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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Greentown Labs combines forces with MassChallenge to support more climate startups

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Climatetech incubator Greentown Labs has formed a strategic partnership with global zero-equity accelerator MassChallenge.

The two organizations have headquarters in the Boston area, while Greentown Labs is also co-located in Houston. MassChallenge has a hub in Dallas, as well as others in Israel, Switzerland and the United Kingdom.

The new partnership aims to strengthen the ecosystem for early-stage climatetech startups by providing more mentorship, support and a broader commercialization network for members, according to a news release.

Greentown Labs will share its expertise with the 23 startups in MassChallenge's first climate-specific accelerator, known as the MassChallenge Early Stage Climate program. Additionally, Greentown Labs members will benefit from MassChallenge's network of expert mentors, judges, entrepreneurs, partners, investors, philanthropists and others.

“There are so many synergies and shared values between MassChallenge and Greentown that launching a collaboration like this feels like a natural next step for our organizations as we strive to support as many early-stage climate founders as possible,” Georgina Campbell Flatter, Greentown Labs CEO, said in the news release. “We want to reduce the friction and barriers to market for these climate entrepreneurs and ultimately increase their opportunity for success—ecosystem collaboration is an essential part of solving these challenges together.”

Combined, Greentown and MassChallenge report that they have supported more than 4,500 founders and more than 1,000 climate startups. MassChallenge has awarded more than $18 million in equity-free grants to startups, which have gone on to raise over $15 billion, since it was founded in 2009. Greentown Labs has helped more than 575 startups raise more than $8.2 billion in funding since it launched in 2011.

Greentown recently added five startups to its Houston community and 14 other climatetech ventures to its Boston incubator. It also announced its third ACCEL cohort, which works to advance BIPOC-led startups in the climatetech space, earlier this year. Read more here.

Houston cleantech accelerator names 12 startups to 2025 cohort

early-stage accelerator

The Rice Alliance Clean Energy Accelerator has named 12 early-stage startups to its latest cohort.

The hybrid program, which operates in a hybrid capacity based out of the Ion, runs for 10 weeks and provides energy transition startups with training focused on fundraising, pilots, partnerships and sale. It begins July 8 and will be led by executive director Kerri Smith and program director Matthew Peña with support from executives-in-residence Lynn Frostman, John Jeffers, David Horsup and Dev Motiram.

The accelerator will culminate with a demo day on Sept. 18 at the Rice Alliance Energy Tech Venture Forum during the Houston Energy and Climate Startup Week.

Members of this year's cohort come from the Houston area as well as across the U.S. and Canada.

Class 5 for the Rice Alliance Clean Energy Accelerator includes:

  • Aqua-Cell Energy, which builds industrial-scale overnight batteries to provide affordable solar power
  • Arculus, a company that provides multilayer internal coating for pipelines that lowers friction, extends pipeline life and enables carbon dioxide transport and hydrogen blending
  • AtmoSpark, a Houston-based sustainable cooling and freshwater company that provides an electric field-driven air separation system that reduces dehumidification energy costs for data centers and industrial facilities
  • AtoMe, which delivers durable metallic composites to energy and aerospace companies using an eco-friendly dry blade method that eliminates harmful chemicals
  • ConceptLoop, a company that converts plastic waste into eco-friendly, low-carbon aggregate
  • Fathom Storage, which provides a more solidly embedded and steel-efficient anchoring solution for offshore service providers, wind energy developers and research institutes
  • GeoKiln, a Houston-based company that addresses issues of subsurface hydrogen extraction by applying proven oil and gas techniques to accelerate natural hydrogen reactions, enabling hydrogen production
  • Innowind Energy Solutions, a company that provides nonintrusive, active flow control devices to boost energy production and extend turbine lifespan
  • Lukera Energy, which transforms waste methane into high-value methanol using a breakthrough nanobubble technology
  • Metal Light Inc., which has developed a scalable, cost-effective Metal-Air generator to replace diesel generators
  • Moonshot Hydrogen, a company that converts food and agricultural waste into clean hydrogen and bioethanol
  • Resollant, a Woodlands-based company that delivers compact, zero-emission hydrogen and carbon reactors to refineries, petrochemical plants, steel and cement manufacturers and fuel producers

The Rice Alliance Clean Energy Accelerator has supported 55 ventures since it was founded in 2021, collectively raising over $250 million in funding, according to the university. See last year's cohort here.