Nearly $190,000 Accelerates Two Arizona-Built Technologies — a Haptic Motorcycle Helmet and a Grid Platform for AI Data Centers

PHOENIX

A motorcycle helmet that warns a rider through touch, and a software platform that helps electric utilities absorb the enormous new loads of AI data centers, are the two newest bets from Arizona's applied research program. EIN Presswire reported that the Partnership for Economic Innovation, known as PEI, has funded two new applied research projects through its Applied Research Centers initiative — Hi Vis Technology, Inc., for a haptic motorcycle helmet designed to reduce rider fatalities, and Power-Fabric, Inc., for an enterprise-ready platform utilities can use to manage rapidly growing AI data center loads on the grid.

The headline number is modest, and that is the point of the model. EIN Presswire reported that PEI's funding totals nearly $190,000, and that each project requires matching private investment from the recipient company, which brings the combined project value to nearly $379,000. EIN Presswire reported that both projects address industry problems with technology invented and built in Arizona, and that both companies are partnering with Arizona State University researchers to complete lab testing before moving to field pilots.

In other words, public-facing research money is being used the way a lever is used: a comparatively small award, matched dollar-for-dollar by private capital, buys lab time with university researchers, shortens the distance between a prototype and a pilot, and keeps two Arizona-built companies building in Arizona while they do it.

The helmet that taps the rider instead of distracting them

The safety problem behind Hi Vis Technology is stated bluntly in the company's own account. EIN Presswire reported that Hi Vis Technology holds a U.S. patent for its Advanced Rider Assistance System, which delivers tactile alerts for blind spots, forward collisions and lane departures directly inside the helmet without diverting the motorcyclist's eyes from the road. The design premise is simple: a car driver can glance at a dashboard warning; a rider, balancing a machine in traffic, often cannot — so the warning has to arrive through a sense the rider is not already spending on the road ahead.

Lynne Nethken, Chief Operating Officer of Hi Vis Technology, said in the release EIN Presswire carried: “Motorcyclists account for roughly 3% of registered vehicles but nearly 16% of all traffic fatalities in the United States, and that gap exists largely because the safety technology available to car drivers has never been adapted for riders.” Nethken said, in the same release EIN Presswire reported: “This funding gives us the resources to change that, bringing Advanced Rider Assistance Systems to the people who need them most and putting Arizona at the center of that innovation.”

That framing — adapting proven car safety systems, blind-spot and forward-collision and lane-departure warnings, to the one class of vehicle that never received them — is what makes the helmet more than a gadget. If haptic alerts work in lab testing with Arizona State University researchers and then in field pilots, the product addresses a fatality gap that has persisted precisely because riders were left out of the driver-assistance era.

The grid platform built for the AI load surge

Power-Fabric's problem sits at the opposite end of the scale: not one rider, but the entire electric grid's encounter with artificial intelligence. EIN Presswire reported that Power-Fabric is developing a large-load management system for electric utilities to plan and operate the grid with flexibility and real-time situational awareness, filling a gap in the utility toolbox as compute demand grows faster than the grid can adapt. EIN Presswire reported that the platform's capabilities will enable faster speed-to-power for data centers while saving ratepayers from costly infrastructure upgrades to serve peak load.

EIN Presswire reported that Power-Fabric has successfully demonstrated the platform at Arizona State University working closely with an Arizona-based utility, and that the grant funding will accelerate its development from proof-of-concept to market readiness. Jeff Guldner, retired President of APS and CEO of Pinnacle West Capital Corporation, said in the release EIN Presswire carried: “The world around AI data centers is evolving quickly, and Power-Fabric is developing tools and workflows for utilities to effectively serve their AI customers while ensuring the grid is reliable and affordable to all rate payers.” Abhishek Jaiswal, Founder and CEO of Power-Fabric, said, as EIN Presswire reported: “The support from PEI's Applied Research Centers gives Power-Fabric the foundation to prove our solution is ready for the grid.”

For Arizona readers, the local stakes are direct. Data centers are among the fastest-growing large customers any desert utility can be asked to serve, and every decision about how to serve them lands eventually in ordinary customers' bills. A platform that lets a utility manage those loads flexibly — rather than building peak capacity that sits idle most hours — is an argument that AI growth and ratepayer protection do not have to be opposing forces, provided the tools arrive before the load does.

What PEI is, and why the match matters

EIN Presswire reported that PEI describes itself as a collective of business and community leaders dedicated to accelerating Arizona's economic opportunities, and that its Applied Research Centers initiative funds projects built around exactly this pattern: industry problems, Arizona-invented technology, university lab partnership, and private matching money. PEI's own site, azpei.org, describes its Applied Research Centers as accelerating the development of emerging technology products, and PEI reported in its background materials that the centers connect startups to researchers at institutions including Arizona State University.

Kathleen Lee, Director of Applied Research at the Partnership for Economic Innovation, said, as EIN Presswire reported: “These projects represent exactly the kind of bold, solutions-driven thinking that Arizona's applied research program was built to support.” Lee said, in the same statement EIN Presswire reported: “Hi Vis Technology and Power-Fabric are tackling real problems that affect real people, and this funding accelerates their ability to bring those solutions to market faster than they could on their own.”

EIN Presswire reported that the funding also shortens research and development timelines that early-stage startups typically face when moving from prototype to market, giving Arizona founders a faster path to customers, investors and hiring. EIN Presswire reported that applied research funding creates a ripple effect across the state, from new engineering hires and student research opportunities at Arizona State University to fresh venture capital interest in Arizona-based startups. DistilINFO reported, in its coverage of PEI's Applied Research Centers model, that the program uses a matched-funding structure in which public funds are paired with private and non-state capital to reduce financial risk for early-stage companies — the same structure visible in this round's nearly $190,000 growing to nearly $379,000 in combined value.

Lab first, then the field

The immediate road for both companies runs through a laboratory, not a launch event. EIN Presswire reported that both companies are partnering with Arizona State University researchers to complete lab testing before moving to field pilots. For Hi Vis Technology, that means proving that tactile alerts register correctly and usefully inside a helmet under controlled conditions before riders trust them in traffic. For Power-Fabric, it means moving a platform already demonstrated at ASU with an Arizona-based utility from proof-of-concept toward the market readiness its founder described.

Previously covers Arizona's reinvention from other angles, too — readers can explore our coverage of Chiricahua's designation as America's 64th national park and follow the region's developing stories on the Previously news front. A helmet that could cut rider deaths and a grid tool built for the AI era will not make the same headlines as a national park. But nearly $379,000 in combined, matched, lab-bound investment is how technologies like these quietly become products — and how Arizona keeps the jobs that come with them.