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Podcast: How AI-powered detection can prevent workplace accidents before they happen

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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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Through Dsider’s techno-economic analysis platform, Sujatha Kumar is helping startups bridge the critical gap between vision and execution, ensuring they can navigate complex markets with confidence. Photo via LinkedIn

Podcast: How this Houston energy tech startup transforms innovation into scalable success

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What if the future of clean energy wasn’t just about invention, but execution? For Sujatha Kumar, CEO of Dsider, success in clean tech hinges on more than groundbreaking technology—it’s about empowering founders with the tools to make their innovations viable, scalable, and economically sound.

Through Dsider’s techno-economic analysis (TEA) platform, Kumar is helping startups bridge the critical gap between vision and execution, ensuring they can navigate complex markets with confidence.

In a recent episode of the Energy Tech Startups Podcast, Kumar shared her insights on the growing importance of TEA in the hard tech space. While clean energy innovation promises transformative solutions, the challenge lies in proving both technical feasibility and economic sustainability. Kumar argues that many early-stage founders, especially in fields like carbon capture, microgrids, and renewable energy, lack the necessary financial tools to assess market fit and long-term profitability—a gap Dsider aims to fill.

What Makes Dsider Unique?

Dsider offers more than just financial modeling—it creates actionable insights, tailored to the demands of the clean energy sector. At its core, the platform integrates TEA with operational planning, equipping founders with the ability to run scenario analyses, optimize pricing strategies, and anticipate market challenges. “It’s not just about building a product—it’s about understanding how to make that product thrive in a dynamic, ever-evolving market,” Kumar explained.

In industries where data is limited and stakes are high, startups often struggle to translate early pilots into scalable solutions. Kumar emphasized how Dsider’s approach helps founders forecast regulatory shifts, project downtime risks, and identify key economic drivers—turning complex calculations into a clear strategic roadmap. This foresight enables startups to align with customer expectations and investor requirements from the outset, a step that is often overlooked in early development stages.

Why TEA is Critical for Founders

“Clean tech innovation is hard,” Kumar emphasized, “because there is no historical data to guide decisions.” Startups often operate in unfamiliar territory, where understanding market fit and pricing models is essential. Through TEA, founders can build a financial narrative, simulate real-world conditions, and show investors or customers how their solutions will perform.

Jason, an experienced founder, echoed this sentiment, reflecting on his own mistakes:

"I wish I’d done a TEA earlier—during my first pilot, we didn’t budget for enough support, and it cost us a key customer."

The takeaway? Even at the pilot stage, TEA is invaluable. As Kumar noted, failing early pilots can prevent startups from scaling—making upfront analysis essential for success.

Beyond Technology: Bridging Gaps Between Founders, Investors, and Customers

Kumar highlighted the need to align founders, investors, and customers through a shared understanding of value. TEA enables this by allowing founders to communicate in the same language as their stakeholders—from efficiency gains to regulatory compliance. Dsider's platform provides tools for scenario modeling, allowing startups to optimize for both technology performance and economic outcomes.

One challenge, she noted, is that many founders are scientists without financial backgrounds. “Our goal is to simplify that complexity, so founders can focus on their technology while we take care of the analysis,” Kumar explained. Dsider helps startups anticipate questions from investors, simulate risks, and optimize business models from the start.

A New Way to Sell: Using TEA as a Business Development Tool

Kumar described how TEA can be more than a financial tool—it can become a business development asset. Founders can use Dsider to create customized reports for potential customers, demonstrating the specific value their technology brings. With interactive models and scenario analysis, startups can quickly respond to customer needs and build trust through transparency.

Future Growth

Looking ahead, Dsider aims to scale its operations and expand its impact by continuing to support early-stage founders with affordable, high-impact tools. With growing regulatory support for clean tech and an increasing demand for sustainable solutions, Dsider is positioned to become a key player in the energy tech startup ecosystem.

By bridging the gap between innovation and economics, Dsider is helping founders navigate complex challenges and build businesses that are both profitable and impactful—setting a strong foundation for future growth in the climate tech space.

Listen to the full episode with Sujatha Kumar on the Energy Tech Startups Podcast here.

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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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Houston researchers propose model to scale e-waste recycling

critical research

The “missing link” in critical minerals may have been in our junk drawers all along, according to new research from the University of Houston.

Jian Shi, an associate professor in the UH Cullen College of Engineering, and his team have unveiled a new supply chain model that aims to make e-waste economically viable and could help make large-scale recycling possible.

Shi, along with professor Kailai Wang and graduate researcher Chuyue Wang, published the work in a recent issue of Nature. Their study outlines how gold, lithium and cobalt from discarded electronics can be kept circulating in the U.S. through the process of “urban mining.” It was supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) through the Vehicle Technologies Office.

The team’s research found that e-waste is the fastest-growing solid waste stream in the world. When waste from smartphones or tablets is left unmanaged, the devices can leak hazardous waste and pose significant fire risks due to aging batteries. Additionally, when they are shipped off to foreign landfills, the U.S. loses the potential to recycle or reuse the critical minerals left inside.

“A lot of people have iPads or old iPhones sitting in their drawers right now, and that’s a waste of a critical resource,” Shi said in a news release. “Urban mining allows us to extract the same high-value materials found in traditional mines without the environmental destruction. More importantly, it helps secure our domestic supply chain for the technologies of tomorrow.”

According to UH, recycling e-waste has not succeeded in the U.S. due to a fragmented recycling system, in which manufacturers, collectors and recyclers operate separately, driving up costs.

The UH team's research looks to change that.

In the study, the researchers modeled streamlined recycling efforts by mapping the interactions between manufacturers and independent recycling markets. Their dual-channel closed-loop supply chain (CLSC) model identified how these players can transition from competitors to partners, which can distribute profits more equitably and make recycling efforts more financially attractive.

According to UH, the research has particular significance due to the growing demand for electronic vehicles and their batteries.

“We can improve the performance of the entire recycling ecosystem and make the profit distribution more balanced,” Wang said in the release. “This ensures that the materials we need for EVs and advanced electronics stay right here in the U.S.”

“By making recycling work at scale, we aren’t just cleaning up waste,” Shi added. “We’re building a foundation that benefits both our national security and our economy.”

1PointFive signs latest deal, shares update on $1.3B carbon removal project

DAC deal

Houston-based 1PointFive, a subsidiary of Occidental Petroleum Corp., has secured another buyer of carbon dioxide removal credits for its $1.3 billion STRATOS project as it moves toward operation.

Bain & Company, a Boston-based consulting firm, has agreed to purchase 9,000 metric tons of carbon dioxide removal (CDR) credits from the direct air capture (DAC) facility over three years, according to a news release. DAC technology pulls CO2 from the air at any location, not just where carbon dioxide is emitted.

The deal is Bain's first purchase of DAC removal credits. The company has developed a program that helps clients purchase carbon credits from a range of carbon-removal technologies.

"We are proud to partner with 1PointFive and add them to our portfolio of engineered carbon removal technologies," Sam Israelit, Bain’s chief sustainability officer, said in the news release. "Their track record for developing DAC technology, coupled with their deep understanding of what it takes to deliver large-scale infrastructure projects, uniquely positions them to be a leader in this emerging segment.”

“We believe this agreement demonstrates continued momentum for the solution while supporting the development of vital domestic infrastructure,” Anthony Cottone, president and general manager of 1PointFive, added in the release.

Bain joins others like Microsoft, Amazon, AT&T, Airbus, the Houston Astros and the Houston Texans that have agreed to buy CDR credits from STRATOS.

The Texas-based STRATOS project is being developed through a joint venture with investment manager BlackRock and is designed to capture up to 500,000 metric tons of CO2 per year. The U.S Environmental Protection Agency approved Class VI permits for the project last year.

1PointFive says STRATOS is "progressing through start-up activities." The company shared in a LinkedIn post that Phase 1 of the project is expected to go online in Q2, with Phase 2 ramping up through the remainder of 2026.

Houston researcher develops efficient method to cool AI data centers

cool findings

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

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