This week's roundup of Houston innovators includes Divyaditya Shrivastava of Paladin, Veronica Breckenridge of First Bight Ventures, Sunil Sheth of UTHealth Houston, plus around 50 Houston Innovation Awards finalists. Photos courtesy

Editor's note: Every week, I introduce you to a handful of Houston innovators to know recently making headlines with news of innovative technology, investment activity, and more. This week's batch includes a drone tech startup founder, biotech investor, and health care innovator.

Divyaditya Shrivastava, co-founder of Paladin

Paladin’s AI-enhanced autonomous drones help public safety agencies, such as police and fire departments, respond to 911 calls. Photo via LinkedIn

Houston-based Paladin, whose remotely controlled drones help first responders react quickly to emergencies, has collected $5.2 million in seed funding.

Gradient, a seed fund that backs AI-oriented startups, led the round. Also participating were Toyota Ventures, the early-stage VC arm of Japanese automaker Toyota; venture capital firm Khosla Ventures; and VC fund 1517. The company was co-founded by Divyaditya Shrivastava and Trevor Pennypacker.

Among the agencies that have tried out Paladin’s technology is the Houston area’s Memorial Villages Police Department. The department participated in a three-month Paladin pilot project in 2019. Read more.

Veronica Breckenridge (née Wu), founder of First Bight Ventures

Veronica Breckenridge, founder of First Bight VenturesInvestor advocates now is the time to position Houston as a leading biomanufacturing hub

Veronica Breckenridge is the founder of First Bight Ventures, which just celebrated three portfolio companies. Photo courtesy

Three portfolio companies of Houston venture capital firm First Bight Ventures have received a combined $5.25 million from the U.S. Defense Department’s Distributed Bioindustrial Manufacturing Program.

“The allocation of funds by the federal government will be critical in helping grow biomanufacturing capacity,” Veronica Breckenridge (née Wu), founder of First Bight, says in a news release. “We are very proud to represent three dynamic companies that are awardees of this competitive and widely praised program.” Read more.

Sunil Sheth, associate professor in the Department of Neurology at McGovern Medical School at UTHealth Houston

UTHealth Houston has secured millions in grant funding — plus has reached a new milestone for one of its projects. Photo via utsystem.edu

UTHealth recently received a grant that will improve the odds for patients who have had a stroke with the successful re-opening of a blocked vessel through endovascular surgery. The $2.5 million grant from the National Institute of Neurological Disorders and Stroke, part of the National Institutes of Health, will fund a five-year study that will include the creation of a machine-learning program that will be able to predict which stroke patients with large blood vessel blockages will benefit most from endovascular therapy.

The investigators will form a database of imaging and outcomes of patients whose blockages were successfully opened, called reperfusion, from three U.S. hospitals. This will allow them to identify clinical and imaging-based predictors of damage in the brain after reperfusion. From there, the deep-learning model will help clinicians to know which patients might go against the tenet that the sooner you treat a patient, the better.

“This is shaking our core of deciding who we treat, and when, and how, but also, how we are evaluating them? Our current methods of determining benefit with imaging are not good enough,” says principal investigator and associate professor in the Department of Neurology at McGovern Medical School at UTHealth Houston, Sunil Sheth. Read more.

Top innovators: 2024 Houston Innovation Awards finalists revealed

Here's what Houston startups and innovators will be honored at the Houston Innovation Awards on November 14. Graphic via Gow Media

After nearly 300 nominations, InnovationMap and its group of judges are ready to reveal the finalists for this year's Houston Innovation Awards.

Taking place on Thursday, November 14, the Houston Innovation Awards celebrates all of Houston's innovation ecosystem — startups, entrepreneurs, investors, mentors, and more. Over 50 finalists will be recognized in particular for their achievements across 13 categories, which includes the 2024 Trailblazer Legacy Awards that were announced earlier this month.

Click here to see the 2024 Houston Innovation Awards finalists.

Paladin’s AI-enhanced autonomous drones help public safety agencies, such as police and fire departments, respond to 911 calls. Photo via paladindrones.io

Houston startup designing emergency response drones lands $5.2M in seed funding

cha-ching

Houston-based Paladin, whose remotely controlled drones help first responders react quickly to emergencies, has collected $5.2 million in seed funding.

Gradient, a seed fund that backs AI-oriented startups, led the round. Also participating were Toyota Ventures, the early-stage VC arm of Japanese automaker Toyota; venture capital firm Khosla Ventures; and VC fund 1517.

“We believe Paladin will drive meaningful change in public safety and redefine how communities are served,” Gradient said in an announcement about the seed round.

In 2019, Paladin received $1.3 million in seed funding from Khosla Ventures and Gmail creator Paul Buchheit, a group partner at Y Combinator. In 2018, the year it was co-founded by Divyaditya Shrivastava and Trevor Pennypacker, Paladin graduated from Y Combinator’s three-month boot camp.

Paladin’s AI-enhanced autonomous drones help public safety agencies, such as police and fire departments, respond to 911 calls. These drones provide aerial views of emergency scenes in an effort to decrease response times, improve “situational awareness,” and save lives, according to a Gradient blog post.

Among the agencies that have tried out Paladin’s technology is the Houston area’s Memorial Villages Police Department. The department participated in a three-month Paladin pilot project in 2019.

"(This is) one of the first departments in the country to be testing this technology," Shrivastava told InnovationMap in 2019. "We're very limited in the area that we cover, and that's just because we're taking baby steps and going as carefully and deliberately as possible."

Gradient says more than 12,000 drone missions have been performed using Paladin’s hardware and software platform. Agencies that have adopted the platform report average response times under 90 seconds. Furthermore, the technology has allowed them to resolve nearly one-third of 911 calls without dispatching first responders.

“Paladin keeps innovating, recently launching Payload Drop, a groundbreaking feature that enables drones to deliver lifesaving equipment — such as Narcan, life vests, and AEDs — directly to emergency scenes,” says Gradient.

On its website, Paladin says it envisions autonomous drones responding to every 911 call in the U.S. by 2027.

“The information is paramount, the technology exists and is rapidly improving, and the need is there. We want to help,” Paladin proclaims.

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Rice, Houston Methodist developing soft 'sleep cap' for brain health research

Researchers and scientists at Rice University and Houston Methodist are developing a “sleep cap” that aims to protect the brain against dementia and other similar diseases by measuring and improving deep sleep.

The project is a collaboration between Rice University engineering professors Daniel Preston, Vanessa Sanchez and Behnaam Aazhang; and Houston Methodist neurologist Dr. Timea Hodics and Dr. Gavin Britz, director of the Houston Methodist Neurological Institute and chairman of the Department of Neurosurgery.

According to Rice, deep sleep is essential for clearing waste products from the brain and nightly “cleaning cycles” help remove toxic proteins. These toxic proteins, like amyloids, can accumulate during the day and are linked to Alzheimer’s disease and other neurological issues.

Aazhang, director of the Rice Neuroengineering Initiative, and his team are building a system that not only tracks the brain’s clearing process but can also stimulate it, improving natural mechanisms that protect against neurodegeneration.

Earlier proof-of-concept versions of the caps successfully demonstrated the promise of this approach; however, they were rigid and uncomfortable for sleep.

Preston and Sanchez will work to transform the design of the cap into a soft, lightweight, textile-based version to make sleep easier, while also allowing the caps to be customizable and tailored for each patient.

“One of the areas of expertise we have here at Rice is designing wearable devices from soft and flexible materials,” Preston, an assistant professor of mechanical engineering, said in a news release. “We’ve already shown this concept works in rigid device prototypes. Now we’re building a soft, breathable cap that people can comfortably wear while they sleep.”

Additionally, the research team is pursuing ways to adapt their technology to measure neuroinflammation and stimulate the brain’s natural plasticity. Neuroinflammation, or swelling in the brain, can be caused by injury, stroke, disease or lifestyle factors and is increasingly recognized as a driver of neurodegeneration, according to Rice.

“Our brain has an incredible ability to rewire itself,” Aazhang added in the release. “If we can harness that through technology, we can open new doors for treating not just dementia but also traumatic brain injury, stroke, Parkinson’s disease and more.”

The project represents Rice’s broader commitment to brain health research and its support for the Dementia Prevention Research Institute of Texas (DPRIT), which passed voter approval last week. The university also recently launched its Rice Brain Institute.

As part of the project, Houston Methodist will provide access to clinicians and patients for early trials, which include studies on patients who have suffered traumatic brain injury and stroke.

“We have entered an era in neuroscience that will result in transformational cures in diseases of the brain and spinal cord,” Britz said in the release. “DPRIT could make Texas the hub of these discoveries.”

Autonomous truck company with Houston routes goes public

on a roll

Kodiak Robotics, a provider of AI-powered autonomous vehicle technology, has gone public through a SPAC merger and has rebranded as Kodiak AI. The company operates trucking routes to and from Houston, which has served as a launchpad for the business.

Privately held Kodiak, founded in 2018, merged with a special purpose acquisition company — publicly held Ares Acquisition Corp. II — to form Kodiak AI, whose stock now trades on the Nasdaq market.

In September, Mountain View, California-based Kodiak and New York City-based Ares disclosed a $145 million PIPE (private investment in public equity) investment from institutional investors to support the business combo. Since announcing the SPAC deal, more than $220 million has been raised for the new Kodiak.

“We believe these additional investments underscore our investors’ confidence in the value proposition of Kodiak’s safe and commercially deployed autonomous technology,” Don Burnette, founder and CEO of Kodiak, said in a news release.

“We look forward to leading the advancement of the commercial trucking and public sector industries,” he added, “and delivering on the exciting value creation opportunities ahead to the benefit of customers and shareholders.”

Last December, Kodiak debuted a facility near George Bush Intercontinental/Houston Airport for loading and loading driverless trucks. Transportation and logistics company Ryder operates the “truckport” for Ryder.

The facility serves freight routes to and from Houston, Dallas and Oklahoma City. Kodiak’s trucks currently operate with or without drivers. Kodiak’s inaugural route launched in 2024 between Houston and Dallas.

One of the companies using Kodiak’s technology is Austin-based Atlas Energy Solutions, which owns and operates four driverless trucks equipped with Kodiak’s driver-as-a-service technology. The trucks pick up fracking sand from Atlas’ Dune Express, a 42-mile conveyor system that carries sand from Atlas’ mine to sites near customers’ oil wells in the Permian Basin.

Altogether, Atlas has ordered 100 trucks that will run on Kodiak’s autonomous technology in an effort to automate Atlas’ supply chain.

Rice University scientists invent new algorithm to fight Alzheimer's

A Seismic Breakthrough

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice, alongside Boston University, developed a computational algorithm called “Single-cell Expression Integration System for Mapping Genetically Implicated Cell Types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia — a memory-loss disease — specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our SEISMIC algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

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This article originally appeared on CultureMap.com.