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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

Fervo's Cape Station geothermal project is ahead of schedule. Photo courtesy Fervo Energy

Fervo Energy’s flagship project in Utah just generated its first geothermal power.

The electricity is now flowing to the power grid from one of Cape Station’s three generation units, Houston-based Fervo said in a news release. This represents an early but important milestone for the project, as the unit isn’t scheduled to deliver contracted power until Oct. 1.

The achievement, coming four months after Fervo’s roughly $2.2 billion IPO, demonstrates the viability of enhanced geothermal systems (EGS).

“This is a gamechanger for the geothermal industry. It establishes EGS as the defining new power generation technology of our time, and we believe it shows that the commercial and technical maturity of EGS is ready to meet the urgent need for reliable, clean power,” Tim Latimer, co-founder and CEO of Fervo, said in the release.

The plant’s two other units are scheduled to launch commercial operations on Jan. 1.

The three units make up the project’s 99-megawatt first phase. The next phase, which will add 400 megawatts of capacity, is under construction. The second phase is set to go online in 2028.

Altogether, Cape Station will provide more than 4 gigawatts of capacity, with 900 megawatts already spoken for. The 900 megawatts of contracted electricity would be enough to power nearly 1 million U.S. homes per year.

“Cape Station works because we treated the subsurface like an engineering challenge,” Jack Norbeck, co-founder and chief technology officer of Fervo, added in the release. “Years of drilling, completion design, subsurface modeling, and flow testing led to this moment, and this is the validation that matters most.”

Enhanced geothermal continuously draws on heat that’s deep underground, producing electricity around the clock regardless of weather or time of day. That makes it one of the only carbon-free resources capable of constant power delivery, which is critical for data centers and AI infrastructure.

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