Travis Parigi, CEO of LiquidFrameworks, is excited about the new doors that have been opened for his company. Courtesy of LiquidFrameworks

Travis Parigi has built his software within his own company for about 14 years. Now, he's in a position to further develop his product at a faster rate.

In January, LiquidFrameworks entered into a partnership with private equity firm, Luminate Capital. The new financial partner has opened doors for Parigi and LiquidFrameworks — including putting merger and acquisition activity on the table.

"I have historically written stuff from the ground up, and we're going to continue to do that, but we want to give our customers more than that," Parigi tells InnovationMap. "And I've never had the opportunity to go out and strategically target opportunities where it makes sense to compliment the product. And I think that's going to be a very exciting thing to do."

Parigi, founder and CEO, tells InnovationMap about how his company has transformed over the years — and especially over the past several months with its new financial backer.

InnovationMap: How did you get your start in software development?

Travis Parigi: I've been building software since I was a very young kid, actually. I started writing software for companies at a very early age and realized that I really, really enjoyed it. And so when I say young, I'm talking in grade school and high school. And I really found that it was rewarding and I enjoyed meeting the requirements that people gave me. From the very early days, I knew I wanted to start a software company, but I really wasn't sure exactly what it would do. I went to work in the consulting industry right after graduating from A&M University with a degree in computer science and engineering and was building software for variety of different companies that were their clients and started to get some exposure to the energy industry.

Then in the late 1990s, the company I was at was going through some financial struggles, and it became an opportune time for me to start my own consulting company building software for companies. One client I had was Schlumberger, and I really started seeing this similar business problem related to collecting data at the well site. The workers in the field were working with paper and Excel. I thought it was a great opportunity to move people out of manual and into the digital world.

IM: Now, over a decade later, what role do you feel LiquidFrameworks plays in the industry?

TP: We play a role of standardizing the datasets that our clients are working with as it relates to the quote to cash process. So, specifically around their pricing data and their catalog data. We're standardizing that data and we're getting it into form and a shape that allows them to easily keep it up to date and easily syndicated changes related to that data out to not only other offices and districts, but also field crew that may be occasionally connected to the network.

With that data, we can do all sorts of things that end up benefiting the customer — like using it to create field tickets, invoices, work orders, safety forms, quotes, and all sorts of transactions that really need to be based upon one homogenous set of data that standardize, that isn't floating around in various documents.

IM: Where does the artificial intelligence LiquidFrameworks has developed come into play?

TP: We're taking it one step further, and once they finished those transactions, they end up with not just the reference data as it relates to pricing, but also the transactional data, we can use that data to infer the best way to quote or price new services in the future that will position the company and the best possible place to win the deals that they're quoting and bidding against. We're using different types of artificial intelligence algorithms to do that.

Nowadays, companies like us have at our disposal tools in the AI world — specifically in the machine learning world — that we just didn't have when I started the company. Fourteen years ago when I started the business, cloud computing in 2005 was not nearly as ubiquitous as it is today. And it wasn't as widely accepted and it certainly wasn't as widely accepted as it is in the energy industry today.

IM: What kind of clients are you working with?

TP: We're targeting three different industries. The upstream oil and gas service provider market, the downstream service provider market, and the emergency response service provider market. On the upstream side, they are companies doing work at the well site, and in downstream, they are companies doing work at the refineries.

IM: As automation and cloud technology is being more adapted within oil and gas, what technologies are now on your radar?

TP: In the beginning, we spent a lot of time educating our potential customers about cloud computing and about technologies that we had available. And now that a lot of that is so well received, it just means that we don't necessarily have to focus on that anymore. We can focus really on what really brings ROI to the customers that implement our product.

I keep a keen watch on a lot of the different technologies that are emerging out there. Blockchain is certainly one of them that we're looking at. I think there's some interesting things that we might be able to do with that as it relates to price book management, which is complex and varied. It could be that blockchain could end up providing a nice mechanism for both parties to independently have pricing data verified.

We're always keeping an eye on and doing work in artificial intelligence, specifically around machine learning. I think there's always new interesting stuff taking place there outside. I would say those two technologies are something that we're pretty pretty keen on.

IM: How has the transition into private equity been with your new partner in Silicon Valley-based Luminate Capital?

TP: We had a financial partner prior to Luminate Capital called Houston Ventures. Our managing partner there was a guy named Chip Davis. He was fantastic, and he helped us grow the business for about seven years. Eventually, we got to a point where we had grown to a level where I felt like, in order to do some things we wanted to do, we needed to establish a new financial partner. Private equity made the most sense for us, and it's really allowing us to do some things that we couldn't do with venture.

Over the years, we built out a fairly extensive roadmap, and my development team has worked very hard and diligently to fulfill those items on the roadmap. But our customer base has really grown significantly, and we've moved up into enterprise customers who have asked for a lot of things that we want to put into our product. And so our long range roadmap has grown. For these new features, we either need to build that ourselves in house, but, in some cases, there are some things that are tangential and complimentary to our product that other companies have already. So, it could make sense for us to go out and acquire those kinds of companies. And with Luminate, they provided us not only capital for us to do that, but equally as important, they provided an engine that we can facilitate from an M&A perspective to help us go and source those deals, find them, help assess them, and ultimately help acquire them and then integrate them into the overall platform.

IM: How has the partnership benefitted your company from a networking and opportunities perspective?

TP: Their portfolio of companies are similar to us and that they're are all enterprise software companies. They're not necessarily in the energy space, but they're all enterprise software companies. Being able to network with those companies has really been helpful. We didn't have a CFO prior to Luminate coming in. Part of the deal was that they said, "hey, we really would encourage and recommend that you get a CFO at this stage because you're growing and you need it." They provided some relationships there to in the form of recruiters to help us source the CFO. And we ended up sourcing a local CFO — Paul Marvin — who's absolutely fantastic.

IM: How has Houston been as a home base for you?

TP: Houston has been fantastic for LiquidFrameworks. I started the business based here and see no reason to change that. It is a fantastic market for us, both from a customer perspective as well as an employee perspective. The employee talent base in Houston is rich and deep. There's a lot of technical people here, and obviously there's a ton of energy companies.

IM: With all your operations being in Houston, do you see opportunities for other offices in the future?

TP: We have customers all over the world — a lot in Canada, so I could see an office there for sales and implementation. I would say that as we grow, expanding sales to other geographies is certainly something that will ultimately end up doing. It's just not something we've had to do yet.

IM: Are you planning on growing operations here?

TP: We've added a couple dozen people to the team just over the past few months, and we plan on doubling the staff by the end of next year.

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Portions of this interview have been edited.

Houston-based LiquidFrameworks has been acquired by San Francisco-based Luminate Capital. Pexels

Houston startup exits to Bay Area private equity firm

Grand exit

A Houston startup has entered a deal with a San Francisco-based private equity firm, the companies announced on January 10. LiquidFrameworks, which provides cloud-based, mobile field operations management solutions to oil and gas, environmental, and industrial service companies, is now operating under Luminate Capital following the acquisition.

While not all the terms of the deal have been disclosed, Chip Davis, managing partner at Houston Ventures, says the transaction exceeded $50 million of PE investment from Luminate Capital. HV has been involved with LiquidFrameworks since 2012 and has invested a cumulative $6 million, Davis says, and brought in the company's current CEO and head of sales — both of who are still a part of the company's team.

"When we got involved, it was a very small company," says Davis. "As of today, it has enterprise customers of some of the largest oilfield services companies in the world."

According to the release, Hollie Haynes, Mark Pierce, and Sanjay Palakshappa from Luminate have joined the LiquidFrameworks board of directors. The PE fund's investment is a part of the recently closed $425 million Fund II.

"For over a decade, we have served field services companies by reducing revenue leakage, shortening cash collection cycles, and increasing overall operational efficiencies. We have streamlined the day-to-day operations for field services professionals and increased transparency across organizations by transforming previously paper- or excel-based workflows," says Travis Parigi, founder and COO of LiquidFrameworks, in the release.

"With a partner like Luminate Capital, we will continue to invest and develop product capabilities to better serve field services industries that have previously been overlooked by software innovation."

One of LiquidFrameworks' tools is FieldFX, which enhances companies' data accuracy and accelerates revenue capture and cash flow.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.