Aatonomy sees autonomous vehicles as inefficient and unsafe. That's why the Houston startup is doing something differently. Sean Pavone/Getty Images

When there isn't a global pandemic, nearly 7 million people drive around Houston, and an estimated 77,000 people commute for more than an hour and a half to work. Drivers spend $1,376 and waste 31 gallons of fuel a year — to sit in traffic for what adds up to 75 hours each year.

When Wilson Pulling moved to the city two summers ago, he set out to fix all that traffic-sitting using autonomously driven cars, but not the high-priced ones that Uber and Tesla have designed. These are your regular, three- or four-year-old Honda Civics and Kia Sorentos — the cars you already own.

In 2016, Pulling founded had Aatonomy with his partner, Yang Hu, based on their thesis work from Cornell's Computer Science program. Moving the company south after two years operating out of San Francisco, they aimed not to build the self-driving car of the future, but to make the cars that Houstonians are wading through congested freeways in today drive themselves.

"Everyone doesn't get to buy a Tesla. They're driving their Corollas," Pulling says. "The way autonomy is going right now, that person is never going to benefit. We are the only way."

The company's technology attaches a wireless receiver to the car, which has to be from at least 2016 to work with them. Then, Aatonomy places sensors all along the roads and streetlights. The sensors and receiver communicate with each other, and enable autonomous driving.

Imagine, Pulling says, a 30-mile of I-45 with Aatonomy's sensors. You'd roar up the freeway, handling the controls. Then, the car's computer, under guidance from Aatonomy's network of sensors, would take over. You'd sit back, the car will navigate the traffic along with the other cars — and if all the cars are autonomous, Pulling says, the algorithm could slash congestion. When your car exits the freeway, you'd take back control.

That stretch of freeway would cost $26 million for 200,000 commuters across Houston, Pulling says, but other self-driving cars cost around $250,000 per vehicle — summing up to $50 billion for those same commuters. And Pulling says the Aatonomy system is a safer bet than the way Uber's autonomous driving. Uber's car once killed a pedestrian because, somehow, the company didn't program it to avoid people jaywalking. But because Aatonomy will manage sensors all over the street, the company will be able to monitor potential accidents more quickly than an Uber car would.

"This is a really radically different approach to a technology that, frankly, a lot of people have lost a lot of faith in," Pulling says.

Aatonomy's approach requires a smart city commitment — but the city of Houston is already buying in. First, Aatonomy, a member of the Ion Smart and Resilient Cities accelerator's inaugural cohort, got a short-term project with Aatonomy and Verizon to mount intersection cameras for studying how to prevent collisions with pedestrians on the Northside.

Additionally, the city has also greenlit a two-year pilot with Aatonomy to automate a bus route in downtown Houston. The aim, Pulling says, is making a "proof-of-concept" before rolling out sensors across I-45 — but it's also to use Houston as proof that autonomous driving can be achieved, but from a different angle than Uber.

"Self driving cars don't work. That's our thesis," Pulling says. "That's why we're building self-driving cities."

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MD Anderson makes AI partnership to advance precision oncology

AI Oncology

Few experts will disagree that data-driven medicine is one of the most certain ways forward for our health. However, actually adopting it comes at a steep curve. But what if using the technology were democratized?

This is the question that SOPHiA GENETICS has been seeking to answer since 2011 with its universal AI platform, SOPHiA DDM. The cloud-native system analyzes and interprets complex health care data across technologies and institutions, allowing hospitals and clinicians to gain clinically actionable insights faster and at scale.

The University of Texas MD Anderson Cancer Center has just announced its official collaboration with SOPHiA GENETICS to accelerate breakthroughs in precision oncology. Together, they are developing a novel sequencing oncology test, as well as creating several programs targeted at the research and development of additional technology.

That technology will allow the hospital to develop new ways to chart the growth and changes of tumors in real time, pick the best clinical trials and medications for patients and make genomic testing more reliable. Shashikant Kulkarni, deputy division head for Molecular Pathology, and Dr. J. Bryan, assistant professor, will lead the collaboration on MD Anderson’s end.

“Cancer research has evolved rapidly, and we have more health data available than ever before. Our collaboration with SOPHiA GENETICS reflects how our lab is evolving and integrating advanced analytics and AI to better interpret complex molecular information,” Dr. Donna Hansel, division head of Pathology and Laboratory Medicine at MD Anderson, said in a press release. “This collaboration will expand our ability to translate high-dimensional data into insights that can meaningfully advance research and precision oncology.”

SOPHiA GENETICS is based in Switzerland and France, and has its U.S. offices in Boston.

“This collaboration with MD Anderson amplifies our shared ambition to push the boundaries of what is possible in cancer research,” Dr. Philippe Menu, chief product officer and chief medical officer at SOPHiA GENETICS, added in the release. “With SOPHiA DDM as a unifying analytical layer, we are enabling new discoveries, accelerating breakthroughs in precision oncology and, most importantly, enabling patients around the globe to benefit from these innovations by bringing leading technologies to all geographies quickly and at scale.”

Houston company plans lunar mission to test clean energy resource

lunar power

Houston-based natural resource and lunar development company Black Moon Energy Corporation (BMEC) announced that it is planning a robotic mission to the surface of the moon within the next five years.

The company has engaged NASA’s Jet Propulsion Laboratory (JPL) and Caltech to carry out the mission’s robotic systems, scientific instrumentation, data acquisition and mission operations. Black Moon will lead mission management, resource-assessment strategy and large-scale operations planning.

The goal of the year-long expedition will be to gather data and perform operations to determine the feasibility of a lunar Helium-3 supply chain. Helium-3 is abundant on the surface of the moon, but extremely rare on Earth. BMEC believes it could be a solution to the world's accelerating energy challenges.

Helium-3 fusion releases 4 million times more energy than the combustion of fossil fuels and four times more energy than traditional nuclear fission in a “clean” manner with no primary radioactive products or environmental issues, according to BMEC. Additionally, the company estimates that there is enough lunar Helium-3 to power humanity for thousands of years.

"By combining Black Moon's expertise in resource development with JPL and Caltech's renowned scientific and engineering capabilities, we are building the knowledge base required to power a new era of clean, abundant, and affordable energy for the entire planet," David Warden, CEO of BMEC, said in a news release.

The company says that information gathered from the planned lunar mission will support potential applications in fusion power generation, national security systems, quantum computing, radiation detection, medical imaging and cryogenic technologies.

Black Moon Energy was founded in 2022 by David Warden, Leroy Chiao, Peter Jones and Dan Warden. Chiao served as a NASA astronaut for 15 years. The other founders have held positions at Rice University, Schlumberger, BP and other major energy space organizations.

Houston co. makes breakthrough in clean carbon fiber manufacturing

Future of Fiber

Houston-based Mars Materials has made a breakthrough in turning stored carbon dioxide into everyday products.

In partnership with the Textile Innovation Engine of North Carolina and North Carolina State University, Mars Materials turned its CO2-derived product into a high-quality raw material for producing carbon fiber, according to a news release. According to the company, the product works "exactly like" the traditional chemical used to create carbon fiber that is derived from oil and coal.

Testing showed the end product met the high standards required for high-performance carbon fiber. Carbon fiber finds its way into aircraft, missile components, drones, racecars, golf clubs, snowboards, bridges, X-ray equipment, prosthetics, wind turbine blades and more.

The successful test “keeps a promise we made to our investors and the industry,” Aaron Fitzgerald, co-founder and CEO of Mars Materials, said in the release. “We proved we can make carbon fiber from the air without losing any quality.”

“Just as we did with our water-soluble polymers, getting it right on the first try allows us to move faster,” Fitzgerald adds. “We can now focus on scaling up production to accelerate bringing manufacturing of this critical material back to the U.S.”

Mars Materials, founded in 2019, converts captured carbon into resources, such as carbon fiber and wastewater treatment chemicals. Investors include Untapped Capital, Prithvi Ventures, Climate Capital Collective, Overlap Holdings, BlackTech Capital, Jonathan Azoff, Nate Salpeter and Brian Andrés Helmick.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.