Announcement • Jun 30Auddia Launches Discovr Radio Monthly Subscription ModelAuddia Inc. announced that its Discovr Radio artist promotion platform has formally exited its successful pilot phase and will transition to a monthly recurring subscription model, with new tiered pricing rolling out to customers in early July. The transition follows a pilot period that exceeded internal benchmarks across artist acquisition, listener engagement, and monetization. Key pilot performance metrics include: More than 1,500 artist and label accounts created on the platform; Over 185,000 plays delivered to listeners through the AI Placement Engine; 44% average clickthrough rate maintained on artist profile pages, multiples of typical digital audio benchmarks; 33% conversion rate from free to paid customer on the platform, up from 30% earlier in the pilot. The Discovr Radio monthly subscription model launches with two tiers designed to move artists through a clear promotion funnel. Visibility provides an entry point for artists seeking discovery inside faidr, while Airplay delivers full radio exposure through AI-driven placement into AM/FM streaming feeds. Both tiers will be available to customers in early July. Airplay — $25/month: The flagship Discovr Radio subscription for artists and labels ready for full radio exposure. Subscribers gain access to AI-driven placement into AM/FM streaming feeds, guaranteed plays, and the full Artist Portal, including detailed performance analytics, listener engagement insights, and campaign-level reporting such as total and partial plays, skips, likes and dislikes, listens by location and station, and cost-per-play. Visibility — $5/month: The entry-level plan for artists who are not yet ready for FM airplay. Visibility allows songs to be hosted on faidr and made playable for users who browse artists inside the app, giving emerging artists a low-cost path to discovery and a natural upgrade path to Airplay when they are ready for broader radio exposure. The subscription launch is a major milestone for Auddia because it converts Discovr Radio from a validated pilot into a commercial model built for repeatable revenue, lower-friction artist onboarding, and scalable platform growth. Auddia expects the move to a recurring subscription model, combined with the lower-priced Visibility tier, to broaden Discovr Radio’s addressable market and grow paid subscribers across both plans. The Company expects its previously announced Full Platform Partnership with Beatcave, together with upcoming CAMP Toronto and CAMP Vancouver activations in July and October, to support subscriber acquisition and expand Discovr Radio’s platform reach.
Announcement • Jun 22Auddia Advances LT350 Toward First AI Datacenter DeploymentAuddia Inc. announced that LT350 is advancing toward its first operational AI canopy pilot through the initiation of detailed engineering and deployment planning. LT350 has entered into a definitive agreement to execute the Phase 1 Statement of Work (SOW) with Fresh Consulting, a design, engineering, and early manufacturing firm, to begin the engineering and design process for LT350’s first GPU canopy pilot. The engagement marks the first major engineering milestone and formally initiates the architecture, feasibility validation, and system level design required to stand up LT350’s first operational canopy. Under the Phase 1 SOW, Fresh Consulting will develop the technical architecture for LT350’s modular GPU canopy, including GPU and CPU server cartridges, battery energy storage cartridges, liquid cooling, solar inverter integration, and the power-sovereign architecture that enables LT350 to operate as a distributed AI datacenter at the edge. Fresh Consulting will also evaluate partner ecosystems across GPUs, batteries, solar, MEP contractors, and cloud infrastructure, and will deliver a detailed roadmap for Phase 2, design/engineering, and Phase 3, fabrication/deployment. The engagement is designed to establish a deployment ready path toward LT350's first commercial scale pilot. Initiation of the Fresh Consulting engagement is in support of LT350’s goal of delivering its first pilot canopy within 18 months of merger close. LT350 is a distributed AI datacenter company with 13 issued, 1 allowed, and 2 pending patents on a proprietary solar parking lot canopy infrastructure platform that integrates modular battery storage and GPU cartridges into the ceiling of the canopy to turn any parking lot into an AI datacenter. The Company aims to build the most secure, lowest latency, cost effective, and rapidly deployed network of distributed AI datacenters at the edge by leveraging the use of underutilized parking lot space while strengthening the existing power infrastructure of local utilities.
Announcement • Jun 04Auddia Announces First Build Milestones For McCarthy Finney Operating System (MCFN-OS) Ahead Of Proposed MergerAuddia announced the first concrete development milestones for the McCarthy Finney Operating System (MCFN-OS), the AI-native, Web3-enabled operating platform that will power McCarthy Finney upon the closing of the proposed merger between Auddia Inc. and Thramann Holdings, LLC. As the first step in building the system, Auddia has engaged Chase J. Thompson, founder of AI integration firm Arqa, as Platform Architect. Thompson has begun work on the platform, marking the transition of MCFN-OS from conceptual architecture to an active, in-progress build. The first production module is targeted for delivery in Third Quarter 2026. Each module will be built on the same foundation of a shared institutional memory and a common agent runtime, with a knowledge graph and Web3 trust layer planned, enabling rapid reuse across functions and business units. The MCFN-OS platform is designed to be scaled across all subsidiaries to support each with agentic AI execution, cross-vertical intelligence, Web3-verified identity and provenance, workflow automation, and chat-first interfaces with no dashboards or software learning curve. Thompson will lead a lean Platform Group responsible for AI agent orchestration, knowledge graph engineering, Web3 identity and provenance, workflow automation, and application-layer interfaces.
