When you are aware of the red flags and scams, you are better prepared to not become a victim to their crimes. Photo via Getty Images

Attracting the best and the brightest employees is the goal of every startup and small business. Making these efforts more difficult, beyond the tight labor market in some industries, some employers are becoming the target of job scams — ones that seem unbelievable but occur include an unknown face showing up on the first day of work.

These scams occur because the candidate hired someone else to sit in for them during their video interview. Due to the remote nature of our work environment, some remote employees pay someone else to complete their job duties.

More sophisticated scammers can use deep-fake AI technology to mimic real people in interviews. Once the scammer is hired, they may steal data or install ransomware. AI technology continues to evolve, and so will scams. This is why it is crucial to know how to identify a scam and prepare to protect your business.

Watch for red flags

Fake-applicant scams, whether high- and low-tech, commonly target remote jobs. Most low-tech fake applicants are not trying to hack into your system. They are typically focused on making a good impression, even though they misrepresent their background and skills to get the job.

When recruiting, thorough background checks should identify scammers; however, you ideally want to identify the scam before it gets that far. The red flags to look for is a resume that is “perfect” for the job, exact verbiage of the job description, a LinkedIn profile with little information and error-filled emails. You do not want to assume the worst, but these tactics should be on your radar.

Know about deep-fake AI

Advanced technologies continue to improve making it harder to identify deep-fake AI candidates. Most people have seen footage of celebrities or politicians that seem real, but deep-fake technologies were used. There are many times the difference is imperceptible. This technology makes it even harder to tell the difference between a real or fake applicant. If you know what to look for, there are a few things to look out for, such as a candidate having a slight disconnect between their voice and their mouth movement. Syncing issues can happen to real people with poor Wi-Fi connections, but recruiters can address it with the candidate during the conversation, and it tends to correct itself.

Paying close attention to a candidate’s legal documents can help identify deep-fake AI candidates. When personal information does not align, you must determine if it was an honest mistake or something more sinister. When you require one in-person interview during the process, it helps verify the candidate’s identity. Real applicants will not have a problem with a face-to-face interview, where scammers will not agree to it and remove themselves from the process.

As deepfakes become more prevalent, there are new resources teaching people the difference between AI-generated images and reality like Northwestern University’s “Detect Fakes.”

Utilize background checks

Checking references and conducting background checks are an important step in finding the best candidate who fits your organization. These are crucial steps that should not be skipped. It is here where many business owners identify red flags that were not visible in prior interview stages. You become more prone to corrupt applicants when you do not look into a candidate’s work and education history.

Ask deeper interview questions

It is good practice to ask more open-ended questions during an interview but going beyond “yes” and “no” answers help spot scammers. Asking questions that require the candidate to tell a story about their experience helps you determine if the candidate is a real person. Employe the 80/20 rule – allowing the applicant to do 80 percent of the talking while the interviewer only speaks 20 percent of the time – is great interview technique for everyone, but crucial when trying to cull out a scammer.

With new technologies come new scams. There are many things business owners need to think about, and safeguarding your business from nefarious applicants should be high on the list when hiring. When you are aware of the red flags and scams, you are better prepared to not become a victim to their crimes.

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Jill Chapman is a director of early talent programs with Insperity, a leading provider of human resources and business performance solutions.

Biostate AI has emerged from stealth this week — with $4 million and a mission to design AI products to predict human and animal health changes. Photo via Getty Images

New health-focused generative AI company emerges from stealth with Houston office, $4M in funding

eyes on ai

A new scalable biodata foundry startup has emerged from stealth with $4 million in investment funding and two new health care artificial intelligence tools. The company is co-located in Houston and Palo Alto, California.

Biostate AI was co-founded by former Rice Professor David Zhang, who serves as the company's CEO, in 2023. With the launch, the company announced two service products: Total RNA sequencing and Copilot for RNAseq data analysis, Biostate reveals in a press release.

"The successful training of any AI well requires large quantities of relevant and high-quality data," Zhang says in the release. "Biostate AI has developed the instrumental technologies to facilitate the collection of more biological data at lower costs. We are pleased to offer these capabilities to academic and industry partners and collaborators."

The company has raised more than $4 million in venture funding. Matter Venture Partners led the initial round, with participation from Vision Plus Capital, Catapult VC, and the California Institute of Technology through the Caltech Seed Fund. Additional investors included Dario Amodei, CEO of Anthropic; Joris Poort, CEO of Rescale; Michael Schnall-Levin, CTO of 10X Genomics; and Emily Leproust, CEO of Twist Bioscience.

"AI is the next frontier and AI needs data, and biological data is a lot harder to get than text or images. We are excited about the potential for Biostate's technology to dramatically lower the cost of collecting RNAseq datasets," adds Haomiao Huang, founding partner at Matter Venture Partners, in the release. "As a US company, Biostate's affordable AI-embedded CRO services are much needed today as the supply of preclinical research services shrinks due to geopolitical tensions."

With an ultimate goal of designing AI products to predict human and animal health changes, Biostate AI is looking to partner with academic researchers, hospital biorepositories, and pharma and other biotech companies.

In addition to its two launched products, Biostate AI has filed nine pending patents on its technologies and is collaborating with Twist Bioscience and California Institute of Technology.

With its official launch, Biostate AI also debut OmicsWeb Copilot, a conversational AI that aids biologists in and visualizing data. Using large-language models, the platform provides access to over 1000 unique RNAseq datasets collected by the Biostate team.

"Bioinformatic analysis of RNAseq and other omics data is a highly complex, multi-step process that currently takes many hours of dedicated specialized programming," explains Ashwin Gopinath, co-founder and CTO of Biostate AI, in the release. "As we scaled up our RNAseq data collection in the past year, we started building OmicsWeb Copilot as an internal tool to help our scientists make sense of the data. And then we realized other people may also find this tool useful, so we're opening it up to the general public for free."

Biostate is asking those interested in collaboration to reach out at partnerships@biostate.ai.

The advent of AI pushes us humans to acquire new skills and hone our existing abilities so we can work alongside these evolving technologies in a collaborative fashion. Image via Getty Images

Why this Houston innovator isn't afraid of AI coming for her job

Guest Column

Over the past 10 years of my career, I have been afforded unique opportunities to work in many roles across the healthcare industry. This includes stints in HR, sales, marketing, and operational roles at a myriad of organizations including small start-up companies, hospital networks, and even my own single-member LLC.

The uncertainty of the job market is ever evolving with close to 200,000 tech workers being laid off last year alone. The rise of AI is changing the employment structure across all industries which is why I feel fortunate to have a plethora of experiences and skills to pull from.

There is mounting concern about AI taking away our jobs, but in reality, we have been living harmoniously with AI tools for quite some time (think – spell check or autocorrect on your text messages). In many instances, we appreciate the benefits that AI brings including automation of repetitive tasks, data entry, and increased efficiencies. Don’t get me wrong, AI is certainly being exploited in some use cases like deepfakes so it is essential to stay vigilant. Overall, I am optimistic about AI improving healthcare, an area where we are experiencing significant financial strains, an overburdened workforce, and clinician shortages.

The advent of AI pushes us humans to acquire new skills and hone our existing abilities so we can work alongside these evolving technologies in a collaborative fashion. AI augments human capabilities rather than replacing us. I believe it will help our society embrace lifelong learning, creating new industries and jobs that have never existed before. These are some reasons why I am not worried about AI eliminating my job in the near future:

AI does not have human skills

AI may be able to beat humans at intelligent tasks like chess, yet prowess such as communication, teamwork, leadership, and emotional intelligence are increasingly important and difficult to automate. According to LinkedIn, the most in-demand skills for professionals are all uniquely human abilities, working in tandem with AI to drive organizational success. In addition, many jobs require some level of creative thinking, making them less susceptible to automation.

AI is not a physical being

Even after living through a global pandemic where many jobs existed only virtually, there is no replacement to the physical being or human touch. Technology can fill a lot of gaps but sitting face to face with another human being is not one of them. In fact, Forbes reported that 90 percent of companies will return to the office in 2024. There will always be power in bringing people together, whether one-on-one meetings, team gatherings, or company wide events.

AI alone cannot implement change

Technology is only as powerful as the people who use it. Sometimes, the hardest part of innovation is not adopting new technology or implementing different protocols but simply getting people to change. Nonetheless, adaptability has proven time and time again to be one of the strongest human traits. Change takes time and trust, both of which AI cannot solve on its own.

While working on this article, I wanted to see what the AI expert thinks and asked “Should I be worried about AI taking away my job?” Here is what Chat GPT responded:

While there is potential for AI to automate certain jobs, it also creates opportunities for new roles and enhances productivity. The key to mitigating the risk is to stay informed, continuously learn, and adapt to new technologies. Emphasizing uniquely human skills and exploring how AI can be a tool rather than a replacement can help secure your place in the evolving job market.

I appreciate Chat GPT’s confidence that humans and AI can co-exist. The future is already here.

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Arielle Rogg is the principal and founder of Rogg Enterprises, a Houston-based company providing digital marketing for health care innovators.

Houston energy leader Barbara Burger joins the Houston Innovators Podcast to discuss the energy transition's biggest challenges and her key takeaways from CERAWeek. Photo courtesy

Houston energy innovation leader calls for collaboration to tackle the industry's biggest hurdles

Houston Innovators Podcast Episode 231

When Barbara Burger moved to Houston a little over a decade ago to lead Chevron Technology Ventures, she wondered why the corporate venture group didn't have much representation from the so-called energy capital of the world.

“I had no companies in my portfolio in CTV from Houston, and I wondered why,” Burger says on the Houston Innovators Podcast.

Much has changed in the ecosystem since then, she says, including growth and development to what the community looks like now.

“There are a few things I’m proud of in the ecosystem here, and one of theme is that it’s a very inclusive ecosystem,” she explains, adding that she means the types of founders — from universities or corporate roles — and the incumbent energy companies. “The worst way to get people to not join a party is to not invite them.”

“No one company or organization is going to solve this. We have to get along,” she continues. “We have to stop thinking that the mode is to compete with each other because the pie is so big and the opportunity is so big to work together — and by and large I do see that happening.”



Burger, who has since graduated from Chevron to act as an adviser, mentor, and philanthropist across her passions, also shares her insider perspective on CERAWeek by S&P Global — from the key topics discussed to who was there this year and, notably, who wasn't. One thing that stood out to here was the practicality problems that were on the agenda.

“We need an energy system that focuses on climate, the economy, security — a lot of this is just the block and tackling of engineering, policy, economics, and community engagement. I think it was a practical discussion,” she says.

Another huge topic was the amount of energy needed in the near future.

“Everybody has woken up and realized that our load growth — our demand — is growing, and because of all kinds of things pointing toward electrification. I think that the big one in the room was AI and the power demands for it,” she says.

In addition to finding the funding to grow these new technologies, scale is extremely important when it comes to making an impact on the energy transition.

“It’s not just about the innovation — it’s really about scaling that innovation and that execution, because that’s when we get impact, when these technologies are actually used in the energy system, and when we create new businesses,” she explains on the show. “It’s going to take investment, capabilities, a real understanding of the marketplace, and, in many cases, it’s going to take a relationship with the government.”

A team from the University of Houston received a grant to continue its work on using AI and digital twin technology to better evaluate bridges in Texas. Photo via uh.edu

Houston professor earned $500,000 grant to tap into digital twin tech for bridge safety

transportation innovation

A University of Houston professor has received a grant from the Texas Department of Transportation (TxDOT) to improve the efficiency and effectiveness of how bridges are inspected in the state.

The $505,286 grant will support the project of Vedhus Hoskere, assistant professor in the Civil and Environmental Engineering Department, over three years. The project, “Development of Digital Twins for Texas Bridges,” will look at how to use drones, cameras, sensors and AI to support Texas' bridge maintenance programs.

“To put this data in context, we create a 3D digital representation of these bridges, called digital twins,” Hoskere said in a statement. “Then, we use artificial intelligence methods to help us find and quantify problems to be concerned about. We’re particularly interested in any structural problems that we can identify - these digital twins help us monitor changes over time and keep a close eye on the bridge. The digital twins can be tremendously useful for the planning and management of our aging bridge infrastructure so that limited taxpayer resources are properly utilized.”

The project began in September and will continue through August 2026. Hoskere is joined on the project by Craig Glennie, the Hugh Roy and Lillie Cranz Cullen Distinguished Chair at Cullen College and director of the National Center for Airborne Laser Mapping, as the project’s co-principal investigator.

According to Hoskere, the project will have implications for Texas's 55,000 bridges (more than twice as many as any other state in the country), which need to be inspected every two years.

Outside of Texas, Hoskere says the project will have international impact on digital twin research. Hoskere chairs a sub-task group of the International Association for Bridge and Structural Engineering (IABSE).

“Our international efforts align closely with this project’s goals and the insights gained globally will enhance our work in Texas while our research at UH contributes to advancing bridge digitization worldwide,” he said. “We have been researching developing digital twins for inspections and management of various infrastructure assets over the past 8 years. This project provides us an opportunity to leverage our expertise to help TxDOT achieve their goals while also advancing the science and practice of better developing these digital twins.”

Last year another UH team earned a $750,000 grant from the National Science Foundation for a practical, Texas-focused project that uses AI. The team was backed by the NSF's Convergence Accelerator for its project to help food-insecure Texans and eliminate inefficiencies within the food charity system.

UH Professor Vedhus Hoskere received a three-year, $505,286 grant from TxDOT for a bridge digitization project. Photo via uh.edu

Houston-based Allganize, founded by Changsu Lee, is taking its $35 million in investment funding and changing the game of AI on a global scale. Photo via Getty Images

How this Houston innovator plans on revolutionizing AI on a global scale

eyes on AI

It’s taken people some time, but most of society is finally doing a collective 180-degree flip on its once guarded view of artificial intelligence in favor of being open to the idea that it can help humankind in a myriad of positive ways.

That’s why Houston-based software development company Allganize recently secured $20 million in series B funding to propel its industry-leading AI answer bot, Alli.

The All-in-One LLM Enabler Platform, which intelligently responds to customers through natural chat conversation flows, while also enabling the automation of up to 80 percent of support tickets, allows customers to get serviced faster while improving employee productivity.

With the latest $20 million investment by InterVest and Murex Partners, that brings the total funding into Allganize to $35 million. That investor confidence will ultimately help catapult the company’s AI solutions to the next level and help target its planned Japanese Stock Exchange listing by 2025.

“We will lead the expansion of corporate-specific LLM app markets and accelerate the distribution of enterprise automation AI in USA, Korea, and Japan,” says Changsu Lee, CEO of Allganize. “We are dedicated to empowering companies to develop custom LLM applications, enabling practical tasks execution and work automation.”

From programmer to prototype

Allganize’s plans to go public in 2025 stems from Lee’s early ties to Japan. While Lee is originally from Korea, he got his start in Japan, where he was able to secure his first job as a programmer at a gaming company and years later the first investment for the first company he started, ABLAR.

“I'm originally from Korea and when I got a scholarship from the Japanese government, and I went to the research laboratory of Tokyo Institute of Technology, I was not able to speak Japanese at all,” Lee tells InnovationMap. “But that one year actually changed my life. I could speak Japanese while I was there, and I was able to learn a lot of Japanese cultures, and there in the social system, I became a big fan of Japan, and then after that, so I was really looking for an opportunity to do business with Japan, or in Japan.

“I was originally trying to start a company in Japan, and I started to work as a programmer in a gaming company, and at night time, and also the weekends, I was actually building a product to start a company," he continues. "So back then, that product name was ‘Search for You.’ It was every single person's search history, the trees, then if we can find somebody else who's already advanced, but pretty similar search tree, then I was thinking, we can probably, give better suggestions or the recommendations. This is future knowledge that you could probably expect to learn, and if we can have a million users, then we can leverage, those search histories from Google."

Changsu Lee is the CEO of Allganize. Photo via LinkedIn

From there, Lee built the prototype, while making the bulk of his decisions from Japan. Later, while back in Korea, he expanded his business into Japan and met the biggest VC of Japan at an event in Korea and gave a quick pitch of his company’s service. Ultimately, he got the funding and hired Allganize co-founder Yasuo Sato, who he’s been working with for more than 11 years now.

For Lee, it all comes back to where his first idea and mission was believed in and supported, and that place was Japan. Not surprisingly, the bulk of Lee’s customers are in Japan, and it was there that he began his AI journey, by cutting his teeth in machine learning.

“After changing the company name to 5Rocks, we were providing analytics and marketing automation solutions for mobile game companies,” says Lee. “So even back then, we were actually using machine learning, but it was not deep learning. We were using machine learning to predict every single gamer's remaining lifetime in the game. For example, how many days or how many months is this gamer going to stay in the game and how much money are they going to spend in the game for their game items?

“We were predicting this by using machine learning," he continues. "And after we were acquired by the mobile advertising company, I worked as the SVP of the platform there, and I actually got the opportunity to learn the deep learning.

If it’s possible to dig deeper into deep learning, that’s exactly what Lee did as the senior vice president of Tapjoy. Selling his first company and staying onboard in a much more limited role allowed Lee to have a sort of paid internship or technological rotation program into AI and deep learning, which he believed was going to completely change everything and, as a result, was to be the major foundational key to his next venture, Allganize.

Japanese IPO on the horizon

Fast forward to 2023 and the $35 million in investments, Lee and his team are aiming to expand the company’s existing customer base of over 200 enterprises and an IPO on the Tokyo Stock Exchange in 2025.

Take a quick look around and roll call currently known AI platforms. Google Duet, Microsoft Co-Pilot and, of course, ChatGPT quickly come to mind, right?

Spoiler alert: those are all descendants of Allganize’s Alli All-in-One LLM Enabler Platform, which it continues to enhance. Still, Lee and his team still find themselves having to reassure that AI is not the boogeyman movies like The Terminator or Ex Machina have made it out to be.

“I think the most important thing is in how we can leverage and utilize these AI tools,” says Lee. “And because, at the end of the day, it's still a tool, AI is great. It's really powerful. But it's still the tool for helping humans. For example, for white-collar knowledge workers, productivity is completely different when they are using the AI. AI is also more knowledge-focused, and you can answer all the questions that you have.”

Simply put, AI can add not only add to efficiency and productivity, but it can also answer questions before anyone can think to ask them and fill in the blanks to missing information that one didn’t know was missing or could think was missing.

“As powerful as that sounds, AI still can't replace people because people still have to direct it and guide it to where it needs to go,” says Lee. “And because AI's capability is becoming more and more powerful, it’s important for us to learn how to safely train the AI and how to make the good guidelines that we're using for AI.”

With Allganize focused on large language models, they assist businesses to leverage AI to enhance their employees’ knowledge recall and operational efficiency.

“I'm always saying the LLM model is just an engine of the car,” says Lee. “People are buying cars, people are not buying engines. Of course, the engine is important for the car's performance, but people are actually buying cars, not the engines. So, we are really focusing on what kind of application you really want to do in your organization by using LLM.

"And again, our ultimate focus is all the applications because this AI should be used in the daily life of the enterprise, which is the workflow," he continues. “We call them the LLM app. At the moment, the biggest LLM app is called the cognitive search. So when an employee or the customer is asking a question, then AI is understanding all these internal, the best amount of the documents and knowledge bases and databases and they can give comprehensive correct answers to the users. ... Then AI can actually give better answers and they can also give you another suggestion on what to do next. So, that is the biggest application.”

Additional applications include comparing labor agreements in the labor department or on the human resources side, screening several hundred resumes to find who is the best candidate for an open job requisition. Bonus point: it does all of this without the implicit bias that has been historically problematic for HR teams in their recruiting process.

Allganize is also able to create applications without traditional coding like Java and Python.

“Yeah, that is possible because of the LLM,” says Lee. “Because the LLM is such an amazing AI. So, it can handle most of the logics and data. It has been handled only by the software code. But now, the LLM doesn't cover these things. And so users, like somebody who wants to build any of those complicated workflow automations, they don't really need to write a code and they can just use LLM. And then they can just do visual flowcharts, like the old way. And then that is our app. And then all these things are done just like magic.”

Certainly, there’s been quite a bit of “magic” coming from Allganize and that’s all because of Lee and his innate ability to identify problems that need to be solved before they develop and create applications and solutions to address them ahead of time.

“I think two main things are necessary to get to this point with Allganize,” says Lee. “The first thing is expertise in AI, and the second thing is real domain knowledge.

“And I have been working in enterprise, including telecommunications and gaming a little bit more than 20 years. So, how enterprise is working and how the workflow is being defined and how the company and the teams are collaborating, and I have been with it for 20 years. In my academical background, it's all about AI. And I'm writing a code and seeing the very technical details of all these AI models.”

Lee learned a lot during and after selling his first company that he founded, which put him on the correct path to get the funding needed to realize his dream for Allganize.

“I really want to make this a company which can go long and then big,” says Lee. “And that's why we are working on going public. We are doing business in the U.S., Japan, and South Korea. And at the moment, Japan is our biggest market. So, we are going to go public in Japan in 2025. And from that point, we're going to accelerate our global expansion.”

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Houston founder taps into AI tech to create game-changing healthy eating platform

there's an app for that

After many years of living to eat, a large swath of American society is now facilitating a seismic shift to the healthier alternative, eating to live.

But here’s the rub: eating healthy is confusing, time consuming and, unfortunately, oftentimes pricey.

So, anyone that can come in and cut through the healthy eating machine can carve out a necessary niche in the marketplace.

Enter Houstonian Mark Semmelbeck, founder and CEO of A Better Meal, a platform created to help busy families plan healthy meals easier and to make gradual improvements to their health and well-being.

“My vision is to use rapidly expanding AI technology together with the knowledge and wisdom of an active community to take the stress out of meal planning and improving nutrition,” says Semmelbeck, a seasoned oil and gas executive with over 30 years of experience in founding companies. “While developing the technology for the app, my daughter gave me two beautiful grandkids who both have significant food allergies. Combine that with the fact I now have five cardiac stents and the significance of eating well while paying attention to the details has only grown in importance.”

All-in-one app

Billed as the one-stop meal planning companion, A Better Meal promises users no additional stress in finding the time to look for recipes, make grocery lists, or prepare meals quickly. Families need healthy options and to be able to provide them with ease and that’s where this new application comes in.

“So, when I started A Better Meal, I wanted to answer two questions or help people answer two questions,” says Semmelbeck. “That is, a family gets home in the evening and they don't want to order out and they don't want to go out to eat, they can open up this app and it can tell them, ‘here's three things that you can make with what you have on hand that you like.’ The other question is, 'how can I make small changes to how I prepare my food, how I cook it, the ingredients that I use and small changes that can make my meals healthier.'

“So that was where we started. And then as we built the app out, got a minimum viable product out to people and in front of them, and we started seeing more as they used the app, what they actually wanted when they went to a meal planning app, so the last year and a half has been a process of refining the app to really set what people want in a meal planning and recipe app.”

When users download the app, which is a subscription-based tool, it starts with the simple things like, how many meals they’d like per day, if they have preferences in the types of food that they like, and, of course, if they have allergies.

Custom experience

Semmelbeck says that users are able to personalize the app and set up their own dashboard with meal planning. You can also use the app to analyze a new recipe you'd like to try.

"You can take a picture of, say a recipe written down, and you'd like to put that in your own personal database, you can take a picture of it, and it will interpret it and bring that into the app and then the app will calculate the calories and macros and the macro nutrients that that meal has in it so that you can see that information also," he says.

When it comes to food and meal planning, inserting the word “healthy” invariably invokes a litany of personal definitions, up to and including weight loss.

That definition isn’t wrong by any means, but for A Better Meal, it’s all about introducing healthier options into people’s everyday lives. The app won’t give you a specific diet to follow, but if users prefer a vegetarian, keto or paleo diet, the app will recommend recipes that will satisfy those disciplines.

“For a lot of people that's a huge help,” says Semmelbeck. “They just want to cook and eat healthier. They may like to have vegetarian days mixed in, but don't know where to find those recipes, the app can suggest recipes for a vegetarian meal. It can also recommend that substituting whole wheat flour for conventional flour for making pancakes, things like that.”

And for those users who don’t necessarily have a planned out starting place for meal preparation, they can search the internet or social media for meal plans and diets and then simply import those into the app.

“We also use AI to analyze recipes that would satisfy a certain type of diet that you would want to participate in,” says Semmelback. “But I will say that one of the main things we want to do is help you make small changes because again diets are great and a lot of people are on them, but few people maintain them for long periods of time because, in general, they can be very restrictive.

“So, we really want our goal to be able to help you make small changes with the things that you like to eat to make them healthier. And again, by healthy, certain kinds of fats are good, others you want to limit, certainly processed foods you want to limit, you want to limit the amount of added sugar, and you want to limit the amount of processed foods. That’s why we have our own nutritionist that helps us with those diets.”

Starting a journey

Currently, the nutritionist for A Better Meal is working just for the app in general, but as the platform grows, users will be about to ask direct questions or at least have access to educational materials about specific health issues, and specific diet recommendations for various health use.

“The app has been live for about a year and early on, we found that what people said they want is much different than what they actually use in the app. So, a lot of our work has been over the past year modifying the app, the way you move around in the app," says Semmelback. "We really want to use AI in ways that are helpful to people.

"I personally have dealt with heart disease, and I know that my doctor recommends less added sugar and processed foods. And so those are the kinds of things that we are using AI to do to help take recipes that you might like and make substitutions to those recipes so that they fit the kind of lifestyle you want," he continues. "What we're really concentrating on is the recipe part of the app and improving those and allowing them to be adaptable to the desires of the users. Finally, we really want to push into more education and more gamification where it actually makes it fun to use the app.”

Promising Houston startup expands energy efficiency product to Middle East, Singapore

big move

NanoTech Materials has announced a big expansion for its business.

The Houston company, which created a roof coating using nanotechnology that optimizes energy efficiency, has partnered with Terminal Subsea Solutions Marine Service SP to bring its products to the Gulf Cooperation Council and Singapore. TSSM will become the exclusive distributor and partner of Houston’s NanoTech Materials products, which will include the Cool Roof Coat, Vehicular Coat, and Insulative Coat for the GCC countries and Singapore.

NanoTech Materials technology that ranges from roof coatings on mid- to low-rise buildings to shipping container insulation to coating trucks and transportation vehicles will be utilized by TSSM in the partnership. NanoTech’s efforts are focused on heat mitigation that can reduce energy costs, enhance worker safety, and minimize business risks in the process.

“Businesses and communities within the GCC and Singapore feel the impact of extreme temperatures and longer Summers more acutely than any other region in the world,” Mike Francis, CEO of NanoTech Materials, says in a news release. “We have an opportunity to make a real impact here through reduced energy load, cooler and safer working conditions, and a reduced carbon emissions output from the hottest, driest place on earth. We are incredibly excited to be partnering with our colleagues at TSSM to bring this powerful technology to the region.”

One of the areas that will benefit from this collaboration is the Middle East. The GCC region is characterized by a desert climate, which has average annual temperature reaching 107.6°F and summer peaks climbing as high as 130°F. The effects of these extreme conditions can be dangerous for workers especially with strict labor laws mandating midday work bans under black flag conditions, which can result in productivity losses as well.

NanoTech’s proprietary technology, the Insulative Ceramic Particle (ICP), will be used to address challenges in energy efficiency and heat control in the logistics and built environment sector. The platform can be integrated into many applications, and the impact can range from reducing greenhouse gas emissions to protecting communities that are wildfire-prone. The core of the technology has a lower conductivity than aerogels. It also has a “near-perfect emissivity score” according to the company. The NanoTech ICP is integrated with base matrix carriers; building materials, coatings, and substrates, which gives the materials heat conservation, rejection, or containment properties.

By combining the ICP into an acrylic roof coating, NanoTech has created the Cool Roof Coat, which reflects sunlight and increases the material's heat resistance. This can lower indoor temperatures by 25 to 45°F in single-story buildings and reduce the carbon emissions of mid to low-rise buildings. This can potentially equal energy savings from 20 percent up to 50 percent, which would surpass the average 15 percent savings of traditional reflective only coatings.

“This technology will have a huge impact on supporting the region's aggressive climate initiatives, such as Saudi Arabia’s Green Initiative, aiming to reduce carbon emissions by 278 million tons annually by 2030,” Jameel Ahmed, managing director at TSSM, says in the release. “The regional efforts to enhance climate action and economic opportunities through substantial investments in green technologies and projects are evident, and we are proud to be offering a product that can make a difference.”

NanoTech says its coating maintains its effectiveness over time and doesn’t suffer UV degradation issues which are helpful, especially in extreme weather conditions workers and businesses face in regions like the Middle East.

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This article originally ran on EnergyCapital.