By taking a thoughtful approach to employees’ individual situations, fleet managers can design a take-home EV program that fits their drivers’ needs and benefits the company’s bottom line in the long run. Photo via Getty Images

As electric vehicles continue to rise in popularity among corporate fleets, the question of how to best accommodate charging needs for fleet drivers, especially those taking their vehicles home, is becoming increasingly important.

Charging EV fleet vehicles at home can be an excellent strategy to save employees time and cut operational costs. However, many companies hesitate in their take-home EV implementation, mistakenly believing that high-cost level 2 home chargers are a necessity. This misconception can stall the transition to an efficient, cost-effective fleet charging solution.

By taking a thoughtful approach to employees’ individual situations, fleet managers can design a take-home EV program that fits their drivers’ needs and benefits the company’s bottom line in the long run. Here are some essential points to consider:

The viability of level 1 charging for low-mileage drivers

For many fleet drivers, especially those covering less than 10,000 miles annually, the standard level 1 charger that plugs into a 120v (standard) wall outlet and comes with their EV is perfectly adequate. This solution involves no additional hardware costs, mitigates issues when employees leave the company, and reduces corporate liability concerns. The primary advantage of relying on level 1 charging is its simplicity and cost-effectiveness, as it requires no extra investment in charging infrastructure. By leveraging the charging cable provided with the vehicle, companies can minimize their financial outlay while still supporting their employees' charging needs effectively.

Opting for non-networked level 2 chargers for high-mileage drivers

For higher mileage drivers with faster charging needs, a non-networked level 2 charger represents a compelling option. In this scenario, the employee pays for the unit and the installation and is then reimbursed by the company. This approach has several benefits:

  • Tax Rebates and Incentives. Employees may qualify for various tax writeoffs and incentives that are not available to companies, making the installation of a level 2 charger more affordable.
  • Ownership and Choice. Employees select and own the charging port, choose the contractor and pay for installation, which limits corporate liability and cuts costs.
  • Home Value Enhancement. Installing a level 2 charger can increase the value of the employee's home, providing them with an additional benefit and easy access to charging.
  • Accurate Reimbursement Still Possible. Modern electric vehicles record charging data, eliminating the need to get this information from a smart charger. Software like ReimburseEV can connect the dots and calculate accurate usage, costs and reimbursement.

This approach offers a cost-effective, lower-liability solution that benefits both the company and the employee, making it an attractive option for higher-mileage drivers.

The drawbacks of company-owned and networked chargers

Installing company-owned chargers, especially networked ones, is arguably the least favorable option for several reasons:

  1. Increased costs and liability: The installation and maintenance of networked chargers significantly increases costs. Moreover, owning the charging infrastructure introduces liability concerns, especially regarding data security.
  2. Connectivity and compatibility Issues: Networked chargers can suffer from connectivity issues, leading to inaccurate charging data and other operating and compliance problems.
  3. Risk of fraud: Many smart chargers do not know which vehicle is plugged in. Thus, they also risk being used by non-fleet vehicles, further complicating cost and energy management.
  4. Brand lock-in: A number of networked chargers are tied to specific OEM brands, limiting the flexibility in vehicle selection and potentially locking the company into a less dynamic fleet vehicle mix.

The drawbacks associated with company-owned and networked chargers underline the importance of evaluating charging needs carefully and opting for solutions that offer flexibility, reduce liability, and control costs.

Decision tree for fleet managers

Fleet managers should consider a decision tree approach to determine the most suitable charging solution for their needs. This decision-making process involves assessing the annual mileage of fleet drivers, access to charging, the benefits of tax incentives, and considering the long-term implications of charger ownership and ongoing liabilities. By adopting a thoughtful, structured approach to at-home charging decision-making, fleet managers can identify the most cost-effective and efficient charging solutions that align with their company's operational goals, culture, and drivers' needs.

Transitioning to an EV fleet and providing robust at-home charging solutions for your EV fleet drivers need not be a big operational bottleneck requiring huge investments in home charging infrastructure and installation costs. By understanding the specific operational demands of your EV fleet vehicles and the unique circumstances of your EV fleet drivers, companies can implement effective, efficient at-home charging solutions that save time, reduce costs, and minimize liability, all while supporting employees' transition to electric mobility.

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David Lewis is the founder and CEO of MoveEV, an AI-powered EV transition company that helps organizations convert fleet and employee-owned gas vehicles to electric by accurately reimbursing for charging electric vehicles at home.

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CultureMap Emails are Awesome

How Planckton Data is building the sustainability label every industry will need

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There’s a reason “carbon footprint” became a buzzword. It sounds like something we should know. Something we should measure. Something that should be printed next to the calorie count on a label.

But unlike calories, a carbon footprint isn’t universal, standardized, or easy to calculate. In fact, for most companies—especially in energy and heavy industry—it’s still a black box.

That’s the problem Planckton Data is solving.

On this episode of the Energy Tech Startups Podcast, Planckton Data co-founders Robin Goswami and Sandeep Roy sit down to explain how they’re turning complex, inconsistent, and often incomplete emissions data into usable insight. Not for PR. Not for green washing. For real operational and regulatory decisions.

And they’re doing it in a way that turns sustainability from a compliance burden into a competitive advantage.

From calories to carbon: The label analogy that actually works

If you’ve ever picked up two snack bars and compared their calorie counts, you’ve made a decision based on transparency. Robin and Sandeep want that same kind of clarity for industrial products.

Whether it’s a shampoo bottle, a plastic feedstock, or a specialty chemical—there’s now consumer and regulatory pressure to know exactly how sustainable a product is. And to report it.

But that’s where the simplicity ends.

Because unlike food labels, carbon labels can’t be standardized across a single factory. They depend on where and how a product was made, what inputs were used, how far it traveled, and what method was used to calculate the data.

Even two otherwise identical chemicals—one sourced from a refinery in Texas and the other in Europe—can carry very different carbon footprints, depending on logistics, local emission factors, and energy sources.

Planckton’s solution is built to handle exactly this level of complexity.

AI that doesn’t just analyze

For most companies, supply chain emissions data is scattered, outdated, and full of gaps.

That’s where Planckton’s use of AI becomes transformative.

  • It standardizes data from multiple suppliers, geographies, and formats.
  • It uses probabilistic models to fill in the blanks when suppliers don’t provide details.
  • It applies industry-specific product category rules (PCRs) and aligns them with evolving global frameworks like ISO standards and GHG Protocol.
  • It helps companies model decarbonization pathways, not just calculate baselines.

This isn’t generative AI for show. It’s applied machine learning with a purpose: helping large industrial players move from reporting to real action.

And it’s not a side tool. For many of Planckton’s clients, it’s becoming the foundation of their sustainability strategy.

From boardrooms to smokestacks: Where the pressure is coming from

Planckton isn’t just chasing early adopters. They’re helping midstream and upstream industrial suppliers respond to pressure coming from two directions:

  1. Downstream consumer brands—especially in cosmetics, retail, and CPG—are demanding footprint data from every input supplier.
  2. Upstream regulations—especially in Europe—are introducing reporting requirements, carbon taxes, and supply chain disclosure laws.

The team gave a real-world example: a shampoo brand wants to differentiate based on lower emissions. That pressure flows up the value chain to the chemical suppliers. Who, in turn, must track data back to their own suppliers.

It’s a game of carbon traceability—and Planckton helps make it possible.

Why Planckton focused on chemicals first

With backgrounds at Infosys and McKinsey, Robin and Sandeep know how to navigate large-scale digital transformations. They also know that industry specificity matters—especially in sustainability.

So they chose to focus first on the chemicals sector—a space where:

  • Supply chains are complex and often opaque.
  • Product formulations are sensitive.
  • And pressure from cosmetics, packaging, and consumer brands is pushing for measurable, auditable impact data.

It’s a wedge into other verticals like energy, plastics, fertilizers, and industrial manufacturing—but one that’s already showing results.

Carbon accounting needs a financial system

What makes this conversation unique isn’t just the product. It’s the co-founders’ view of the ecosystem.

They see a world where sustainability reporting becomes as robust as financial reporting. Where every company knows its Scope 1, 2, and 3 emissions the way it knows revenue, gross margin, and EBITDA.

But that world doesn’t exist yet. The data infrastructure isn’t there. The standards are still in flux. And the tooling—until recently—was clunky, manual, and impossible to scale.

Planckton is building that infrastructure—starting with the industries that need it most.

Houston as a launchpad (not just a legacy hub)

Though Planckton has global ambitions, its roots in Houston matter.

The city’s legacy in energy and chemicals gives it a unique edge in understanding real-world industrial challenges. And the growing ecosystem around energy transition—investors, incubators, and founders—is helping companies like Planckton move fast.

“We thought we’d have to move to San Francisco,” Robin shares. “But the resources we needed were already here—just waiting to be activated.”

The future of sustainability is measurable—and monetizable

The takeaway from this episode is clear: measuring your carbon footprint isn’t just good PR—it’s increasingly tied to market access, regulatory approval, and bottom-line efficiency.

And the companies that embrace this shift now—using platforms like Planckton—won’t just stay compliant. They’ll gain a competitive edge.

Listen to the full conversation with Planckton Data on the Energy Tech Startups Podcast:

Hosted by Jason Ethier and Nada Ahmed, the Digital Wildcatters’ podcast, Energy Tech Startups, delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


Gold H2 harvests clean hydrogen from depleted California reservoirs in first field trial

breakthrough trial

Houston climatech company Gold H2 completed its first field trial that demonstrates subsurface bio-stimulated hydrogen production, which leverages microbiology and existing infrastructure to produce clean hydrogen.

Gold H2 is a spinoff of another Houston biotech company, Cemvita.

“When we compare our tech to the rest of the stack, I think we blow the competition out of the water," Prabhdeep Singh Sekhon, CEO of Gold H2 Sekhon previously told Energy Capital.

The project represented the first-of-its-kind application of Gold H2’s proprietary biotechnology, which generates hydrogen from depleted oil reservoirs, eliminating the need for new drilling, electrolysis or energy-intensive surface facilities. The Woodlands-based ChampionX LLC served as the oilfield services provider, and the trial was conducted in an oilfield in California’s San Joaquin Basin.

According to the company, Gold H2’s technology could yield up to 250 billion kilograms of low-carbon hydrogen, which is estimated to provide enough clean power to Los Angeles for over 50 years and avoid roughly 1 billion metric tons of CO2 equivalent.

“This field trial is tangible proof. We’ve taken a climate liability and turned it into a scalable, low-cost hydrogen solution,” Sekhon said in a news release. “It’s a new blueprint for decarbonization, built for speed, affordability, and global impact.”

Highlights of the trial include:

  • First-ever demonstration of biologically stimulated hydrogen generation at commercial field scale with unprecedented results of 40 percent H2 in the gas stream.
  • Demonstrated how end-of-life oilfield liabilities can be repurposed into hydrogen-producing assets.
  • The trial achieved 400,000 ppm of hydrogen in produced gases, which, according to the company,y is an “unprecedented concentration for a huff-and-puff style operation and a strong indicator of just how robust the process can perform under real-world conditions.”
  • The field trial marked readiness for commercial deployment with targeted hydrogen production costs below $0.50/kg.

“This breakthrough isn’t just a step forward, it’s a leap toward climate impact at scale,” Jillian Evanko, CEO and president at Chart Industries Inc., Gold H2 investor and advisor, added in the release. “By turning depleted oil fields into clean hydrogen generators, Gold H2 has provided a roadmap to produce low-cost, low-carbon energy using the very infrastructure that powered the last century. This changes the game for how the world can decarbonize heavy industry, power grids, and economies, faster and more affordably than we ever thought possible.”

Rice University spinout lands $500K NSF grant to boost chip sustainability

cooler computing

HEXAspec, a spinout from Rice University's Liu Idea Lab for Innovation and Entrepreneurship, was recently awarded a $500,000 National Science Foundation Partnership for Innovation grant.

The team says it will use the funding to continue enhancing semiconductor chips’ thermal conductivity to boost computing power. According to a release from Rice, HEXAspec has developed breakthrough inorganic fillers that allow graphic processing units (GPUs) to use less water and electricity and generate less heat.

The technology has major implications for the future of computing with AI sustainably.

“With the huge scale of investment in new computing infrastructure, the problem of managing the heat produced by these GPUs and semiconductors has grown exponentially. We’re excited to use this award to further our material to meet the needs of existing and emerging industry partners and unlock a new era of computing,” HEXAspec co-founder Tianshu Zhai said in the release.

HEXAspec was founded by Zhai and Chen-Yang Lin, who both participated in the Rice Innovation Fellows program. A third co-founder, Jing Zhang, also worked as a postdoctoral researcher and a research scientist at Rice, according to HEXAspec's website.

The HEXASpec team won the Liu Idea Lab for Innovation and Entrepreneurship's H. Albert Napier Rice Launch Challenge in 2024. More recently, it also won this year's Energy Venture Day and Pitch Competition during CERAWeek in the TEX-E student track, taking home $25,000.

"The grant from the NSF is a game-changer, accelerating the path to market for this transformative technology," Kyle Judah, executive director of Lilie, added in the release.

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This article originally ran on InnovationMap.