Corporations can do more than just throw money at innovation efforts. Photo via Getty Images

I vividly remember, it was a typical Tuesday at Houston Exponential, and I’m sipping maybe my third coffee of the morning when the phone rings.

On the line is yet another hopeful voice from a newly minted innovation group at a "big company." They lay out their vision: “We’ve got this new innovation group! It’s me — a tech enthusiast who’s been yelling into the corporate void about needing to shake things up for the last two decades — plus a data scientist who loves numbers more than people, and a procurement guy who… well, procures stuff. And here’s the kicker: they’ve handed us $60 million to put to work. But here’s the catch — this treasure needs to be turned into a groundbreaking innovation that will dazzle the C-Suite, in about six months.”

I chuckle then sigh, because I’ve heard this story not once or twice, but about a dozen times over. And unfortunately, each of those grand plans crashed faster than a shooting star burning out over the Texas night sky — brilliant, swift, and leaving us wondering what might have been. Why? Well, let’s dig into some observations from my time working with institutional innovators from around the world and uncover just why throwing money at innovation like confetti at a wedding isn’t the quick fix big companies hope it will be.

The big miss here is a deep understanding of and ability to articulate the challenges. Innovation isn’t a highway where you can just press the gas and speed straight to Mt. Scale. It’s more like a winding country road with breathtaking views, unexpected potholes, and the occasional bewildered chicken crossing your path. For institutional innovators — the brave souls charting the course through this ever-changing landscape — the journey is filled with excitement, challenges, and the promise of discovery.

In my first hand experience mentoring over 500 startups and corporations, I’ve seen that the magic of innovation doesn’t come from a deep-pocketed budget but from a deep understanding of the problems we aim to solve. If you can view challenges through a kaleidoscope of perspectives, not just through the monochrome lens of one industry, you find the alternate routes that, while not exactly shortcuts, do keep you from turning down dark alleys and dead ends. A key observation here is that solutions to hard problems often lie in adjacent industries.

For example, consider how biomimicry has led to inventions like Velcro, inspired by burrs' ability to stick to animal fur, or how bullet trains in Japan were designed to mimic the kingfisher's beak for better aerodynamics. These are just a few examples of how solutions to complex problems often reside right in front of us or in the industry next door. Right here in Houston, Pumps & Pipes is a glowing example of how experts from Energy, Life Science and Space converge on similar problem sets with wildly different perspectives and applications.

Imagine if the engineers at NASA sat down for tacos with teachers from the local high school, or if doctors brainstormed with video game designers over a game of pickleball. Sounds fun, right? But it’s also where the magic happens. When we step out of our industry bubbles, we find that the solutions to our biggest problems often come from the most unexpected places.

So how do we begin to find these solutions? It all starts with a clear and clearly articulated challenge statement.

A crucial factor in encouraging organizations to look beyond traditional industry boundaries is to foster a deep understanding of problem-solution fit (you can read more about Problem - Solution fit in my last article here) and that means a deep understanding of the Problem. By guiding problem holders to dig deep into the nuances of the problems they aim to address, we expand their perspective. Once a comprehensive grasp of the problems are established, new pathways for solutions organically emerge. To do this you must broaden the collective thinking to the point where solutions from other industries become not just viable but often the most effective approach. My favorite quote on this subject is that “people don’t need a ¼ inch drill bit, they need a ¼ inch hole, and really they don’t need a ¼ hole, they need to hang a picture and when framed in that context, a command strip is more effective at solving the problem.”

So how do we do this? It’s easy, just continuously ask "why" or “why does this matter to your customer” to peel back the layers of the initial problem statements to reveal underlying causes or first principles. Ok this is actually much harder than it sounds but when organizations are guided through exercises to distill their challenges into first principles and more universal problem statements, a transformation occurs, resulting in several benefits:

  1. Expanding Solution Horizons: By elevating the problem discussion beyond industry-specific issues, the range of potential solutions widens remarkably.
  2. Universal Problem Statements: Restating the issues into more universal terms unlocks innovative approaches and solutions previously unseen.
  3. Enhanced Solution Fit and Success Probability: This reframing leads to solutions that are not only more fitting but also stand a higher chance of successfully being adopted and integrated and thus resolving the underlying issues.
  4. Increased Buy-In: These solutions are and are perceived as more novel and thus receive increased buy-in across the organization when moving towards adoption.

The critical lesson here is the power of abstracting the problem. By pulling back from the immediate and specific issues and reinterpreting them into broader, more universally applicable challenges, we can tap into a richer vein of solutions. This approach not only broadens the scope of potential innovations but also increases the alignment and effectiveness of the solutions we pursue.

The art of crafting challenge statements that are both broad enough to inspire innovative thinking and specific enough to be actionable is crucial. These statements serve as beacons, guiding both internal and external innovation efforts towards solutions that are not bound by conventional industry norms. By framing challenges in a way that invites diverse perspectives, organizations unlock innovative solutions that transcend traditional boundaries, fostering a more expansive and inclusive approach to problem-solving.

Turning lofty ambitions into tangible results begins with understanding that innovation isn’t just about flashy gadgets or the latest buzzwords. It’s about solving real problems for real people. This means rolling up our sleeves, listening intently, and sometimes realizing that the solution isn’t a high-tech wonder but perhaps something as simple and elegant as a command strip instead of a hole in the wall.

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Jon Nordby is managing partner at Anthropy Partners, a Houston-based investment firm, and professor of entrepreneurship at the University of Houston.

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Rice, Houston Methodist award $90K for cancer research projects

seed grants

Rice University’s Synthesis X Center, in partnership with the Houston Methodist Neal Cancer Center, announced earlier this month the organizations would award $90,000 in seed grant funding to two projects that could help fight cancer. One would ease the pain of chemotherapy, while the other could change the way the progression of leukemia is tracked.

“We’re excited to be collaborating with the Neal Cancer Center to support collaborative, novel and interdisciplinary proposals to improve cancer care and outcomes,” Han Xiao, Rice professor of chemistry and the director of the SynthX Center, said in a news release. “Together, we can achieve translational excellence.”

The projects

Chemotherapy is one of the most effective cancer treatments, but it can be hard on the body. The human body doesn’t like being injected with radioactive material, especially the skin around the injection point, which can become extremely irritated. For patients in long-term treatment, the skin irritation can be more than just a bother; it can lead to infections that are dangerous to a compromised immune system.

Angel A Marti, a professor of chemistry at Rice University, and Biana Godin, an associate professor of nanoscience at Houston Methodist Research Institute, are experimenting with metal nanoclusters as a way to block radiation at the injection site. The nanocluster could be applied in a cream or a gel on the skin, serving as a type of shield against the harsh radioactive material.

Meanwhile, Yuan Ma, an assistant professor of chemistry at Rice, and Shu-Hsia Chen, a professor of immunology at Houston Methodist Research Institute, are working with m6A. Discovered in the 1970s, m6A is the most prevalent chemical modifier found in mRNA in mammals. It is prevalent in many cancers, including leukemia.

Ma and Chen are working on measuring the amount of m6A in leukemia to see if it can determine the most effective cancer treatments. The team is also experimenting with ways to shut off m6A to see if it makes current leukemia treatments more effective.

Progress from SynthX

SynthX was first launched in April 2024 to turn research from Rice and Houston Methodist into real-world cancer treatments. Within a year, the center had secured $1.5 million in grant money to work on crossing the blood-brain barrier in brain cancer treatments. These latest awards show that SynthX Center continues to bridge the worlds of research and clinical practice.

“This collaboration reflects a shared commitment to team science in cancer research,” Daniela Matei, the director of the Houston Methodist Neal Cancer Center, added in the release. “These are the types of translational and pioneering projects that lead to transformation in patient care.”'

The SynthX Center awarded $90,000 in seed grants to three teams in 2025 and $80,000 to three teams in 2024.

Tesla self-driving mode wasn't to blame in Houston-area crash, report suggests

Tesla news

Federal safety investigators looking into a runaway Tesla that killed a grandmother in her home say the driver had pressed the accelerator to full speed, suggesting the vehicle's self-driving software was not to blame.

The driver had told police that he had the self-driving software turned on, but a report from the National Transportation Safety Board concluded that he had actually overridden that feature when he pushed hard on the pedal. Moments later the Tesla Model 3 raced down a residential street in Katy, Texas, at highway speeds, slammed into a brick home and killed a 76-year-old woman standing in the front room.

The crash last month drew national attention because Tesla CEO Elon Musk is seeking to reassure the public its self-driving feature is safe as he prepares to turn hundreds of thousands of Teslas already on the road into fully automatic vehicles and begin selling two-seated Cybercabs missing steering wheels and pedals.

The crash came two months after officials at a separate federal agency, the National Highway Traffic Safety Administration, announced it was elevating a 2024 investigation of the self-driving feature to new “engineering analysis” level, raising the possibility of a recall of 3.2 million Tesla vehicles.

That NHTSA probe was triggered by crashes where the self-driving feature failed to alert drivers to take control in fog and other poor visibility conditions.

The agency opened an investigation last year into 58 incidents in which Teslas reportedly violated traffic safety laws while using self-driving technology, leading to more than a dozen crashes and fires and nearly two dozen injuries.

Separate from the National Transportation Safety Board, NHTSA is also looking into the Tesla house crash in Texas, one of 46 “special crash” investigations of Tesla's self-driving or driver-assistance technology in the past decade, according to the agency’s records. In more than a dozen of those crashes, at least one person — a driver, passenger or pedestrian — was killed.

Tesla had originally called its driver assistance software Full Self-Driving, or FSD, but auto experts and regulators complained it was misleading because drivers must always keep their eyes on the road and be ready to take over at any time.

The company has since changed the name to Full Self-Driving (Supervised).

Video of the Katy, Texas, accident shows the Tesla traveling at more than 70 mph (112.65 kilometers per hour), jumping a curb then tearing across a lawn before crushing through a brick wall of a home. A woman standing feet away, Martha Avila, was found amid piles of crumbling plaster, split beams and bits of furniture and rushed to a hospital but died.

Sales of Tesla cars still haven't recovered fully from boycotts last year over Musk's political stands, but the stock is rising anyway as he has successfully shifted attention away from the sales figures. He says they matter less now that the company is on the cusp of major technological advances, such as turning Teslas into hands-free vehicles and having its Optimus robots take over for humans for tasks at home and work.

Tesla stock has risen 22% in the past year and is currently trading at 170 times expected annual earnings compared to 20 for the S&P 500.

For its second-quarter financial results, financial analysts surveyed by FactSet expect earnings per share will barely budge — 32 cents versus 33 cents a year earlier — continuing a sixth quarter streak of flat or falling profits.

London AI startup selects Houston for first U.S. office after $20M raise

welcome to houston

London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.