Announcement • Jun 26
PRF Technologies Reports Expanded Preclinical Results For PRF-110 In Head-To-Head Comparison With Approved Benchmark PRF Technologies announced expanded results from its previously reported preclinical study directly comparing its lead product candidate, PRF-110, to ZYNRELEF (bupivacaine and meloxicam extended-release solution), an approved extended-release product used as a benchmark in the study. The expanded results characterize the pharmacokinetic (PK) and tissue-distribution properties of PRF-110 alongside the analgesic efficacy data previously announced. PRF-110 is a proprietary, oil-based, viscous, clear extended-release formulation of ropivacaine designed to be deposited directly into the surgical wound bed prior to closure. The product candidate is being developed to provide prolonged local analgesia following surgery through a single administration at the surgical site, with the goal of reducing the use of opioids for post-surgical pain. The study was conducted in a validated porcine post-operative pain model, using von Frey methodology, to assess both analgesic efficacy and PK properties of the two extended-release formulations. PRF-110 and ZYNRELEF demonstrated similar reductions in mechanical sensitivity, as measured by the von Frey test, indicating comparable pain-relief performance. PRF-110 exhibited a slower absorption rate relative to ZYNRELEF, suggesting a more gradual release of ropivacaine at the site of administration. PRF-110 showed increased retention in local tissue along with higher local tissue exposure (Cmax), supporting prolonged availability of the active compound at the target site. Both formulations demonstrated sustained systemic and local drug levels, reinforcing their potential as long-acting analgesic solutions. PRF plans to continue advancing PRF-110 through additional studies to further validate its safety, efficacy and clinical utility across broader surgical settings. PRF-110 is a proprietary, oil-based, viscous, clear extended-release solution based on the local anesthetic ropivacaine and is being developed for the post-operative pain relief market. PRF-110 is designed to be deposited directly into the surgical wound bed prior to closure to provide localized and extended post-operative analgesia. The formulation is designed to remain in place at the surgical site, spread over and adhere to the wound surface, resist rapid clearance, and provide sustained local release of ropivacaine. PRF-110 is being developed to provide prolonged post-operative pain relief following a single administration, with the goal of reducing the need for repeated dosing and potentially reducing reliance on opioids after surgery. Announcement • May 31
PRF Technologies Ltd. Advances DeepSolar Predict Toward Commercial Launch As AI Platform Targets Revenue Optimization Across Renewable Energy Markets PRF Technologies Ltd. provided an update on the advancement of DeepSolar Predict, the Company’s AI-driven renewable energy revenue optimization platform, as PRF continues to prepare the solution for planned commercial launch. DeepSolar Predict is designed to help renewable energy operators move from production monitoring and standalone forecasting to real-time revenue optimization by combining AI forecasting, storage intelligence and market-driven decision support in a single platform. DeepSolar Predict is being developed with the goal of helping renewable asset owners, operators, and energy market participants improve production forecasting, optimize energy commitments, reduce imbalance exposure, and support higher-value delivery decisions across solar, wind, and battery energy storage assets. The platform builds on PRF’s previously announced DeepSolar initiatives, including DeepSolar’s participation in the NVIDIA Connect Program and the Company’s patent application covering proprietary methods for plant-level micro-climate modeling designed to improve solar energy production forecast accuracy in competitive electricity markets. DeepSolar Predict is designed to address these challenges through a unified AI-driven platform that connects the full renewable asset workflow — from weather intelligence and production forecasting to commitment optimization, storage orchestration, delivery planning and real-time market decision support. The Company believes this integrated approach differentiates DeepSolar Predict from many existing market solutions that address only isolated parts of the renewable energy value chain. DeepSolar Predict is being developed to help operators convert complex operational and market data into actionable decisions intended to improve asset-level economics. Key planned capabilities of DeepSolar Predict include: Localized weather intelligence: plant- and asset-level weather modeling designed to improve short-term and intraday renewable production forecasts; Production forecasting: AI-driven forecasting intended to support more accurate day-ahead and intraday energy commitments; Imbalance risk management: tools designed to help operators reduce exposure caused by differences between committed and actual energy delivery; Storage optimization: decision support for battery energy storage systems, including when to store, dispatch or preserve capacity based on market conditions; Portfolio-level optimization: analytics intended to support renewable operators managing multiple assets across different geographies, grid conditions and market structures; Real-time market decision support: market-informed analytics designed to help operators identify higher-value delivery opportunities. PRF believes DeepSolar Predict is positioned to support a growing need among renewable asset owners, independent power producers, infrastructure investors and energy market participants seeking to improve forecasting accuracy, protect margins and maximize asset value as renewable portfolios scale globally. The Company’s DeepSolar platform has already advanced across multiple commercial and strategic initiatives, including solar analytics deployments, technical due diligence services, commercial collaboration agreements and development of proprietary forecasting technologies. PRF believes the planned launch of DeepSolar Predict would represent an important next step in expanding DeepSolar from solar asset analytics into broader AI-driven renewable energy optimization. New Risk • May 29
New major risk - Share price stability The company's share price has been highly volatile over the past 3 months. It is more volatile than 90% of American stocks, typically moving 36% a week. This is considered a major risk. Share price volatility increases the risk of potential losses in the short-term as the stock tends to have larger drops in price more frequently than other stocks. It may also indicate the stock is highly sensitive to market conditions or economic conditions rather than being sensitive to its own business performance, which may also be inconsistent. Currently, the following risks have been identified for the company: Major Risks Less than 1 year of cash runway based on free cash flow trend (-US$4.0m free cash flow). Share price has been highly volatile over the past 3 months (36% average weekly change). Earnings have declined by 11% per year over the past 5 years. Shareholders have been substantially diluted in the past year (116% increase in shares outstanding). Revenue is less than US$1m (US$17k revenue). Market cap is less than US$10m (US$1.19m market cap). 
