Houston-based Topl has raised over $700,000 in its seed round. Getty Images

Kim Raath is pretty proud of her company right about now. Not only is she proud that her startup, Topl, a blockchain network with applications across industries, closed a 20 percent oversubscribed $700,000 seed round, but because she did it in a way that was directly in line with her company's values.

"Every investor that is invested now has focused on both the purpose and the profit, and I'm big on that," Raath, president and co-founder of Topl, says.

Houston-based Topl was created by a few Rice University graduates and doctoral students — Raath, Chief Technology Officer James Aman, and CEO Chris Georgen. The founders wanted to create a way to track impact in various industries, such as carbon footprints in oil and gas or fair wages for farmers in agriculture.

The team has built six blockchain platforms that operate on the Topl network — two are live now, and four will go live later this year. The platforms are focused on four different areas: agriculture (tracking food products from the farm to the shelves), mining (diamonds, for instance), sustainability and impact (tracking a program to see how it succeeds), and carbon credits and renewables within the energy industry.

"It's a validation time for us," Raath tells InnovationMap. "With two platforms already live and collecting transaction fees, we are now at a point where there are actual blockchain transactions happening on our network."

The fact that Topl's technology is already up and running is rare. For this reason, Raath says she has to focus a lot on educating investors, clients, and the rest of the community — something that's really important to her.

"In the blockchain space, there are not a lot of real applications live anywhere," Raath says. "A lot of people are selling ideas that can be built on blockchains, but have not executed yet."

Topl partnered with European NGO Fairfood to create an agricultural blockchain platform that currently is live. Shoppers in the Netherlands can buy a pack of nutmeg and track the product's progress from the farmer who grew and sold the spice. The other already launched platform is focused on sustainability. Topl worked with the Texas Coastal Exchange to create a carbon credit marketplace that can sell carbon offsets generated through the natural carbon sequestration activities of land the organization holds along the Texas coast.

"For us this round is taking these four spaces and validating ourselves, proving out volume, the blockchain's ability, and then, the big thing is, to build out our next version of our blockchain," Raath says.

Raath says the fundraising round was different from what she expected, but she's excited about her investors. Seventy percent of the round was raised by Houstonians, and 40 percent of the investors were women, she says. Topl also had investor interest across industries and backgrounds — from Rice University professors to former banking execs.

The round doesn't technically have a lead investor, but Samantha Lewis, director at the GOOSE Society of Texas, led a syndicate of investors that made up more than 40 percent of Topl's round. Lewis says the round was too early stage for something GOOSE investors would typically contribute to, but she believes in the company so much that she worked nights and weekends to accomplish some of the things a lead investor would do during a raise.

"Since this was their first big round that they raised, I stepped in to help advise them — thinking about the terms, strategic investors, how to pitch to different people, if they needed to oversubscribe, and little details like that," Lewis says. "Through working with them in this way, I was doing diligence with them, and I got really excited about it."

Lewis, who volunteers a lot within the Rice network, met Raath through Georgen and the two hit it off. Lewis was then able to bring in investors from her network to contribute under her syndicate.

This passionate group of value-add investors who are personally committed to the company is what makes this seed round different for Raath. Their commitment is encouraging to her.

"I 100 percent believe that the investors in this round will not allow Topl to fail," Raath says.

With the money, Topl will be able to grow its platforms, provide better product features, and increase marketing efforts. Topl's customers are drawn to the technology because of the business efficiency the blockchain adds to their supply chain, but they are also excited about how having this technology differentiates them from their competition. Raath says she's interested in growing Topl's ability to do joint marketing campaigns with their customers.

This type of promotion leads to a growing clientbase, and Raath says she sees an overwhelming interest from potential clients. Not only is Topl creating a series of platforms in various industries, but the company itself is connecting other companies through their clients.

"Topl is not just a technology," Raath says, "it's an ecosystem."

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”