The potential SBIR rewards far outweigh the challenges, and with determination, your startup could be the next success story. Photo via Getty Images

Grants are everywhere, all the time, but often seem unobtainable for startups. Most companies tell me about their competitors winning grants but don’t know how to secure non-dilutive funding for themselves. It’s true that the SBIR program is competitive — with only 10 to 15 percent of applicants receiving awards — but with a little guidance and perseverance, they are most definitely obtainable.

An SBIR overview

The Small Business Innovation Research program was introduced on the federal level in 1982 with the purpose of de-risking early technologies. While most investors are hesitant to invest in a company that’s still in ideation, the SBIR program would provide an initial level of feasibility funding to develop a prototype. The program issues funds to companies without taking any equity, IP, or asking for the money back.

Since its inception, the SBIR program has funded over 200,000 projects through 11 different federal agencies, including, but not limited to, the Department of Defense, the National Institute of Health, and the National Science Foundation. Federal agencies with R&D budgets over $100 million dedicate at least 3.2 percent of their budget to the SBIR program to fund research initiated by small businesses.

Eligibility and application process

It is no surprise that only small businesses can apply for this non-dilutive funding. For SBIR purposes, a small business is defined as being a for-profit entity, smaller than 500 employees, 51 percent owned by US citizens or permanent residents, and not primarily owned by venture capital groups. This small business must also have the rights to the IP that needs de-risking.

To apply, the small business must have a specific project that needs funding. Normally, this project will have three specific aims that detail the action items that will be attempted during the funded period. Some agencies require a pre-application, like a letter of intent (DOE) or a project pitch (NSF). Others don’t have a screening process and you can simply submit a full application at the deadline. Most agencies published examples of funded or denied applications for you to review.

SBIR phases

Phase I of the SBIR program is the normal entry point for every agency. It takes your product from ideation, through a feasibility study, to having a prototype. While agencies provide various funding amounts, the range is between $75,000 to $300,000 for 3 to 12 months of R&D activities. Applications contain a feasibility research plan (around six pages), an abstract, specific aims, supporting documents, and a budget.

While some programs allow for Direct to Phase II (D2P2) applications, most don’t apply for Phase II until they have secured Phase I funding. This second phase allows companies with completed feasibility studies to test their new prototype at a larger scale. The budgets for this phase range from $600,000 to $3 million and span an average of two years. The research plan is twice as robust and a commercialization plan is also needed.

Tips for success

If you’re wondering if your technology would be a good fit for a certain program, you can start by looking at the SBIR website to see the previously funded projects. The more recent projects will give you an idea of the funding priorities for each agency. Most abstracts will allude to the specific aims, meaning you can get a sense of the research projects that were approved. If you regularly see an agency funding projects similar to yours, you can search sbir.gov/topics for that agency’s research topics and upcoming deadlines.

Your team is one of the most important aspects of the application. Since you will be reviewed by academic experts, it’s helpful to have a principal investigator on your project that has a history of experience or publications with similar technology. Keep in mind that this principal investigator must be primarily employed by your company at the time of the grant. If this individual is employed by a university or nonprofit research organization, consider taking the STTR route so you can utilize their expertise.

Preparing Phase I applications should take no less than eight weeks, and Phase II should take at least ten. Your first step should be read the entire solicitation and create action items. The early action items should be

  1. Completing government registrations, like SAM.gov
  2. Writing your abstract and specific aims
  3. Contacting the program manager or director for early feedback

Any bids, estimates, or letters of support may also take time to receive, so don’t delay pursuing these items.

Don’t stop trying

If you speak to any program officer, they will encourage you to keep applying. For resubmissions, you will have a chance to explain why your previous application was denied and what you’ve done to improve. Most companies receive funding on the resubmission. If you get the feeling that a specific agency isn’t the right fit, reach out to other agencies that may be interested in the technology. You may realize that a small pivot may open up better opportunities.

There are frequently published webinars from different agencies that will give overviews of the specific solicitations and allow for Q&A. If you feel stuck or are still concerned about getting started, reach out to an individual or group that can provide guidance. There are plenty of grant writers, some of which have reviewed for the SBIR program for different agencies, who can provide strategy, guidance, reviews, and writing services to provide different levels of help.

Securing SBIR funding can be a game-changer for startups. While the process may seem daunting at first, with the right approach and persistence, it’s very obtainable. Remember, each application is a learning experience, and every iteration brings you closer to success. Whether you seek support from webinars, program officers, or professional grant writers, the key is to keep pushing forward. The potential rewards far outweigh the challenges, and with determination, your startup could be the next SBIR success story.

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Robert Wegner is the director of business development for Euroleader.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”