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Edgewater Wireless Details Spectrum Slicing Roadmap and PrismIQ Platform Strategy at Silicon Catalyst Event

By Editorial Staff
Edgewater Wireless presents its AI-powered Wi-Fi Spectrum Slicing technology and PrismIQ platform roadmap at a Silicon Catalyst event, highlighting the shift toward reliable wireless connectivity for mission-critical applications.
Edgewater Wireless Details Spectrum Slicing Roadmap and PrismIQ Platform Strategy at Silicon Catalyst Event

Edgewater Wireless Systems Inc. (TSXV: YFI) (OTC: KPIFF) has released a presentation from its recent appearance at a Silicon Catalyst event in Sunnyvale, California, offering investors and partners a detailed look at its patented Spectrum Slicing technology and PrismIQ platform strategy. The presentation, now available on the company's website at https://edgewaterwireless.com/latest-presentation/, outlines Edgewater's roadmap for high-reliability wireless connectivity as the company transitions from investor validation into disciplined semiconductor execution.

The presentation comes at a pivotal time for Edgewater, following a strategic investor-led first close of its private placement and the initiation of a detailed architecture and design review for key elements of its Spectrum Slicing and PrismIQ roadmap. The company is increasing visibility around its next-generation Wi-Fi strategy, which focuses on delivering more predictable and resilient wireless performance in dense, interference-heavy environments.

Edgewater's patented Spectrum Slicing technology enables multiple concurrent channels within a single Wi-Fi band, addressing congestion and performance challenges that plague traditional Wi-Fi networks. According to Andrew Skafel, President and CEO of Edgewater Wireless, "Wi-Fi has historically been measured by peak speed. The next shift is about reliability. As more critical systems depend on wireless connectivity, the market needs performance that holds up outside the lab - in complex, congested and interference-heavy environments."

The company believes this approach is increasingly relevant as AI, autonomy, industrial systems, defence, public safety, and mission-critical edge applications place greater demands on wireless links. Edgewater's PrismIQ product family is designed to deliver Wi-Fi 8-ready solutions for Ultra High Reliability across residential, enterprise, and Industrial IoT deployments, while also opening opportunities in drones, UAVs, robotics, and defence.

Edgewater's participation in Silicon Catalyst, along with recent visibility at semiconductor-focused forums such as Synopsys SNUG Silicon Valley and Microelectronics US, reflects its broader engagement across the semiconductor ecosystem. The company holds 26 granted patents and has three AI-related patent applications pending, leveraging a capital-efficient fabless semiconductor model.

In a related development, Edgewater is proceeding with a second tranche of its non-brokered private placement, consisting of up to 16,666,667 units at $0.06 per unit for gross proceeds of up to $1,000,000, plus a permitted 15% over-allotment. Each unit includes one common share and one common share purchase warrant exercisable at $0.09 per share for two years. The TSX Venture Exchange has granted a 30-day extension to complete the offering. Net proceeds are expected to support semiconductor design, engineering, and product development for the Spectrum Slicing prototype, as well as general working capital. The company closed an initial tranche on June 29, 2026, issuing 7,155,879 units for gross proceeds of $429,353.

For industry leaders, Edgewater's focus on reliability over peak speed signals a paradigm shift in wireless networking. As AI and autonomous systems proliferate, the demand for deterministic, low-latency connectivity will intensify. Edgewater's Spectrum Slicing technology could become a critical enabler for applications where dropped connections or interference are not acceptable, potentially reshaping standards for industrial and mission-critical wireless networks.

Editorial Staff

Editorial Staff

@editorial-staff

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