Trivie, which gamifies corporate training, has launched a new way for employees to connect with remote learning amid the pandemic. Photo via Trivie.com

How much of corporate training do employees actually remember? Texas-based Trivie, a training reinforcement app, sought to not only answer that question, but change the results entirely. Using adaptive learning and gamification, the Trivie app is reshaping online learning while the world adapts to remote working in a global pandemic.

According to Gallup Panel data, 62 percent of Americans currently say they have worked from home during the coronavirus pandemic. In a connected yet socially distanced environment, corporations are choosing to automate remote learning and disseminate critical COVID-19 guidelines with the help of Trivie.

One of Trivie's founders, Leland Putterman, who is based in Houston, first had the idea for a consumer-facing trivia game 18 years ago. When the app rolled out in 2013, it garnered more than three million downloads. Like anything in technology, App Store games were diversifying. Competing applications were deviating into in-app purchases — a move Putterman's app hadn't planned.

Rather than sink under the pressures of an unfit revenue model, the founders pivoted to a more fruitful investment in an untapped space: corporate training. After receiving multiple emails from users asking if developers had ever thought of using the app for company training, Putterman jumped into research on information retention and learned that trivia vastly benefits human memory.

With a new business plan and research backed by neuroscientists, the Trivie app launched in 2016. Reaching a broad list of organizations with five to over 40,000 users, Trivie has generated the praise and trust of business goliaths such as Subway, Unilever, and Anheuser-Busch. The app has been used to roll out onboarding, marketing training, safety protocols, sales information, remote learning and more.

"The vast majority of companies and organizations do nothing after a training event," he says, adding that, according to Trivie's own research, the app has found 50 to 75 percent of people had forgotten workplace education within a month. "It makes training one of the least effective business processes out there because everybody knows people don't remember their training unless it gets reinforced."

What if the secret to remembering is forgetting? Studies have shown that re-learning information over time strengthens memory recall.

"The way our solution works is very unique in that we want you to forget so you can re-remember again. The process of re-remembering is what pushes things into durable memory," explains Putterman.

When a company sets up a training on the Trivie app, the program serves each employee personalized training refreshers over time that are balanced with the retention levels of each unique learner. Using adaptive learning, the app prompts employees to remember previous facts until they master the subject.

"The AI [artificial intelligence] on the backend predicts when you're going to forget again, and it automates the whole thing," Putterman says.

In a Trivie control group, half of the test subjects used Trivie and half received basic employee training. Putterman stated the Trivie users typically have 95 percent retention after a month while non-Trivie users show less than 60 percent retention.

Employers can see the results of each Trivie assessment, pinpointed down to individual questions — a feature that is especially crucial for compliance and safety protocol. One of Trivie's university clients published a training on Title IX, where students passed yet 65 percent missed the question: "Whose responsibility is it to gain consent during a sexual encounter?"

When the university received the results, "they were able to see down to that level of detail—and that knowledge gap is pretty darn important," explains Putterman.

"Training is important but nowadays it's mission-critical," he says.

While Trivie already had many clients with needs for safety training, COVID-19 has brought new compliance guidelines to the forefront of every industry. Currently, Trivie has made the CDC's coronavirus guidelines available to all of its clients for no additional charge to be used across their entire employment bases.

Putterman acknowledges the pitfalls of sending out a corporate memo only to hear crickets.

"In a Trivie platform you would send a video, PDF, or word document via Trivie. You'd know people opened it up and after they're required to take a quiz so you know they understand what was in the message," Putterman explains.

An internal discussion board also allows company employees to discuss why the communication is essential to the organization. Another prominent feature of the app is a customizable survey.

"You know as well as I do that there's a ton of anxiety out there [about the coronavirus]. Wouldn't it be nice to push out a survey and then have a discussion around how people are dealing with it?" he questions.

With most of America's workforce working from home, Putterman expressed that it's common for employees to feel disconnected.

"The only way to maintain that company culture and close communication with confidence is to use something like Trivie," he says. "There's no feedback loop right now. The only way to bridge that gap is to have something like Trivie that's the glue."

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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.”