BluSky AI CEO to Present at Virtual Investor Conference on April 23

BluSky AI Inc. announced that CEO Trent D’Ambrosio will present at the AI & Tech Virtual Investor Conference hosted by VirtualInvestorConferences.com on April 23, 2026, at 1:30 p.m. ET. The live, interactive event will include real-time Q&A with investors, with additional availability for one-on-one meetings on April 23, 24, 27, and 28, and an archived webcast accessible following the presentation.

The company, headquartered in Salt Lake City, Utah, operates as a Neocloud purpose-built for artificial intelligence through rapidly deployable SkyMod data centers. These SkyMods are described as next-generation, scalable AI Factories providing speed-to-market and energy optimization for entities requiring high-performance infrastructure to support machine learning workloads. This approach is designed to empower small, mid-sized, enterprise, and academic partners from start-up to scale-up to drive innovation without compromise.

The latest news and updates relating to BluSky AI are available in the company’s newsroom at http://ibn.fm/BSAI. The conference presentation represents a significant opportunity for the company to communicate its value proposition directly to the investment community. The AI & Tech Virtual Investor Conference serves as a platform for companies to showcase their technologies and business models to a focused audience of investors interested in the sector.

AINewsWire, the specialized communications platform that issued the announcement, is one of 75+ brands within the Dynamic Brand Portfolio at IBN that delivers various services including access to wire solutions, article syndication, press release enhancement, and social media distribution. Full terms of use and disclaimers applicable to all content provided by AINewsWire are available at https://www.AINewsWire.com/Disclaimer. The company’s participation in this event underscores the growing investor interest in specialized AI infrastructure providers that enable broader adoption and scaling of artificial intelligence technologies across different organizational sizes and sectors.

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