine No. 1 and GE Vernova announced a partnership to produce natural gas for AI data centers in the U.S.

Chevron’s collaboration with Engine No. 1 has already secured an order for seven large natural gas turbines from GE Vernova, according to Bloomberg.

“Energy is the key to America’s AI dominance,” Chris James, founder and chief investment officer of Engine No. 1, said last year. “By using abundant domestic natural gas to generate electricity directly connected to data centers, we can secure AI leadership, drive productivity gains across our economy, and restore America’s standing as an industrial superpower.”

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