ChargerHelp was founded to address the scandalous reliability problems that have plagued public EV charging providers. The company provides Reliability as a Service (RaaS) to fleets, site hosts and networks. (Read our 2025 interview with CEO Kameale Terry.)
Now ChargerHelp has announced several growth milestones that “underscore the industry’s shift toward data-centric operations and proactive service models.” ChargerHelp has recently increased its number of stations under management, formalized a new partner program, and added to its executive team.
ChargerHelp applies a data-centric approach to optimize charging infrastructure. The company has collected some 300 million data points, which fuel its machine learning algorithms.
ChargerHelp has launched a new Partner Program. This initiative uses the company’s proprietary EMPWR platform, a technology layer that sits above OEMs and CMS platforms, to orchestrate coordination among hardware manufacturers, software providers and field technicians.
The program builds on established partnerships with over 40 EVSE providers. By integrating with backend systems via the EMPWR APIs, ChargerHelp creates “a unified feedback loop” with partners such as ChargeLab. According to ChargerHelp, this collaboration ensures that the 90% of charger outages related to software issues are quickly diagnosed and the appropriate action is determined—resolving issues remotely when possible and eliminating unnecessary truck rolls.
Meanwhile, ChargerHelp has expanded its leadership team. Jerry Varnado, formerly Chief of Staff at ChargePoint, has joined ChargerHelp as SVP Operations. Brad Juhasz, formerly of EV Connect and Eaton, joins the company as Chief Product Officer.
“Reliability at scale is a learning problem, not a maintenance problem,” said Kameale Terry, CEO of ChargerHelp. “When data and field experience are fragmented, every failure is treated like the first, with truck rolls for even minor software issues. By unifying cross-network data with real-world field intelligence into a single platform, we reduce diagnosis and decision latency and create a flywheel where every resolved issue makes the system smarter. Reaching this milestone shows the industry is ready to move beyond reactive maintenance toward intelligence-led infrastructure operations.”