The SEC expanded its definition of accredited investors, so now is the time for potential venture capitalists and angels to step up. Pexels

This month. the Security and Exchange Commission, or SEC, modified the definition of "accredited investor," with the effect of dramatically increasing the number of people eligible to participate in non-publicly traded investments.

The SEC definition of accredited investor establishes requirements for who may invest in private deals, startups, and private funds. These rules are meant to protect individuals from investing in assets that are high risk and have little publicly accessible information.

Historically, accredited investor status was limited to those that met certain wealth or income thresholds — specifically, a net worth of $1 million excluding primary residence, or $200,000 in annual income for an individual or $300,000 combined annual income for married couples. The SEC's thinking was that higher net worth individuals or higher earners likely have the sophistication to evaluate the risks and the ability to financially withstand potentially losing money they invested in a private investment.

However, with fewer companies going public and an increased interest in participating in private deals, startups, and funds many have suggested the accredited investor rule appeared more and more antiquated.

The SEC's new definition adds individuals with certain professional certifications (Series 7, Series 65, or Series 82 license) and "knowledgeable employees" at private funds, regardless of an individual's level of wealth or income.

Now, individuals with heavy involvement in and responsibility for investment activities and those with financial certifications are assumed to have the financial sophistication and ability to assess the risks of private investments. The SEC also added the clients and employees of family offices, which are investment arms of high net worth families. In addition, the SEC also expanded the married couples' income calculation to include "spousal equivalent" to capture non-married couples.

It remains to be seen whether these additions to the definition of accredited investors will add a significant number of new angel investors, as many of the individuals with such certifications already meet the previous net worth or income requirements. The startup ecosystem, however, has welcomed the move away from wealth and income criteria, as a good first step toward opening the private offering markets to more qualified individuals.

If you now find yourself meeting any of these qualifications of accredited investor, what now? The Houston Angel Network is a great resource to help you navigate these new waters, by providing a framework and network to learn how to evaluate investment opportunities. A common rule of thumb is that nine out of ten startups fail and will return zero dollars to investors. It is prudent to invest in several startups or through a fund with experienced and capable managers to get the needed diversification to expect a return on your investment in this asset class.

Angel networks throughout the country exist to educate accredited investors and provide a network of sophisticated and experienced individuals across industries to support due diligence. By working together and learning from experienced investors, newly accredited investors can avoid common investment mistakes and can develop skills to evaluate non-public investment opportunities.

The upshot of the expansion of accredited investors is that the SEC still expects such investors to be sophisticated and well educated about investment opportunities with high risks and rewards. Investors new to non-public markets should consider joining a network like the Houston Angel Network, where they can see hundreds of startups a year and learn from experienced investors.

Additionally, new accredited investors can engage in the local startup community by volunteering their services as a mentor at a local startup development organization like the Ion, Rice Alliance, Capital Factory, Mass Challenge, Plug and Play and many more. If you are considering investing in startups or a fund, please reach out to us at the Houston Angel Network for more ways to get involved and learn.

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Stephanie Campbell is managing director of Houston Angel Network and co-founder of The Artemis Fund.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”