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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

Sage Geosystems has selected a site for its next major geothermal facility. Photo via sagegeosystems.com

Sage Geosystems, a Houston-based developer of geothermal power systems, has chosen a site in Nevada for its commercial-scale Project Vector facility.

The company’s two-well enhanced geothermal system (EGS) will deliver around-the-clock geothermal heat to Ormat Technologies’ Blue Mountain geothermal power plant in Winnemucca, Nevada.

The startup expects to begin drilling the first well later this year, with the first electricity to be generated in 2027 and full-scale production to start in 2028.

In the Nevada system, fluid will circulate through an engineered subsurface reservoir, absorb heat from the surrounding rock and return heat to the surface. The heat will be delivered to the Blue Mountain plant for conversion into electricity.

Project Vector builds on the performance of Sage’s SMECI facility in South Texas. That facility’s results, combined with Sage’s digital twin platform, will be used to shape to the design and development of Project Vector.

Project Vector supports Sage’s growing commercial pipeline, including a 150-megawatt geothermal power agreement with Meta Platforms, the parent company of Facebook and Instagram.

“Blue Mountain is an ideal location for Sage to take the next step in continuing to commercialize our proprietary EGS approach,” Jason Peart, chief operating officer at Sage, said in a release. “By delivering geothermal heat into an existing power plant, Project Vector can demonstrate the model for bringing firm, 24/7 geothermal power to market at scale.”

Project Vector extends Sage’s relationship with Ormat.

In August 2025, Sage and Ormat agreed to accelerate commercialization of Sage’s geothermal technology at an Ormat power plant. This January, Ormat co-led Sage’s $97 million Series B funding round.

Sage, founded in 2020, has raised about $159 million across three funding rounds.

As the startup ramps up its ESG platform, Sage is targeting data centers as customers, among other large-scale users of electricity.

“The energy needs are huge, and they need it now,” CEO Cindy Taff said on Data Center Frontiers’ podcast. “They can’t depend on the grid anymore.”

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