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.

———

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

guest column

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.

-----

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.”

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Sage Geosystems brings South Texas geothermal plant online

powering up

Houston-based Sage Geosystems, a provider of geothermal power, has begun full operations at its South Texas facility for the San Miguel Electric Cooperative.

Sage says the plant was recently “placed in service,” according to a news release. This means it’s fully built and tested, and ready to generate and supply electricity to the grid.

Since selling its first electricity in Q2 of this year, the facility has been operating for more than four months to evaluate aspects like efficiency and water management. Sage relied on its GeoTwin modeling tool to carry out some of the testing.

The testing demonstrates Sage’s proprietary approach to geothermal power “overcomes one of the industry’s most persistent challenges, high water losses in engineered reservoirs, while delivering the consistent performance required to scale next-generation geothermal,” co-founder and CEO Cindy Taff said in the release.

Sage says the South Texas facility will serve as a model for future projects, including one in Nevada. The Nevada facility will use Sage’s proprietary technology to extract geothermal heat from hot dry rock, creating a reliable, affordable source of carbon-free power.

During the testing period, water losses amounted to less than 10 percent. This low rate indicates most water remains in the system, enabling Sage to capture more usable energy, boost power production and improve the project’s finances, the company says.

“Commercial geothermal isn’t just about creating a reservoir. It’s about creating one whose performance can be engineered, predicted, and consistent,” Lev Ring, the company’s co-founder, president and chief technology officer, said in the release.

Since being founded in 2020, Sage has raised $159 million in outside funding. This includes a more than $97 million Series B round co-led by Ormat Technologies and Carbon Direct Capital.

Two years ago, Sage announced a deal with Meta Platforms, the parent company of Facebook and Instagram, to supply up to 150 megawatts of geothermal power to Meta data centers.

Halliburton Labs adds 3 energy, materials startups to Houston incubator

green team

Three new companies have joined Halliburton Labs, the incubator for early-stage energy and hardtech startups run by Houston energy giant Halliburton.

Halliburton Labs provides the emerging companies with mentorship, industry connections, laboratory access and other resources as they work toward commercialization. The latest companies to join the incubator focus on battery materials, resource recovery and gas separation solutions to address some of the "key bottlenecks in the energy and industrial landscape," according to a news release.

The new members include:

  • Electroflow, a California-based company that produces lithium iron phosphate (LFP) cathode material from lithium brines through its proprietary process. LFPs are critical components in batteries used in electric vehicles, grid storage systems and industrial electrification, according to Halliburton Labs.
  • Osmoses, a Cambridge, Massachusetts-based company that has developed a membrane platform to reduce the energy use, cost and emissions associated with gas separations used in natural gas, hydrogen, helium and other industrial applications
  • SiTration Inc., another Cambridge, Massachusetts-based company that has developed electro-extraction and filtration technologies to recover critical metals like copper directly from mining waste streams more quickly and affordably. Its process has completed successful pilot projects with Tier 1 mining companies in three continents.

"Affordable and reliable molecules are essential building blocks of the energy future. Each company brings a bold, technical solution to a complex industrial challenge. We look forward to helping them scale and deploy their technologies," Andres Cabada, Halliburton Labs managing director, added in the news release.

Halliburton Labs previously added four new members from around the world —Nandina REM, Noon Energy, Proof Energy and Tidal Metals—this spring. Alumni from the incubator include Houston-based companies like NanoTech Materials, which is developing insulation and fireproofing to reduce heat transfer in buildings and outdoor infrastructure; and SolvCor, which develops water additives to improve cooling for data centers and thermal storage.

With the addition of the three new members, the incubator currently supports nine early-stage companies.

Houston companies advance 200MW green ammonia plant in South Texas

coming soon

Two global companies with a major presence in Houston are teaming up on a green ammonia plant in Port of Victoria, Texas.

Topsoe, a Danish company with operations in Houston and Bayport, Texas, has been tapped to provide ammonia synthesis technology for the project being developed by First Ammonia, a New York-based company with offices in Houston and Denmark.

The flagship 200-megawatt plant will use renewable electricity to produce green hydrogen through electrolysis, which will then be combined with nitrogen from a nearby Air Liquide pipeline to make green ammonia, according to First Ammonia. It is expected to serve both U.S. and global markets.

According to First Ammonia, every 100,000 tons of electric ammonia produced avoids approximately 240,000 tons of CO2 emissions compared to fossil ammonia

The Topsoe technology used on site is designed to be able to increase production from 10 percent to 100 percent within 30 minutes, and decrease production at a similar rate, allowing the plant to respond to fluctuations from solar- or wind-based energy sources.

“Topsoe is the world leader in ammonia synthesis, and First Ammonia is delighted to continue our partnership with them in establishing a green ammonia industry in the US and around the world,” Joel Moser, CEO of First Ammonia, said in a news release.

Topsoe has previously signed on to supply its 100-megawatt solid oxide electrolyser (SOEC) to the First Ammonia project. However, the company announced in March that it did not extend the contract after multiple delays.

The First Ammonia project was originally expected to come online by 2027 and to produce 1.1 million tonnes of green ammonia. The project is now expected to reach financial before the end of 2026, with construction slated to begin in 2027 and commercial operations launching by 2029.

“As green ammonia projects move from ambition to execution, operational flexibility becomes increasingly important,” Yassir Ghiyati, chief commercial officer at Topsoe, added in a news release. “We’re proud to support First Ammonia with technology designed to enable efficient and reliable green ammonia production. We look forward to continuing to work with the First Ammonia team to help bring this important U.S project to life.”