James Yockey is a co-founder of Landdox, which recently integrated with ThoughtTrace. Courtesy of Landdox

The biggest asset of most oil and gas companies is their leasehold: the contracts or deeds that give the company the right to either drill wells and produce oil and gas on someone else's land, or give them title to that land outright. A typical oil and gas company is involved in thousands of these uniquely negotiated leases, and the software to keep these documents organized hasn't been updated in more than a decade, says James Yockey, founder of Houston-based Landdox.

Landdox does just that: provides an organizational framework for companies' contracts and leaseholds. The company recently entered into an integration with Houston-based ThoughtTrace, an artificial intelligence program that can scan and pull out key words and provisions from cumbersome, complicated contracts and leaseholds.

With this integration, companies can use ThoughtTrace to easily identify key provisions of their contracts, and then sync up those provisions with their Landdox account. From there, Landdox will organize those provisions into easy-to-use tools like calendars, reminders and more.

The framework behind the integration
The concept behind Landdox isn't entirely new — there are other software platforms built to organize oil and gas company's assets — but it's the first company in this space that's completely cloud-based, Yockey says.

"Within these oil and gas leases and other contracts are really sticky provisions … if you don't understand them, and you're not managing them, it can cause you to forfeit a huge part of your asset base," Yockey says. "It can be a seven-, eight-, or nine-digit loss."

These contracts and leases can be as long as 70 or 80 pages, Yockey says, and have tricky provisions buried in them. Before the integration with ThoughtTrace, oil and gas companies would still have to manually pour over these contracts and identify key provisions that could then be sent over to Landdox, which would organize the data and documents in an easy-to-use platform. The ThoughtTrace integration removes a time-consuming aspect of the process for oil and gas companies.

"[ThoughtTrace] identifies the most needle moving provisions and obligations and terms that get embedded in these contracts by mineral owners," Yockey says. "It's a real source of leverage for the oil and gas companies. You can feed ThoughtTrace the PDF of the lease and their software will show you were these provisions are buried."

The origin story
Landdox was founded in 2015, and is backed by a small group of angel investors. Yockey says the investors provided a "little backing," and added that Landdox is a "very capital-efficient" software company.

Landdox and ThoughtTrace connected in 2017, when the companies were working with a large, private oil and gas company in Austin. The Austin-based oil and gas company opted to use Landdox and ThoughtTrace in parallel, which inspired the two companies to develop an integrated prototype.

"We built a prototype, but it was clear that there was a bigger opportunity to make this even easier," Yockey says. "To quote the CEO of ThoughtTrace, he called [the integration] an 'easy button.'"

The future of ERP software
Landdox's average customer is a private equity-backed E&P or mineral fund, Yockey says, thought the company also works with closely held, family-owned companies. Recently, though, Landdox has been adding a new kind of company to its client base.

"What's interesting is we're starting to add a new customer persona," Yockey says. "The bigger companies – the publicly traded oil and gas companies –have all kinds of different ERP (Enterprise Resource Planning) software running their business, but leave a lot to be desired in terms of what their team really needs."

At a recent North American Prospect Expo summit, Yockey says that half a dozen large capitalization oil and gas producers invited Landdox to their offices, to discuss potentially supplementing the company's ERP software.

"Instead of trying to be all things to all people, we stay in our lane, but find cool ways to connect with other software (companies)," Yockey says.

Greenway Plaza, which has recently renovated to introduce new spaces like The Hub, has a few more tech companies calling the office park home. Courtesy of Parkway Property Investments

3 tech companies ink deals in Greenway Plaza

Moving in

Three technology companies have executed new leases in Greenway Plaza. The leases represent over 20,000 square feet of space.

One of the companies has already moved in to the 52-acre Greenway Plaza, which is managed by Parkway Property Investments, LLC., while the others have move-in dates throughout the year.

"With renovations at Greenway 8 and 12 now complete, we're seeing broad-based interest from a variety of sectors drawn to an engaging, multi-faceted environment centered around convenience and collaboration with easy ingress and egress, a pedestrian-oriented layout, plus extensive and growing campus amenities such as the upcoming 80,000-square-foot Life Time Athletic club," says Parkway's COO, Mike Fransen, in a release.

Houston-based ThoughtTrace, Inc. is expected to move into its 4,358-square-foot space in Phoenix Tower the first quarter of 2019. The software-as-a-service startup uses artificial intelligence to make data entry and other tasks more efficient for oil and gas companies. The office will be the company's headquarters, and has regional sales offices in Dallas/Fort Worth, Denver, Oklahoma City, and Pennsylvania. Allie Hubbard, Brandi McDonald, and Christina Ott with Limestone Commercial brokered the deal on behalf of ThoughtTrace, while Rima Soroka and JP Hutcheson represented Parkway.

DMC, Inc., based in Chicago, is moving its Houston office from the Upper Kirby area to Greenway Plaza. The cross-industry software and engineering services company plans to set up 6,403-square-foot space in 8 Greenway Plaza in the third quarter of this year. DMC was represented by William Padon of CBRE and Parkway by Rima Soroka and JP Hutcheson.

Industrial Internet of Things platform, Detechtion Technologies, relocated its headquarters last month to a 12,000-square-foot space at 8 Greenway Plaza. Amanda Nebel and Eric Siegrist represented Parkway in the deal, while Detechtion Technologies was represented by Joshua Brown and Evan Roland of Newmark Knight Frank.

In addition to the three new tenants, the office park saw a few lease renewals from tech tenants including 30,000 square feet of new leases for NextSeed, Joule Processing, SkillGigs, and Marker Therapeutics, as well as an 8,000-square-foot renewal by a commercial operations enterprise software provider, according to the release.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”