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Aurora Solar Technologies - Corporate Update

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Vancouver, British Columbia--(Newsfile Corp. - April 16, 2025) - Aurora Solar Technologies Inc. (TSXV: ACU) ("Aurora" or the "Company") is pleased to provide shareholders with a corporate update. This update summarizes recent developments across strategic growth initiatives, technology, sales, and financing by the Company's operating subsidiary, BT Imaging Pty Ltd. ("BT Imaging"). Shareholders are encouraged to review this update alongside the most recent quarterly results and Management Discussion and Analysis filed on February 27th, 2025.

Highlights

First inline commercial order secured validating growth strategy for the new inline Intelligent PL Solutions platform. The platform combines core imaging technology with AI-driven analytics to improve real-time solar cell quality data and production efficiency.

Second major testing collaboration underway with a Tier 1 solar industry leader in China for its inline Intelligent PL Solutions platform. A successful outcome could lead to the Company's first large-scale commercial order, with a decision expected in Q4 2025.

Strategic partnership discussions initiated with leading solar industry companies to accelerate adoption, expand market access, and drive long-term shareholder value through potential volume orders and integrated supply solutions.

Sales expected to improve in fiscal 2026, driven by expanded capabilities, global industry growth, geographic expansion into India, the Middle East, and the U.S., and the commercial launch of our inline Intelligent PL Solutions supported by favorable technology trends.

Over C$2,000,000 in non-dilutive funding secured through financing facilities, university research partnerships, and government grants supporting near-term development and reducing capital requirements.

Inline Intelligent PL Solutions: Commercial Traction

BT Imaging has made significant progress in commercializing its inline Intelligent PL Solutions platform, which delivers real-time, contactless defect imaging and advanced measurements using proprietary software, machine vision, and AI algorithms. These tools enhance cell efficiency and binning strategies, support quality assurance through precise defect characterization and AI-assisted root-cause analysis. Inline PL imaging of finished modules, which can be performed before and after accelerated aging, allows distinguishing between voltage issues and series resistance issues in modules. This enables rapid identification of module defects and reliability assessment with early detection of module degradation issues. All of these factors help improve bankability for solar manufacturers.