Calling all sports tech startups ready to scale. Photo via Getty Images

Familiar names within Houston innovation have teamed up to launch a program for sports tech startups ready to scale.

Pokatok Labs announced five companies that make up its inaugural cohort. Pokatok is founded by Lawson Gow, founder of The Cannon; Chris Buckner, founder of Mainline; and Alex Gras, former chief commercial officer of The Cannon. (Note: Lawson Gow is the son of David Gow, the CEO of InnovationMap's parent company, Gow Media.)

The new program is targeting growing seed and series A startups across the scope of sports technology — health tech, gaming, fan experience, and more. The nine-week program is free to its cohort member and will run twice a year. Participating companies receive access to a network of organizations, advisors, investors, and subject matter experts within sports tech.

“Houston has a huge potential to emerge as a global leader in sports innovation, and the launch of this program is an important step in that direction,” says Gow, who serves as Pokatok's CEO.

The program will be housed in The Cannon Sports in 53West, which opened last year. Kate Evinger, who previously oversaw gBETA Houston's early stage accelerator, will lead Pokatok Labs as director.

“Each of the five companies are true disruptors within the global sports community. It is a privilege and an honor to be working alongside them, and we look forward to the great things to come from each '' Evinger says.

The first cohort of startups includes:

  • Detroit, Michigan-based Miro AI builds cutting-edge computer vision that analyzes images and videos to unlock athlete data. The technology has analyzed over 50 million athletes.
  • Monarc, headquartered in Dallas, has created a robotic quarterback called the Seeker. Several universities — like West Virginia University, Louisiana State University, and Washington University — have already tapped into the technology, as well as NFL professionals, including George Kittle, James White and Adrian Amos.
  • RE Cooling Tech, based in Lafayette, Louisiana, has a technology that cools and increases the performance of athletes before, during, and after physical exertion. The technology was validated in a study with The Korey Stringer Institute at the University of Connecticut showing efficacy in cooling and increased athletic performance.
  • Founded at MIT, Perch uses computer vision and machine learning to seamlessly track exercise, provide real time feedback, facilitate new types of competitions, and store the data for later analysis and progress tracking. The company has sold to more than 10 NFL teams, supporting two national championship college football teams, as well as a growing number of professional sports teams, colleges, military, high schools, performance facilities, and even individual home gyms.
  • Pennsylvania-based Reflexion is a portable neuro training service that gives athletes an edge with interactive lightboard based drills. Reflexion has raised over $4 million in venture funding to date, is used by thousands of athletes in homes and training centers, and is trusted by the likes of Under Armour, the Canadian National Soccer Team, and the Denver Nuggets.
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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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