TMC Innovation hosts 12 life science startups for semiannual accelerator bootcamp

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TMC's bootcamp companies have been announced. The 12 startups get to interact with Houston's health tech ecosystem and potentially join TMCi for its next accelerator cohort. Photo via TMC

The Texas Medical Center's Innovation Factory has brought in 12 life science startups to immerse them in the Houston innovation ecosystem, learn more about their businesses, and select its next cohort for its semiannual accelerator.

Twice a year, the TMC Innovation Factory hosts its HealthTech Accelerator Bootcamp. It a time to see if both sides of the table — TMC and the startups — are a fit for further acceleration. The 12 startups hail from three continents, represent a wide spectrum of specialties, and were widdle down from over 100 applicants.

“These startups are tackling significant challenges facing our health care ecosystem not only locally, but also globally. We are delighted to bring together solutions in the areas of maternal health, enabling care at home, nursing support and education, oncology and neurology, to name a few,” says Devin Dunn, head of the HealthTech Accelerator, in a news release.

Newly appointed entrepreneur in residence, Zaffer Syed, will help in supporting and guiding the cohort. Zaffer has experience as a medtech entrepreneur and has brought health care innovations to market.

“Participation in the Accelerator can certainly fast-track growth for early stage startups,” says Syed in the release. “I am eager to work with the caliber of companies entering bootcamp and to watch what they will achieve with the dedicated support of the TMCi team.”

The 12 companies that were invited to TMCi's bootcamp are as follows, according to TMC.

  • Avia Vascular, from Salt Lake City, Utah, creates Ally, a needle-free blood collection device intended to reduce the need for venipuncture when obtaining blood samples in patients with an established peripheral IV catheter.
  • Queenstown, Singapore-based Biorithm aims to reverse the poor maternal outcomes curve with its remote monitoring system to bring data-driven, accessible, and personalized care to every mother and baby.
  • CranioSense, founded in Bedford, Massachusetts, unlocks the hidden parameters of brain health across the neurological care spectrum with its development of a non-invasive way of assessing and monitoring intracranial pressure.
  • Milwaukee-based Debtle focuses on the patient portion of billing and uses its centralized communications and payment hub to save Revenue Cycle time, improve patient retention, and enable clients to easily resolve their overdue balances.
  • EmpNia Inc., from Minneapolis, enables precision imaging and radiation therapy for all cancer patients by providing an accurate, universal, easy-to-use, and cost-effective respiratory motion management solution.
  • Austin-based Highnote is a generative AI-powered mentor in the nurse’s pocket that build skills and confidence through just-in-time bits of information to make nurses feel supported and better equipped, to provide better patient care, and to improve retention rates.
  • LeQuest, from Rotterdam, Netherlands, aids health care professionals’ skills and knowledge advancement through online stimulation training with its comprehensive remote education solution, resulting in reduced cost of education, increased utilization and better patient outcomes.
  • Lucid Lane, founded in Los Altos, California, provides data-driven digital health solutions to empower both chronic and surgery pain patients, to prevent dependence on prescribed addictive medications and reduces persistent opioid use.
  • RizLab Health Inc., a Princeton, New Jersey company, brings blood cell analysis to patients’ fingertips with its Cytotracker portable device that measures white blood cell counts with a drop of blood to minimize infections from venipuncture in cancer patients.
  • Rose Health, based in Centennial, Colorado, connects occupational therapists and home remodeling service companies to households in need of accessible home modifications to enable homes to age with dignity.
  • Los Angeles-based Spark Neuro offers objective and accessible AI technology for the diagnosis and monitoring of brain health conditions.
  • Vitala, from Stockholm, Sweden, is a digital platform, enables health care providers to prescribe, monitor, and manage diagnoses-specific medical exercises for patients with chronic health conditions.

After the bootcamp, TMCi will decide which of the companies will move on to the six-month accelerator that's slated to start later this year. TMCi recently announced a new accelerator with Denmark, previously announced its spring cohorts.

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Houston heart health startup secures $8M in funding, announces new partnerships

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With fresh funding, a Houston-based health tech platform that's less than a year old has grown its United States footprint.

CardioOne, which has created a cardiology care delivery enablement platform that serves independent cardiologists, has closed an $8 million seed round of funding and secured three new partnerships. Axios and Crunchbase report that the round has closed, and CardioOne confirms the funding and new partnerships in a press release.

The company has three new partnerships with independent cardiology clinics in New Jersey, Florida, and Pennsylvania, Cardiac Associates of New Jersey, Twin Hearts LLC, and Corrieius Cardiology. The trio joins existing partner practices in Texas and Maryland.

In addition to joining forces with these practices, CardioOne has entered into a partnership with MedAxiom, which is described as being "the cardiovascular community’s premier source for organizational performance solutions," in the release.

“CardioOne is optimizing cardiology practice management and providing new options for independent cardiologists,” Joe Sasson, MedAxiom’s executive vice president of ventures and chief commercial officer, says in the news release. “With CardioOne, independent cardiology practices can access the scale and leverage typically reserved for large hospital groups and are empowered to grow through additional service lines, strong network relationships, and payor contracts, including value-based care arrangements.”

Dr. Jasen Gunderson, who's based in Denver, is the CEO and co-founder of CardioOne, which was founded last year. He explains the challenges of independent cardiologists, which includes inefficient revenue cycle tools, incomplete vendor management systems, and other tech-based and administrative obstacles — most of which CardioOne addresses.

“Inadequate and fragmented technology is at the root of many of the problems that independent cardiologists are facing today,” Gunderson says in the release. “CardioOne’s solution removes the heavy administrative burdens, empowering cardiologists to focus on their expertise and true passion – the practice of medicine without feeling forced into acquisition.”

CardioOne's mission is to continue to help cardiology practices maintain their independence while keeping up with demand, patient care, and business growth.

"Our independence and clinical autonomy has allowed our practice to provide more personalized care to our patients, but in a consolidating market... the resources and technology investments required to run a practice group today make staying independent more difficult than ever before,” Dr. John H. Lee of Cardiac Associates of North Jersey, says in the release. “CardioOne is a true collaborator, serving as an extension of our operations and allowing us to focus on doing what we love — caring for patients.”

Houston energy tech startup expands platform with new data tools

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Houston startup Molecule Software hopes to get a big bang out of its new platform for the energy and commodities markets.

The data-as-a-lake platform, Bigbang, is available as an add-on for current Molecule customers. It enables energy trading and risk management (ETRM) and commodities trading and risk management (CTRM) customers to automatically import trade data from Molecule, and then merge it with various sources to conduct queries and analysis.

Molecule sells Bigbang at a monthly rate through either a yearly or multiyear contract.

“We’re seeing a growing need in the energy and commodities trading space for a turnkey data lake, as indicated by our own customers. They need real-time and automated data streaming from key systems, the ability to query the data quickly and easily, and access to the data using the analytics tools they know well,” says Sameer Soleja, founder and CEO of Molecule.

Founded in 2012, Molecule specializes in cloud-based trading and risk management software for the energy and commodities sectors. Among the business segments that use Molecule’s software are electricity, natural gas, crude and refined products, chemicals, agricultural commodities, metals, and cryptocurrency.

“Energy and commodities markets have been undergoing a seismic shift, driven by two key factors: increasing price volatility across all commodities and a global energy transition stemming from the challenges of climate change,” Molecule says in a news release. “Given these market trends, near real-time data access and advanced trading analytics are essential for effective portfolio risk management.”

In 2021, Molecule closed a $12 million series A funding round led by Houston-based VC firm Mercury Fund. Seven years earlier, Molecule received a $1.1 million seed round from Mercury and the Houston Angel Network.

In a 2021 interview with the Houston Innovators Podcast, Soleja described how Molecule helps its customers assemble scattered data.

“The way to think about the product is if you have a brokerage account — like Robinhood, or something like that — you see how much stock you have and how much you’ve made or lost,” Soleja said.

“For companies that are trading electricity, crude oil, natural gas, and other commodities and agricultural products, they also want to see how much of each thing they have and how much they’ve made or lost. But they don’t just get to log into their brokerage account and figure it out. That’s in a lot of different places.”

6 ways Houston startups and small businesses can integrate AI, machine learning

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In today's fast-paced and technologically driven world, artificial intelligence and machine learning have emerged as transformative technologies that hold immense potential for startups and small businesses. While AI was once perceived as the domain of large corporations, it has become increasingly accessible, enabling startups and small businesses to leverage its capabilities to drive growth, enhance efficiency, and gain a competitive edge.

To start, AI is computer software that mimics the ways humans think in order to perform complex tasks, such as analyzing. ML is a subset of AI that uses algorithms trained on data to produce models that can perform complex tasks. The terms are often interchangeable.

Let’s explore how startups and small businesses can tap into the power of AI and ML right now to make a tangible impact on their business operations.

1. Streamlining Operations with Intelligent Automation

One of the primary advantages of AI and ML is their ability to automate repetitive and time-consuming tasks. Startups and small businesses can employ AI-powered chatbots to handle customer inquiries, freeing up valuable human resources and improving response times. Using chatbots in the past has been associated with a negative customer experience but is now more personal due to natural language processing (NLP) and offers the quick, convenient experience customers are looking for. ML algorithms can also automate data entry, data analysis, and report generation, reducing errors and boosting productivity. If you’re a business with regular customer interaction, you can implement a chatbot service. There are many chatbot service providers to explore with different price points.

2. Personalized Customer Experiences

AI and ML algorithms excel at processing vast amounts of data and extracting meaningful insights. By leveraging customer data, startups and small businesses can employ AI-driven recommendation systems to deliver personalized product recommendations, tailored marketing campaigns, and customized user experiences. This level of personalization enhances customer satisfaction, engagement, and ultimately, loyalty. For businesses with large amounts of data, you can implement a machine learning model into a basic application such as Excel. Just like chatbot service providers, there are many ML applications to choose from.

3. Enhanced Decision-Making with Predictive Analytics

Startups and small businesses often face the challenge of making informed decisions amidst uncertainty. AI and ML models can analyze historical data, identify patterns, and generate accurate predictions for various business aspects, such as demand forecasting, sales projections, and inventory management. Armed with these insights, business owners can make data-driven decisions that optimize their operations, reduce costs, and maximize profitability. Similar to creating a personalized customer experience, businesses can use ML to sift through large amounts of data, providing insights into trends not just with text, but also intention.

4. Improving Marketing and Sales Strategies

AI and ML have revolutionized marketing and sales strategies, offering startups and small businesses the ability to target the right audience with precision. Natural language processing (NLP) enables sentiment analysis, allowing businesses to gauge customer opinions and adapt their strategies accordingly. AI-powered tools can also automate lead generation, lead scoring, and customer segmentation, enabling businesses to focus their efforts on high-potential leads and optimize conversion rates. Many common CRM platforms incorporate AI with price points for small businesses.

5. Enhanced Cybersecurity and Fraud Detection

Startups and small businesses are not immune to cyber threats and fraudulent activities. AI and ML can fortify their security measures by analyzing network traffic patterns, detecting anomalies, and identifying potential threats. ML algorithms can detect fraudulent transactions in real-time, safeguarding businesses from financial losses. By deploying AI-driven cybersecurity measures, startups and small businesses can protect their data and ensure the trust of their customers.

6. Efficient Supply Chain Management

For startups and small businesses that rely on efficient supply chain management, AI and ML offer significant benefits. These technologies can optimize inventory levels, anticipate supply chain disruptions, and streamline logistics. By analyzing historical data and real-time information, AI algorithms can identify optimal delivery routes, reduce transportation costs, and minimize delays. This level of efficiency contributes to better customer service and higher customer satisfaction.

AI and ML have ceased to be distant dreams of the future, becoming accessible tools that can revolutionize the way startups and small businesses operate. It is crucial to recognize that successful implementation of these technologies requires careful planning, data quality, and ongoing monitoring. Startups and small businesses that embrace AI and ML now will position themselves as industry leaders, driving growth, and securing a competitive advantage in the dynamic business landscape of today and tomorrow.

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Terence Low is the founder and CEO of Codistas IT Services.

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