By harnessing the power of AI, Sibme will boost the effectiveness of instructional coaching and save teachers’ time as they receive data and feedback in real time on how they conduct their classroom lessons. Photo via Getty Images

Not many adages stand the test of time quite like this one: to be the best, learn from the best.

Sage advice, which is why Houston-based Sibme, the learning engagement platform designed by teachers, is introducing an all-new artificial intelligence tool to transform professional learning for teachers.

By harnessing the power of AI, Sibme will boost the effectiveness of instructional coaching and save teachers’ time as they receive data and feedback in real time on how they conduct their classroom lessons. This is accomplished by providing teachers with more opportunities for meaningful, in-depth conversations with their instructional coaches through automatically generated quantitative data on video and audio recordings of teachers’ classroom instruction.

“When David Wakefield founded the company in 2013, it was primarily based on something that was pretty difficult to do at the time, which was just being able to record and upload video in classrooms,” COO TJ Hoffman tells InnovationMap. “Sibme was the first mobile-first technology that made it possible to upload a video longer than an hour into the cloud. And that was sort of our original approach in the classrooms.

Wakefield and Hoffman were former teachers, with former working in Houston ISD, and the latter in Pasadena ISD.

"We recognized that a lot of the ways in which teachers are trained in traditional workshops, or trainings like modules online and stuff like that, weren't in any way improving our ability to do our jobs as teachers," Hoffman says. “And the thing that really did make it easy for us to grow as teachers was watching other teachers teach and being able to ask them questions and that sort of stuff.

"It's hard to do in schools because teachers are in classrooms with kids all day long," Hoffman continues. "There's no time for them to leave and go watch someone else do their job. So that idea of recording a video and annotating it with comments and asking feedback three minutes in, like ‘Hey, why did you ask that question of that student that way?’ That was something that we originally did, and that's been the primary driver of our growth over the last ten years.”

Efficient education for the educators

With the tagline, “making every moment a teachable moment,” Sibme has broken through as the go-to learning engagement platform for professional development, replete with coaching, cohort-based professional learning communities and peer-to-peer collaboration.

“The thing that we've recognized and have worked on for the last couple of years is, if I record and upload a 45-minute lesson and share it with the teacher next door or the principal at the school or somebody else, they've got to watch it for 45 minutes and that's time-consuming as well,” says Hoffman. “Our newest iteration, our AI tools, make it easier to identify key moments in a video that are related to things that a teacher can do better to reach kids more equitably and more effectively so that they're learning better.”

Not surprisingly, the creators of Sibme are excited about the AI component, which is able to watch the videos, transcribe them and identify key moments where the teacher asks important questions in those videos.

“Now with the AI tool, I can go straight to those moments and see which kids I have called on, what kinds of questions I have asked them, who responded and who hasn't, so it helps teachers develop better strategies for reaching kids.”

Practice makes progress, according to the Sibme platform, which embeds training and collaboration in every workday, engaging employees while building a stronger community of learners.

“Sibme builds off the same principle of athletes,” adds Wakefield. “I can watch a million Astros games, but I'm not going to be a better baseball player until I pick up a bat or pick up a glove and actually start playing and then get coaching on it, right? It's the same principle for training teachers. Teaching is a complex activity. I can't just show you how to teach or tell you how to teach and then you can do it.

“You've got to get up and teach, and then you've got to get really concrete feedback the same way that a great coach provides concrete feedback to a player. Hold the bat a little bit differently or, you know, lean on your left hip. Those real kind of small changes, it's the same thing with a teacher. You know, walk to the left side of the room. Being able to actually provide that feedback on the teacher's work rather than saying, here's how you should teach, which is what training typically does, right? Training is just theory, not actual practice. This is giving teachers an opportunity to rehearse and then get coached by a real coach, whether that coach is someone with a formal title of instructional coach or just the teacher next door.”

Making the network work

Sibme’s novel, yet simple approach to improving teachers via their peers has proven to be much more effective than the typical training methods of the past.

Currently, Sibme works with more than 1,000 innovative schools, districts, and institutions – including Houghton Mifflin Harcourt, ASCD, Scholastic, the University of Texas, and the Houston Independent School District.

“At this point, I believe we're in 40 states,” says Wakefield. “We're also in some international countries. We have some channel partners that have also helped distribute for us. We probably are in every state in the US in some form or another, in a white-labeled version or within our own Sibme platform. We're definitely one of the leaders in our space for this type of next-generation solutions for professional learning and training.”

And as schools nationwide try to battle with teacher retention, Sibme offers its own solution by giving teachers concrete evidence that they are growing and improving as educators. After all, Sibme is an acronym for “Seeing is Believing Me,” which means that teachers will likely stay onboard if they feel that they are succeeding.

“One of our principals said that they don't have a retention problem because they invest so much in teacher excellence,” says Wakefield. “And when teachers feel successful, then they don't leave. They had, I think it was like an 86 percent decline in teacher turnover in one year just from the teachers being able to look at themselves and see that they’re growing and getting better and improving. That has a huge impact on their feelings of success in their jobs.”

A bright future

With more than 10 years under its belt, Sibme hopes the next 10 will offer even more advancements in the professional development space.

“We're sort of in that first sort of initial iteration of our release with AI,” says Wakefield. “That's only going to improve where things will just become more and more automated. The platform is just going to be able to help them do their work much more efficiently in the future. And they can coach and support far more people than they ever could without AI. And the experts can come in and leverage the AI to be so much more effective at their jobs.

“We’ll continue preparing the next generation of teachers, as well as in university teacher prep programs, so that teachers are getting better prepared for the realities of the classroom by getting a lot more reflection and practice.”

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Houston wearable biosensing company closes $13M pre-IPO round

fresh funding

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations.

The round was led by Korea Investment Partners, Kyobo Life Insurance, Kyobo Securities, Kolon Investment and a co-general partner fund backed by SBI Investment and Samsung Securities, according to a news release.

Wellysis reports that the latest round brings its total capital raised to about $30 million. The company is working toward a Korea Securities Dealers Automated Quotations listing in Q4 2026 or Q1 2027.

Wellysis is known for its continuous ECG/EKG monitor with AI reporting. Its lightweight and waterproof S-Patch cardiac monitor is designed for extended testing periods of up to 14 days on a single battery charge.

The company says that the funding will go toward commercializing the next generation of the S-Patch, known as the S-Patch MX, which will be able to capture more than 30 biometric signals, including ECG, temperature and body composition.

Wellysis also reports that it will use the funding to expand its Houston-based operations, specifically in its commercial, clinical and customer success teams.

Additionally, the company plans to accelerate the product development of two other biometric products:

  • CardioAI, an AI-powered diagnostic software platform designed to support clinical interpretation, workflow efficiency and scalable cardiac analysis
  • BioArmour, a non-medical biometric monitoring solution for the sports, public safety and defense sectors

“This pre-IPO round validates both our technology and our readiness to scale globally,” Young Juhn, CEO of Wellysis, said in the release. “With FDA-cleared solutions, expanding U.S. operations, and a strong AI roadmap, Wellysis is positioned to redefine how cardiac data is captured, interpreted, and acted upon across healthcare systems worldwide.”

Wellysis was founded in 2019 as a spinoff of Samsung. Its S-Patch runs off of a Samsung Smart Health Processor. The company's U.S. subsidiary, Wellysis USA Inc., was established in Houston in 2023 and was a resident of JLABS@TMC.

Elon Musk vows to launch solar-powered data centers in space

To Outer Space

Elon Musk vowed this week to upend another industry just as he did with cars and rockets — and once again he's taking on long odds.

The world's richest man said he wants to put as many as a million satellites into orbit to form vast, solar-powered data centers in space — a move to allow expanded use of artificial intelligence and chatbots without triggering blackouts and sending utility bills soaring.

To finance that effort, Musk combined SpaceX with his AI business on Monday, February 2, and plans a big initial public offering of the combined company.

“Space-based AI is obviously the only way to scale,” Musk wrote on SpaceX’s website, adding about his solar ambitions, “It’s always sunny in space!”

But scientists and industry experts say even Musk — who outsmarted Detroit to turn Tesla into the world’s most valuable automaker — faces formidable technical, financial and environmental obstacles.

Feeling the heat

Capturing the sun’s energy from space to run chatbots and other AI tools would ease pressure on power grids and cut demand for sprawling computing warehouses that are consuming farms and forests and vast amounts of water to cool.

But space presents its own set of problems.

Data centers generate enormous heat. Space seems to offer a solution because it is cold. But it is also a vacuum, trapping heat inside objects in the same way that a Thermos keeps coffee hot using double walls with no air between them.

“An uncooled computer chip in space would overheat and melt much faster than one on Earth,” said Josep Jornet, a computer and electrical engineering professor at Northeastern University.

One fix is to build giant radiator panels that glow in infrared light to push the heat “out into the dark void,” says Jornet, noting that the technology has worked on a small scale, including on the International Space Station. But for Musk's data centers, he says, it would require an array of “massive, fragile structures that have never been built before.”

Floating debris

Then there is space junk.

A single malfunctioning satellite breaking down or losing orbit could trigger a cascade of collisions, potentially disrupting emergency communications, weather forecasting and other services.

Musk noted in a recent regulatory filing that he has had only one “low-velocity debris generating event" in seven years running Starlink, his satellite communications network. Starlink has operated about 10,000 satellites — but that's a fraction of the million or so he now plans to put in space.

“We could reach a tipping point where the chance of collision is going to be too great," said University at Buffalo's John Crassidis, a former NASA engineer. “And these objects are going fast -- 17,500 miles per hour. There could be very violent collisions."

No repair crews

Even without collisions, satellites fail, chips degrade, parts break.

Special GPU graphics chips used by AI companies, for instance, can become damaged and need to be replaced.

“On Earth, what you would do is send someone down to the data center," said Baiju Bhatt, CEO of Aetherflux, a space-based solar energy company. "You replace the server, you replace the GPU, you’d do some surgery on that thing and you’d slide it back in.”

But no such repair crew exists in orbit, and those GPUs in space could get damaged due to their exposure to high-energy particles from the sun.

Bhatt says one workaround is to overprovision the satellite with extra chips to replace the ones that fail. But that’s an expensive proposition given they are likely to cost tens of thousands of dollars each, and current Starlink satellites only have a lifespan of about five years.

Competition — and leverage

Musk is not alone trying to solve these problems.

A company in Redmond, Washington, called Starcloud, launched a satellite in November carrying a single Nvidia-made AI computer chip to test out how it would fare in space. Google is exploring orbital data centers in a venture it calls Project Suncatcher. And Jeff Bezos’ Blue Origin announced plans in January for a constellation of more than 5,000 satellites to start launching late next year, though its focus has been more on communications than AI.

Still, Musk has an edge: He's got rockets.

Starcloud had to use one of his Falcon rockets to put its chip in space last year. Aetherflux plans to send a set of chips it calls a Galactic Brain to space on a SpaceX rocket later this year. And Google may also need to turn to Musk to get its first two planned prototype satellites off the ground by early next year.

Pierre Lionnet, a research director at the trade association Eurospace, says Musk routinely charges rivals far more than he charges himself —- as much as $20,000 per kilo of payload versus $2,000 internally.

He said Musk’s announcements this week signal that he plans to use that advantage to win this new space race.

“When he says we are going to put these data centers in space, it’s a way of telling the others we will keep these low launch costs for myself,” said Lionnet. “It’s a kind of powerplay.”

Johnson Space Center and UT partner to expand research, workforce development

onward and upward

NASA’s Johnson Space Center in Houston has forged a partnership with the University of Texas System to expand collaboration on research, workforce development and education that supports space exploration and national security.

“It’s an exciting time for the UT System and NASA to come together in new ways because Texas is at the epicenter of America’s space future. It’s an area where America is dominant, and we are committed as a university system to maintaining and growing that dominance,” Dr. John Zerwas, chancellor of the UT System, said in a news release.

Vanessa Wyche, director of Johnson Space Center, added that the partnership with the UT System “will enable us to meet our nation’s exploration goals and advance the future of space exploration.”

The news release noted that UT Health Houston and the UT Medical Branch in Galveston already collaborate with NASA. The UT Medical Branch’s aerospace medicine residency program and UT Health Houston’s space medicine program train NASA astronauts.

“We’re living through a unique moment where aerospace innovation, national security, economic transformation, and scientific discovery are converging like never before in Texas," Zerwas said. “UT institutions are uniquely positioned to partner with NASA in building a stronger and safer Texas.”

Zerwas became chancellor of the UT System in 2025. He joined the system in 2019 as executive vice chancellor for health affairs. Zerwas represented northwestern Ford Bend County in the Texas House from 2007 to 2019.

In 1996, he co-founded a Houston-area medical practice that became part of US Anesthesia Partners in 2012. He remained active in the practice until joining the UT System. Zerwas was chief medical officer of the Memorial Hermann Hospital System from 2003 to 2008 and was its chief physician integration officer until 2009.

Zerwas, a 1973 graduate of the Houston area’s Bellaire High School, is an alumnus of the University of Houston and Baylor College of Medicine.