How Corrolytics is tackling industrial corrosion and cutting emissions

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Anwar Sadek of Corralytics. Courtesy photo

Corrosion is not something most people think about, but for Houston's industrial backbone pipelines, refineries, chemical plants, and water infrastructure, it is a silent and costly threat. Replacing damaged steel and overusing chemicals adds hundreds of millions of tons of carbon emissions every year. Despite the scale of the problem, corrosion detection has barely changed in decades.

In a recent episode of the Energy Tech Startups Podcast, Anwar Sadek, founder and CEO of Corrolytics, explained why the traditional approach is not working and how his team is delivering real-time visibility into one of the most overlooked challenges in the energy transition.

From Lab Insight to Industrial Breakthrough

Anwar began as a researcher studying how metals degrade and how microbes accelerate corrosion. He quickly noticed a major gap. Companies could detect the presence of microorganisms, but they could not tell whether those microbes were actually causing corrosion or how quickly the damage was happening. Most tests required shipping samples to a lab and waiting months for results, long after conditions inside the asset had changed.

That gap inspired Corrolytics' breakthrough. The company developed a portable, real-time electrochemical test that measures microbial corrosion activity directly from fluid samples. No invasive probes. No complex lab work. Just the immediate data operators can act on.

“It is like switching from film to digital photography,” Anwar says. “What used to take months now takes a couple of hours.”

Why Corrosion Matters in Houston's Energy Transition

Houston's energy transition is a blend of innovation and practicality. While the world builds new low-carbon systems, the region still depends on existing industrial infrastructure. Keeping those assets safe, efficient, and emission-conscious is essential.

This is where Corrolytics fits in. Every leak prevented, every pipeline protected, and every unnecessary gallon of biocide avoided reduces emissions and improves operational safety. The company is already seeing interest across oil and gas, petrochemicals, water and wastewater treatment, HVAC, industrial cooling, and biofuels. If fluids move through metal, microbial corrosion can occur, and Corrolytics can detect it.

Because microbes evolve quickly, slow testing methods simply cannot keep up. “By the time a company gets lab results, the environment has changed completely,” Anwar explains. “You cannot manage what you cannot measure.”

A Scientist Steps Into the CEO Role

Anwar did not plan to become a CEO. But through the National Science Foundation's ICorps program, he interviewed more than 300 industry stakeholders. Over 95 percent cited microbial corrosion as a major issue with no effective tool to address it. That validation pushed him to transform his research into a product.

Since then, Corrolytics has moved from prototype to real-world pilots in Brazil and Houston, with early partners already using the technology and some preparing to invest. Along the way, Anwar learned to lead teams, speak the language of industry, and guide the company through challenges. “When things go wrong, and they do, it is the CEO's job to steady the team,” he says.

Why Houston

Relocating to Houston accelerated everything. Customers, partners, advisors, and manufacturing talent are all here. For industrial and energy tech startups, Houston offers an ecosystem built for scale.

What's Next

Corrolytics is preparing for broader pilots, commercial partnerships, and team growth as it continues its fundraising efforts. For anyone focused on asset integrity, emissions reduction, or industrial innovation, this is a company to watch.

Listen to the full conversation with Anwar Sadek on the Energy Tech Startups Podcast to learn more:

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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 case for smarter CUI inspections in the energy sector

Guest Column

Corrosion under insulation (CUI) accounts for roughly 60% of pipeline leaks in the U.S. oil and gas sector. Yet many operators still rely on outdated inspection methods that are slow, risky, and economically unsustainable.

This year, widespread budget cuts and layoffs across the sector are forcing refineries to do more with less. Efficiency is no longer a goal; it’s a mandate. The challenge: how to maintain safety and reliability without overextending resources?

Fortunately, a new generation of technologies is gaining traction in the oil and gas industry, offering operators faster, safer, and more cost-effective ways to identify and mitigate CUI.

Hidden cost of corrosion

Corrosion is a pervasive threat, with CUI posing the greatest risk to refinery operations. Insulation conceals damage until it becomes severe, making detection difficult and ultimately leading to failure. NACE International estimates the annual cost of corrosion in the U.S. at $276 billion.

Compounding the issue is aging infrastructure: roughly half of the nation’s 2.6 million miles of pipeline are over 50 years old. Aging infrastructure increases the urgency and the cost of inspections.

So, the question is: Are we at a breaking point or an inflection point? The answer depends largely on how quickly the industry can move beyond inspection methods that no longer match today's operational or economic realities.

Legacy methods such as insulation stripping, scaffolding, and manual NDT are slow, hazardous, and offer incomplete coverage. With maintenance budgets tightening, these methods are no longer viable.

Why traditional inspection falls short

Without question, what worked 50 years ago no longer works today. Traditional inspection methods are slow, siloed, and dangerously incomplete.

Insulation removal:

Disruptive and expensive.
Labor-intensive and time-consuming, with a high risk of process upsets and insulation damage.
Limited coverage. Often targets a small percentage of piping, leaving large areas unchecked.
Health risks: Exposes workers to hazardous materials such as asbestos or fiberglass.

Rope access and scaffolding:

Safety hazards. Falls from height remain a leading cause of injury.
Restricted time and access. Weather, fatigue, and complex layouts limit coverage and effectiveness.
High coordination costs. Multiple contractors, complex scheduling, and oversight, which require continuous monitoring, documentation, and compliance assurance across vendors and protocols drive up costs.

Spot checks:

Low detection probability. Random sampling often fails to detect localized corrosion.
Data gaps. Paper records and inconsistent methods hinder lifecycle asset planning.
Reactive, not proactive: Problems are often discovered late after damage has already occurred.

A smarter way forward

While traditional NDT methods for CUI like Pulsed Eddy Current (PEC) and Real-Time Radiography (RTR) remain valuable, the addition of robotic systems, sensors, and AI are transforming CUI inspection.

Robotic systems, sensors, and AI are reshaping how CUI inspections are conducted, reducing reliance on manual labor and enabling broader, data-rich asset visibility for better planning and decision-making.

ARIX Technologies, for example, introduced pipe-climbing robotic systems capable of full-coverage inspections of insulated pipes without the need for insulation removal. Venus, ARIX’s pipe-climbing robot, delivers full 360° CUI data across both vertical and horizontal pipe circuits — without magnets, scaffolding, or insulation removal. It captures high-resolution visuals and Pulsed Eddy Current (PEC) data simultaneously, allowing operators to review inspection video and analyze corrosion insights in one integrated workflow. This streamlines data collection, speeds up analysis, and keeps personnel out of hazardous zones — making inspections faster, safer, and far more actionable.

These integrated technology platforms are driving measurable gains:

Autonomous grid scanning: Delivers structured, repeatable coverage across pipe surfaces for greater inspection consistency.
Integrated inspection portal: Combines PEC, RTR, and video into a unified 3D visualization, streamlining analysis across inspection teams.
Actionable insights: Enables more confident planning and risk forecasting through digital, shareable data—not siloed or static.

Real-world results

Petromax Refining adopted ARIX’s robotic inspection systems to modernize its CUI inspections, and its results were substantial and measurable:

Inspection time dropped from nine months to 39 days.
Costs were cut by 63% compared to traditional methods.
Scaffolding was minimized 99%, reducing hazardous risks and labor demands.
Data accuracy improved, supporting more innovative maintenance planning.

Why the time is now

Energy operators face mounting pressure from all sides: aging infrastructure, constrained budgets, rising safety risks, and growing ESG expectations.

In the U.S., downstream operators are increasingly piloting drone and crawler solutions to automate inspection rounds in refineries, tank farms, and pipelines. Over 92% of oil and gas companies report that they are investing in AI or robotic technologies or have plans to invest soon to modernize operations.

The tools are here. The data is here. Smarter inspection is no longer aspirational — it’s operational. The case has been made. Petromax and others are showing what’s possible. Smarter inspection is no longer a leap but a step forward.

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Tyler Flanagan is director of service & operations at Houston-based ARIX Technologies.

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Buoyed by $1.3B sales backlog, microgrid company ERock files for IPO

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Another energy company in Houston is going public amid a flurry of energy IPOs.

Houston-based ERock Inc., which specializes in utility-grade onsite microgrid systems for data centers and other customers, has filed paperwork with the U.S. Securities and Exchange Commission (SEC) to sell its shares on the New York Stock Exchange.

The ERock filing follows the recent $1.9 billion IPO of Houston-based Fervo Energy, a provider of geothermal power that’s now valued at $7.7 billion.

Another Houston energy company, EagleRock Land, just went public in a $320 million IPO that values the company at $3 billion. EagleRock owns or controls about 236,000 acres in the Permian Basin, earning money from royalties, fees, easements, water services and other revenue streams tied to drilling on its land.

According to Barron’s, more than a dozen energy and energy-related companies in the U.S. have gone public since the beginning of 2025, with the bulk of the IPOs happening this year.

ERock’s SEC filing doesn’t identify the per-share pricing range for the IPO or the number of Class A shares to be offered. ERock is a portfolio company of Energy Impact Partners, a New York City-based venture capital and private equity firm that invests in energy companies.

The company previously did business as Enchanted Rock. ERock Inc., formed in January, will function as a holding company that controls predecessor company ER Holdings Ltd.

In 2025, ERock generated revenue of $183.1 million, up 42.5 percent from the previous year, according to the IPO filing. It recorded a net loss of $59 million last year.

As of March 31, ERock boasted a sales backlog of nearly $1.3 billion, up 779 percent on a year-over-year basis. The company attributes most of that increase to greater demand from data centers.

The company primarily serves the power needs of data centers, utilities, industrial facilities, and commercial buildings. Its biggest markets are Texas and California.

“Several U.S. markets, such as Texas and California, face especially acute reliability risks,” ERock says in the SEC filing. “Texas already shows rapid load-growth pressures tied to data centers and industrial expansion, while California faces grid congestion, long interconnection queues, and above-average vulnerability to extreme heat- and weather-driven outages.”

Since its founding in 2018, ERock has installed microgrid systems at more than 400 sites with a capacity of about 1,000 megawatts. Customers include ComEd, Foxconn, H-E-B, Microsoft and Walmart.

By the end of this year, the company plans to expand its production of microgrid systems to a capacity of about 1.2 gigawatts with the opening of its Hyperion facility in Houston.

John Carrington leads ERock as CEO. He joined ER Holdings last year as chairman and CEO. Carrington previously was CEO of Houston-based Stem, a public company that offers AI-enabled clean energy software and services. Earlier, he spent 16 years at General Electric.

Houston investment firm closes $105M energy venture fund

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Houston-based investment firm Veriten has announced the initial close of its second flagship energy venture fund with more than $105 million in capital commitments.

Fund II will build on Veriten’s initial fund and aim to support “scalable technology solutions for energy, power and industrial applications,” according to a company news release.

"Our differentiated network, research-driven process, and first principles approach to investing are having an impact across multiple verticals including traditional energy, electrification, and industrial technology. Fund II builds on that platform,” John Sommers, partner, investments at Veriten, added in the release. “In this environment, the differentiator isn't capital – it's all about connectivity, deep sector expertise, and an economically-driven approach. As new technologies and approaches develop at breakneck speed, the need for more reliable, affordable energy and power continues to grow dramatically. The current backdrop accentuates the need for Veriten's solution."

Veriten is supported by over 50 strategic partnerships in the energy, power, industrial and technology sectors, including major players like Halliburton and Phillips 66.

"Veriten continues to build a differentiated platform at the intersection of energy, technology and industry expertise," Jeff Miller, chairman and CEO of Halliburton, said in the release. "We were early believers in the team and their ability to identify practical solutions to real challenges across the energy value chain. As all industries increasingly adopt digital tools, automation and AI-enabled technologies to improve performance and execution, we are proud to partner with Veriten again to help accelerate high-impact solutions across the broader energy landscape."

Veriten closed its debut fund, NexTen LP, of $85 million in committed capital in October 2023. It was launched in January 2022 by Maynard Holt, co-founder and former CEO of the energy investment bank Tudor, Pickering, Holt & Co.

It has invested in Houston-based AI-powered electricity analytics provider Amperon and led a $12 million Seed 2 funding round for Houston-based Helix Technologies to scale manufacturing of its energy-efficient commercial HVAC add-on earlier this year. In the past year it has contributed to funding rounds for San Francisco-based Armada and Calgary-based Veerum.

Veriten also named Nick Morriss as its new managing director earlier this month. Morriss most recently served as vice president of business development at next-generation nuclear technology company Natura Resources and spent nearly 20 years at NOV Inc.

Houston energy expert asks: Who pays when AI outruns the power grid?

Guets Column

For most of the past 20 years, U.S. electricity policy relied on predictable trends in demand. Electricity use, in most regions, increased gradually, forecasts were stable, and utilities adjusted the system in small steps. Power plants, transmission lines, and substations were generally added to reflect shifts in load, rather than growth, and costs were recovered through modest adjustments to customer bills.

Growth in AI data centers has disrupted this model. A single facility can add as much electricity demand as a small town. That demand comes all at once, runs continuously, and has little tolerance for outages. If electricity service drops even briefly, computation stops, and services shut down. Ironically, data centers need reliable service, a point that their emergence is driving concern around for the rest of the grid.

What the numbers say

The International Energy Agency projects global electricity consumption from data centers to double by 2030, reaching roughly 945 TWh, nearly 3 percent of global electricity demand, with consumption growing about 15 percent per year this decade. McKinsey projects that U.S. data center demand alone could grow 20–25 percent per year, with global capacity demand more than tripling by 2030.

After years of roughly 0.5 percent annual demand growth, many forecasts now place total U.S. electricity demand growth closer to 2–3 percent per year through the mid-2030s, with much higher growth in specific regions. In Texas, some forecasters are saying electricity demand could double over the next five years, a staggering 10 percent per year growth rate. What sounds incremental on paper translates into a major challenge on the ground. Meeting this pace of growth is estimated to require $250–$300 billion per year in grid investment, about double what the system has been absorbing.

Where the system starts to strain

The strain appears first in the interconnection queue. It shows up as long waits, backlogs, and delays for connecting new loads and new generation.

Before new generators or large load customers can be connected, a study is required to assess their impact on the grid, whether it can physically handle the added load, and whether upgrades are required. With AI-driven data centers, utilities face far more connection requests than they can realistically support. In ERCOT, large-load interconnection requests exceed 200 gigawatts, most tied to data centers. That amount exceeds historical norms, and it is several times larger than what can be practically studied or built in the near term.

To be clear, public utility commissions are required to study these requests because they must manage system capabilities to ensure minimal disruption. This means engineers spend time evaluating projects that may never be built, while other more commercially viable projects may wait longer for approvals. This extends timelines and makes infrastructure planning less reliable.

Why policymakers are rethinking the rules

Utilities and their regulators must decide how much generation, transmission, and substation capacity to build years before it comes online. Those decisions are based on expected demand at the time projects are approved. When it comes to data centers, by the time infrastructure is completed, they may end up deploying newer, more efficient chips that use less power than originally assumed. This can result in grid infrastructure built for a higher load than what actually materializes, leaving excess capacity that still must be paid for through system-wide rates.

That’s the central dilemma. If utilities build too little capacity, the system operates with less reserve margin. During periods of grid stress, operators have fewer options, increasing the likelihood of curtailments or outages. However, if utilities build too much, customers may be asked to pay for infrastructure that is not fully used.

In response, policymakers are adjusting the rules. In some regions, regulators are moving toward bring-your-own-power approaches that require large data centers to supply or fund part of the capacity needed to serve them or reduce demand during system stress. At the federal level, permitting reforms tied to datacenter infrastructure increasingly treat electricity as a strategic economic input.

As Ken Medlock, senior director at the Baker Institute Center for Energy Studies (CES), explains:

“Many of the planned data centers are now also adding behind-the-meter options to their development plans because they do not anticipate being able to manage their needs solely from the grid, and they certainly cannot do so with only intermittent power sources.”

Behind-the-meter (BTM) refers to power that a consumer controls on its side of the utility meter, such as on-site gas generation or a dedicated power plant. These resources allow data centers to keep operating during grid-related service. Most facilities remain connected to the grid, but the backup BTM generation serves as insurance for operating their core business.

This shifts responsibility. Utilities traditionally manage reliability across all customers by maintaining an operating reserve margin, or spare capacity. Increasingly, large-load customers manage part of their own electricity reliability needs, which changes how infrastructure is planned and how risk is distributed.

Bottom line

AI-driven load growth is arriving faster and in more concentrated places than the power system was built to accommodate. Utilities and regulators are being forced to make decisions sooner than planned about where to build, how fast to build, and which customers get priority when capacity is limited. The effects extend beyond data centers, showing up in system costs, reliability margins, competition for grid access, and pressure on communities and industries that depend on affordable and dependable power. The issue is not whether electricity can be generated, but how the costs and risks of rapid demand growth are distributed as the system tries to keep up. How regulators balance these decisions will determine who pays as AI demand outruns the power grid.

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Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally appeared on LinkedIn.

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