CALLING FOR APPLICANTS

Houston organization rolls out new accelerator to support companies tackling 'pressing global challenges'

Calling all biotechnology startups focusing on sustainable feedstocks, commercially viable yields, and purpose fit microbes. Photo via Getty Images

A Houston organization — freshly funded by a $700,000 U.S. Economic Development Administration’s “Build to Scale” grant — is seeking its first accelerator cohort of industrial biology startups.

Founded by Houston-based First Bight Ventures, the BioWell has launched a virtual accelerator program that will provide programming, networking, mentorship, and financial resources to its inaugural cohort of 10 bioindustrial startups. The selected companies will also have access to specialized pilot bioproduction infrastructure throughout the nine-month program.

“BioWell equips startups with more than just capital. We provide a foundation for breakthrough innovations by combining access to cutting-edge bioproduction facilities with expertise that nurtures scalability. This comprehensive support is crucial for transforming pioneering ideas into market-ready solutions that can address pressing global challenges,” Carlos Estrada, head of venture acceleration at BioWell, says in a news release.

Applications for the program are open until May 15, and the cohort will be announced in June. Specifically, BioWell is seeking seed or pre-seed startup applicants that have a technology readiness level of 3 to 5, focusing on areas including low-cost and sustainable feedstocks, commercially viable yields, and purpose fit microbes.

“During our selection process, we'll prioritize startups that demonstrate a commitment to not only hitting milestones but also to building sustainable revenue streams for long-term survival. This phase necessitates keen awareness of market dynamics, customer demands, and sound financial management,” adds First Bight Ventures and BioWell Founder Veronica Wu.

In December, BioWell secured $741,925 of the $53 million doled out as a part of the "Build to Scale" Grant program that the U.S. Economic Development Administration, a division of the U.S. Department of Commerce, has established. First Bight was one of 60 organizations to receive funding.

Ex-Apple exec Wu founded First Bight Ventures in Houston in 2022 after relocating from Silicon Valley and seeing the region's potential for biotech.

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This article originally ran on InnovationMap.

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A View From HETI

Merab Momen, founder of AI CTO Services. Courtesy Photo

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


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