numbers game

Data-focused Houston company arms startups with the AI tools they need to grow

It's all a numbers game, and Mercury Data Science is about setting up startups for success. Getty Images

While some say a picture is worth a thousand words, having the right data can be make or break. Houston-based Mercury Data Science is using data and artificial intelligence to paint some really specific pictures for its clients.

MDS was born out of a need for Houston-based Mercury Fund's portfolio companies that wanted a firmer handle on artificial intelligence and data science.

"Three years ago, a number of Mercury Fund portfolio companies and potential investments began to have increasingly important data science and AI components," says Dan Watkins, co-founder and managing director of Mercury Fund. "Mercury's partners wanted a deeper understanding of AI, to understand how the cutting edge meets industry use cases."

Mercury Fund's first move was to tap data scientist Angela Wilkins to lead some training, which then turned into even more workshops and advising. The companies ranged from early seed stage startups to companies that had raised over $100 million — and they wanted Wilkins' help, either with the basics of data science or execution of analytics.

"In fact, many of the more established companies were sitting on data assets with plans to build AI-enabled products but didn't have the time or people to really start that process," Wilkins says. "After helping a few companies, we realized the need was pretty deep, and bigger than the Mercury Fund portfolio."

Wilkins, who serves the company as CTO and co-CEO with Watkins, has seen her efforts grow MDS client base. InnovationMap sat down with Wilkins to see how far MDS has come — and where it's going.

InnovationMap: What sort of problems and data solutions are you providing clients?

Angela Wilkins: We love projects that have a direct impact on human health. In health, we build machine learning driven products to create new forms of digital diagnostics to help improve diagnosis in areas like cognitive functioning and depression. We have helped several therapeutics companies accelerate drug discovery and development by extracting insights from biological and imaging data. We have internal tools that use natural language processing to extract knowledge from millions of scientific publications and patents.

We have also worked quite a bit in consumer behavior and some of our physics-oriented data scientists are now working on noise reduction in geophysics technologies.

IM: What feedback do you get from clients?

AW: Company leaders in every sector are feeling the pressure to gain the advantages of AI or risk falling behind. There are many expert level teams available to Fortune 500 organizations. We are one of the very few teams that is entrepreneurial and agile enough to work with earlier stage, high growth organizations.

IM: How does MDS work with Mercury Fund? Has that relationship evolved over the years?

AW: We continue to work with the Mercury Fund portfolio companies but that is a smaller part of what we do. We are venture backed ourselves, and have now become a Mercury Fund portfolio company, with the same growth ambitions as all venture backed companies.

IM: Recently, MDS has seen some growth. How many employees have you added and are you still hiring?

AW: We are up to 20 employees, mostly data scientists, many with 5 to 8 years of experience working in AI, bioinformatics, and data science to provide insights and build products. We are always looking for great data scientists and data engineers to join our team. We also started a fellowship position for recent graduates, and so we can identify and train the next generation of data scientists

IM: What's been the biggest surprise for you as MDS has grown?

AW: We have been able to create this unique culture that thrives on diversity of thought and background. Half of our team is women. We are solving hard problems that benefit from the creativity you get from a wide variety of views.

IM: Where are MDS clients based?

AW: We have clients from San Francisco to Basel. We have learned how to build an integrated, high communication team with the client, so location is not critical.

That being said, we are active in and committed contributors to the Houston innovation ecosystem. Many of us are from a computational biology and bioinformatics background with deep roots in the Texas Medical Center institutions. Houston has amazing talent and we want to show the data scientists that they don't have to leave Houston to work on interesting problems and continue to build skills at the cutting edge while working for companies all over the world.

IM: What sort of trends are you seeing in venture capital? Are these trends happening in Houston?

We are seeing increasing investments in health AI. Fierce Healthcare reports that health AI topped all other sectors last year with $4B invested into AI startups. Andreesen Horowitz has announced their third and largest biotech and health care fund with $750 million to invest: "Machine learning and artificial intelligence [will] have an outsize impact on how we discover drugs and diagnose disease."

We see similar trends in other areas from industrial software to financial services. The upshot is that the adoption of AI creates significant opportunities for startups and significant challenges for larger companies that are not entrepreneurial and able to build their own data science skill set.

As far as Houston goes, the same trends are there but we tend to lag the major technology hubs in adoption. Efforts like TMC Innovation, Station, Rice University/The Ion and Houston Exponential are having a big impact on both the number and pace of startups and, increasingly, those have AI as a key part of their technology stack.

IM: We've talked about how MDS flies under the radar — why do you think that is? Do you think that'll change as you grow?

AW: Our initial focus was on the work for our clients and on building our team. We are ready to be noticed. Thank you for helping us tell the story with this article.

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Building Houston

 
 

We're welcoming more and more new Texans every day. Photo via Getty Images

The adage "everything's bigger in Texas" has never been more apropos than with this news: For the first time ever, the population of Texas officially reached 30 million.

Or 30,029,572 in July 2022, to be exact, according to the U.S. Census Bureau’s Vintage 2022 national and state population estimates, released on December 22.

We predicted this milestone last year when our population clocked in at 29,558,864, as long as Texas maintained its then-year-over-year growth of 1.1 percent.

We bested that percentage and then some, growing 1.6 percent and coming in fourth for total percentage growth. Florida, Idaho, and South Carolina were the only states ahead of us in that race.

The numbers also revealed that Texas saw the most numeric growth in 2022, adding 470,708 residents year over year from July 1, 2021, to July 1, 2022.

But wait, that's not all: Texas is also officially the second-most populous state, joining California in the 30 million-plus club. For reference, Texas is 268,597 square miles and California is 163,696 square miles — we do treasure our wide open spaces.

Growth in Texas last year was fueled by gains from all three of the main components: net domestic migration (230,961), or people moving in and out of the state; net international migration, or the number people moving in and out of the country (118,614); and natural increase, or births minus deaths (118,159).

“There was a sizable uptick in population growth last year compared to the prior year’s historically low increase,” says Kristie Wilder, a demographer in the Population Division at the Census Bureau. “A rebound in net international migration, coupled with the largest year-over-year increase in total births since 2007, is behind this increase.”

The Population Estimates Program uses current data on births, deaths, and migration to calculate population change since the most recent decennial census date and produce a time series of estimates of population, demographic components of change, and housing units.

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This article originally ran on CultureMap.

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