Matthew Matos has long been enamored with digital technology. It started during his time as a sergeant for the Dunn Police, when he collaborated with state and federal agencies for the Internet Crimes Against Children Task Force (ICAC). Soon enough, Matos began networking with people in the tech industry to pursue a path in digital forensics, and he noticed the various uses of AI in public safety.
While working with ICAC along with the Cary Police Department, Matos heard a lot of complaints about the data fragmentation in many departments’ online systems, alongside the other complications new officers navigate.
“Once the AI wave came about, I quickly became an enthusiast and experienced some of the pain points firsthand, like using outdated systems to complete tasks that took forever, and experiencing some of the inefficiencies.”
Matos spent 2024 conceptualizing what a product addressing these common headaches would look like. In 2025, with help from his own network of tech experts, he formed a group of AI engineers that could bring such a product to life.
After pitching to multiple investors, Matos met Shaper Capital CEO Travis May, who helped Matos solidify his company with $700,000 in pre-seed funding. (Editor’s note: May was recently a subject in GrepBeat’s interview series The Download.)
“[He] would eventually come on as our initial investor,” Matos said.
The future of law enforcement intelligence
Matos’s vision became BEAMRaiL, a digital intelligence search platform that uses AI to pull info and data from existing systems.
Until 2025, the Cary-based company was going to be an AI-native records management system (RMS) for law enforcement.
“But we realized the most viable approach was not replacing RMS platforms,” Matos said. “But sitting on top of existing systems and unifying them through intelligent search and AI.”
The platform functions as a layer that will overlap the systems of any law enforcement department. It helps different stations manage their real-time intelligence centers (RTMS), conduct internal searches, improve training, organize case files, and enhance workflow. It also reduces workload for compliance and investigation processes.
“BEAMRaiL gives your department one search bar across every system so you can find anything in seconds,” Matos said. “You type a name, vehicle, phone number, and it pulls from everything at once.”
The company launched in January, according to Matos. The team is still finalizing a prototype but will share a demo soon.
Progress so far
BEAMRaiL recently welcomed David Motsinger, Principal Software Engineer for MethodSense, to shape the company’s “product and technical direction” as its founding engineer.
For now, they will be working primarily with local agencies via a B2B SaaS model; Matos plans to work with state agencies as well.
For the past year, Matos has visited numerous departments and agencies to learn more about their workload and challenges with system fragmentation, but also to share what he and his engineers have been building in BEAMRaiL.
“The fact that we’ve been received well in the law enforcement community and the feedback we’re getting has been really helpful during these conversations. I think that’s just been the best part about it.”
QUICK BITS
Startup: BEAMRaiL
Co-Founders: Matthew Matos, Travis May
Founded: 2025
Team size: 4
Location: Cary
Website: beamrail.com
Funding: Pre-seed ($700k raised)
This month, the company was selected as the focus for a Capstone project with the UNC Greensboro MBA program, where students will analyze their “market positioning” and strategy in the public safety sector.
BEAMRaiL also won an ElevenLabs credit-based grant supporting research in secure voice interfaces designed for public sector use. It is worth 33 million credits, which Matos plans to use for exploring voice AI features for the company.
Future plans
Matos said the BEAMRaiL team is taking steps quarter by quarter but is currently searching for new partnerships.
“We’re currently seeking a design partnership from a department that would enable us to embed our AI engineers into the department to build our product in real time while discovering where AI is best fit into their workflows.”
It will be free for early partners. Upon completion, they will receive a free pilot and free access to the BEAMRaiL platform for a year.
That aside, BEAMRaiL aims to be the most accurate solution for law enforcement teams.
“We want to build something truly remarkable in this space because we believe that officers deserve, and the law enforcement community deserves to benefit from the same innovations as the enterprise.”
