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.

The question isn't whether AI will change work – it's whether we'll use this moment to finally build workplaces that enhance rather than diminish our humanity. Photo via Getty Images

Energy tech expert on how AI is changing in the workplace — and what employers need to recognize

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When OpenAI's GPT-4 made headlines by passing the bar exam and scoring in the top 10 percent on medical licensing tests, I noticed something fascinating: everyone focused on AI replacing professionals, but they missed the deeper story. AI isn't just disrupting work – it's exposing fundamental flaws in how we've built our entire workplace ecosystem. It's holding up a mirror to our organizations, revealing just how far we've strayed from what makes us uniquely human.

The World Economic Forum tells us 44 percent of workers' skills will need updating by 2027, but that statistic only scratches the surface. In my conversations with business leaders, I'm watching a transformation unfold in real-time. Take the accounting industry, where I've observed forward-thinking firms like Deloitte and PwC turning their accountants into strategic business advisors while other firms continue training junior staff for tasks that AI will soon handle. This isn't just a skills mismatch – it's a fundamental misunderstanding of human potential.

The challenge runs deeper than individual industries. McKinsey predicts 30 percent of hours worked globally could be automated by 2030, but I believe they're missing a crucial point. We've spent decades designing jobs around industrial-era ideals of efficiency and standardization – the very qualities that make them perfect targets for AI automation. In our obsession with measuring, standardizing, and streamlining everything, we've created workplaces that treat humans like machines rather than the complex, creative beings we are.

What's emerging is a striking paradox: as work becomes more automated, our workplace cultures are growing more disconnected. Microsoft researchers identified a "collaboration deficit" in remote work environments, with 56 percent of employees reporting a decline in workplace friendships. This cultural shift is occurring precisely when we need human connection most. During the Great Resignation of 2021, 47 million Americans quit their jobs, they weren't leaving because of salary considerations or technological inadequacies. The most common reasons cited were lack of human connection, purpose, and authentic leadership.

Yet instead of heeding this wake-up call, the rise of AI is pushing us further apart. A decade ago, the concept of "workplace family" was commonplace – now it's often dismissed as manipulative corporate rhetoric. This shift reveals a troubling blindspot in our thinking about work. Consider this: we spend more than 90,000 hours at work over our lifetime – more time than we spend with our own families – yet we're increasingly treating these relationships as purely transactional. In our rush to establish boundaries and protect ourselves from corporate exploitation, we've overcorrected, creating sterile workplaces stripped of human connection.

This timing couldn't be worse. As someone who studies the intersection of technology and workplace culture, I've observed a clear pattern: the more we automate routine tasks, the more our success depends on distinctly human qualities like trust, emotional sensitivity, and the ability to navigate complex interpersonal dynamics. Yet we're systematically dismantling the very cultural foundations that enable these qualities to flourish. It's as if we're entering a boxing match by tying one hand behind our back – at precisely the moment we need every advantage we can get.

The real crisis isn't that AI might replace jobs – it's that we're creating workplace environments that suppress the very qualities that make us irreplaceable. When we treat our colleagues as mere interfaces rather than complex human beings, we don't just damage relationships – we damage our capacity for innovation, creativity, and the kind of deep collaboration that complex problem-solving requires.

Some companies are starting to get it right. When I look at examples like IKEA, who chose to retrain their call center workers as interior design advisors rather than simply replacing them with chatbots, I see a glimpse of what's possible. They recognized something profound: you can't automate the human ability to understand what a frustrated customer really needs, or the intuition to read between the lines of what they're saying.

This is what I call the "human edge" – and it's far more nuanced than most leadership teams realize. It's the marketing manager who can sense team tension during a video call and address it before it derails a project. It's the sales representative who builds such strong relationships that clients stay loyal through market upheavals. It's the team leader who knows exactly when to push for more and when to show compassion. These aren't just nice-to-have soft skills – they're becoming our most valuable business assets.

But here's the challenge: we're still trying to measure workplace success like it's 1990. We track productivity metrics, sales numbers, and project timelines, but how do we quantify someone's ability to defuse a tense client situation? How do we measure the value of a team leader who creates an environment where people feel safe to innovate? These human capabilities – empathy, emotional intelligence, relationship building, creative problem-solving – are increasingly what separate successful companies from failing ones, yet they're nearly impossible to capture in a performance review.

When I talk to business leaders, I tell them bluntly: if a job can be reduced to a process, AI will eventually do it better. Our value lies in all the messy, human things that happen between the bullet points of a job description. Instead of asking "How many tasks did you complete?" we should be asking "How did you help your team navigate that difficult change?" Instead of training people to follow processes, we should be developing their ability to build relationships and navigate complexity.

It's time we started treating these human capabilities not as soft skills, but as core business competencies. The question isn't whether AI will change work – it's whether we'll use this moment to finally build workplaces that enhance rather than diminish our humanity.

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Nada Ahmed is the founding partner at Houston-based Energy Tech Nexus and author of Amazon Bestseller “Determined to Lead- The Disruptive Woman's Guide to Stop Playing Small and Transform your Career through Agile Leadership.”

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CultureMap Emails are Awesome

Houston startup debuts sustainable, bio-based 'leather' fashions

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Last month, Houston-based Rheom Materials and India’s conscious design studio Econock unveiled a collaborative capsule collection that signaled more than just a product launch.

Hosted at Lineapelle—long considered the global epicenter of the world's premier leather supply chain—in the vaulted exhibition halls of Rho-Fiera Milano, the collection centered around Rheom’s 91 percent bio-based leather alternative, Shorai.

It was a bold move, one that shifted sustainability from a concept discussed in panel sessions to garments that buyers could touch and wear.

The collection featured a bomber-style jacket, an asymmetrical skirt and a suite of accessories—all fabricated from Shorai.

The standout piece, a sculptural jacket featuring a funnel neck and dual-zip closure, was designed for movement, challenging assumptions about performance limitations in bio-based materials. The design of the asymmetrical skirt was drawn from Indian armored warrior traditions, according to Rheom, with biodegradable corozo fasteners.

Built as a modular wardrobe rather than isolated pieces, the collection reflects a shared belief between Rheom and Econock in designing objects that adapt to daily life, according to the companies.

The collection was born out of a new partnership between Rheom and Econock, focused on bringing biobased materials to the market. According to Rheom, the partnership solves a problem that has stalled the adoption of many next-gen textiles: supply chain friction.

While Rheom focuses on engineering scalable bio-based materials, New Delhi-based Econock brings the complementary design and manufacturing ecosystem that integrates artisans, circular materials and production expertise to translate the innovative material into finished goods.

"This partnership removes one of the biggest barriers brands face when adopting next-generation materials,” Megan Beck, Rheom’s director of product, shared in a news release. “By reducing friction across the supply chain, Rheom can connect brands directly with manufacturers who already know how to work with Shorai, making the transition to more sustainable materials far more accessible.”

Sanyam Kapur, advisor of growth and impact at Econock, added: “Our partnership with Rheom Materials represents the benchmark of responsible design where next-gen materials meet craft, creativity, and real-world scalability.”

Rheom, formerly known as Bucha Bio, has developed Shorai, a sustainable leather alternative that can be used for apparel, accessories, car interiors and more; and Benree, an alternative to plastic without the carbon footprint. In 2025, Rheom was a finalist for Startup of the Year in the Houston Innovation Awards.

Shorai is already used by fashion lines like Wuxly and LuckyNelly, according to Rheom. The company scaled production of the sugar-based material last year and says it is now produced in rolls that brands can take to market with the right manufacturer.

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This article originally appeared on our sister site, InnovationMap.

Houston energy co. names new COO to scale offshore decommissioning

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Houston-based Promethean Energy has named a new COO as it looks to scale.

Martyn Fear, former CEO of Altamesa Energy Canada Inc., will assume the role, the company announced last week. He brings decades of experience at energy companies such as BP and Maersk Oil and has held board positions at several private equity and venture-backed firms.

“Promethean has built a differentiated platform for managing and retiring late-life assets safely, efficiently, and responsibly,” Fear said in a news release. “The industry is facing a structural shift as decommissioning moves to the forefront, and the opportunity to combine operational excellence, disciplined project delivery, and innovative commercial models is incredibly compelling."

Promethean has developed an environmentally sustainable, integrated model for late-life asset management and offshore well decommissioning. Fear will oversee day-to-day operations at Promethean and the execution of this integrated operator-service model as the company looks to scale and expand to new markets.

“Martyn is a proven leader with a deep operational track record and a passion for building high-performance, safety-first organizations,” Aditya Singh, Promethean's CEO, added in the release. “As Promethean enters its next phase—scaling our integrated operator-service model and delivering first-time-right decommissioning at pace—his experience in transforming complex asset portfolios and leading global teams makes him the ideal COO to drive operational execution while we continue to advance our strategic vision.”

Last May, the company successfully decommissioned offshore orphaned wells in the Matagorda Island lease area. In November, it also announced that it had completed a multi-client project to safely plug and abandon an orphaned well on a storm-damaged platform in the South Timbalier lease area.

Both projects were based in the Gulf of Mexico, where Promethean is looking to grow.