Financial Data and Key Metrics Changes - Revenues for Q3 2025 reached $13 million, an increase of 81% year-over-year and 48% sequentially, marking one of the strongest quarters in the company's history [7][15] - Non-IFRS gross margins for Q3 2025 were 56%, down from 74% in Q3 2024, reflecting increased investments and a higher share of large-scale projects with AI customers [16][17] - Operating expenses in Q3 2025 were $7.4 million, compared to $4.1 million in Q3 2024, driven by planned investments in R&D and sales [17] - Net profit for Q3 2025 was $0.1 million, down from $4.2 million in Q3 2024, with the previous year's profit influenced by one-time financial income [18][19] - Adjusted EBITDA for Q3 2025 was $1.2 million, compared to $1.4 million in Q3 2024 [19] Business Line Data and Key Metrics Changes - The company saw a 26% increase in paying customers and a 17% increase in average revenue per customer during the quarter [7] - The product suite is evolving from a single product proxy business into a diversified multi-product data infrastructure platform, with significant growth in datasets and website unblockers [12] Market Data and Key Metrics Changes - There is significant traction from major global e-commerce platforms in Asia, with repeat and expanding orders [8] - The AI market is experiencing volatility, but demand is broadening and growing sharply, positioning AI as a core long-term growth engine for the company [8][11] Company Strategy and Development Direction - The company prioritizes long-term relationships and market share capture over short-term margins and profitability [3] - Strategic investments are being made to expand capacity and enhance infrastructure, which is expected to improve margins over time [9][10] - The company aims to shift towards higher value products, which will improve unit economics and margins as the product mix evolves [10][12] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the ability to expand both gross and operating margins as the product mix continues to shift and infrastructure becomes more efficient [11] - For Q4 2025, the company expects revenues of approximately $12 million, representing a significant 62% year-over-year growth [13][20] - The company is positioned to serve the increasing reliance on high-quality, real-time public web data, with a vision to become a foundational data infrastructure company in the AI sector [14] Other Important Information - The company's shareholders' equity increased to $31.1 million as of September 30, 2025, up from $26.4 million at the end of 2024 [19] - Cash and cash equivalents as of September 30, 2025, were approximately $24.6 million, supporting strategic investments [19] Q&A Session Summary Question: Can you talk about the large project for Dataset delivery? - Management clarified that it is not a project but a demand for a product combining a scraper and dataset, with high customer satisfaction and retention [22][25] Question: Do you see once R&D customers have developed their models that usage is higher or lower? - Management indicated that during the education stage, data needs are high, but in the production stage, usage becomes more predictable and sustainable [26][27] Question: What is the pipeline to sell this new Dataset delivery solution to other customers? - Management confirmed that there are already other customers leveraging this product, and there are additional prospects in the pipeline [30] Question: How should we think about the gross margin recovering as revenue scales? - Management noted that if all solutions were in-house, gross margins could be around 70%, and improvements are expected as demand stabilizes and infrastructure efficiency increases [31][33]

Financial Data and Key Metrics Changes - Revenues for Q3 2025 reached $13 million, an increase of 81% year-over-year and 48% sequentially, marking one of the strongest quarters in the company's history [7][15] - Non-IFRS gross margins for Q3 2025 were 56%, down from 74% in Q3 2024, reflecting increased investments and a higher share of large-scale projects with AI customers [16][17] - Operating expenses in Q3 2025 were $7.4 million, compared to $4.1 million in Q3 2024, driven by planned investments in R&D and sales [17] - Net profit for Q3 2025 was $0.1 million, down from $4.2 million in Q3 2024, with the previous year's profit influenced by one-time financial income [18][19] - Adjusted EBITDA for Q3 2025 was $1.2 million, compared to $1.4 million in Q3 2024 [19] Business Line Data and Key Metrics Changes - The company saw a 26% increase in paying customers and a 17% increase in average revenue per customer during the quarter [7] - The product suite is evolving from a single product proxy business into a diversified multi-product data infrastructure platform, with significant contributions from datasets and website unblockers [12] Market Data and Key Metrics Changes - The company is experiencing strong traction with major global e-commerce platforms in Asia, which are placing repeat and expanding orders [8] - Demand from leading AI labs is expected to grow sharply, indicating a broadening market for the company's services [8][12] Company Strategy and Development Direction - The company prioritizes long-term relationships and market share capture over short-term margins, with a focus on AI-driven growth [3] - Strategic investments are being made to expand capacity and enhance infrastructure, which is expected to improve margins in the long term [9][10] - The company aims to shift towards higher value products, which will improve unit economics and margins over time [10][12] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's position within the AI market, anticipating smoother revenue patterns as models transition from research to production [11] - For Q4 2025, the company expects revenues of approximately $12 million, representing a 62% year-over-year growth [13][20] - The company aims to end 2025 with around $41 million in revenues, up almost 30% year-over-year [13] Other Important Information - The company's shareholders' equity increased to $31.1 million as of September 30, 2025, up from $26.4 million at the end of 2024 [19] - Cash and cash equivalents as of September 30, 2025, were approximately $24.6 million, supporting ongoing strategic investments [19] Q&A Session Summary Question: Can you talk about the large project for Dataset delivery? - Management clarified that it is not a project but a demand for a product combining a scraper and dataset, with significant revenue contribution [22][23] Question: Do you see once R&D customers have developed their models that usage is higher or lower? - Management indicated that during the education stage, customers need a large amount of data quickly, while in production, usage may be more predictable but spread over time [26][27] Question: What is the pipeline to sell this new Dataset delivery solution to other customers? - Management confirmed that there are already other customers leveraging this product, and there are additional prospects in the pipeline [30] Question: How should we think about the gross margin recovering as revenue scales? - Management noted that if all solutions were in-house, gross margins could be around 70%, and they are working to reduce reliance on third-party vendors [31][32] Question: When will and how do you think about the unit economics improving? - Management expects improvements in unit pricing as demand stabilizes and infrastructure becomes more efficient [36][37]

Financial Data and Key Metrics Changes - Revenues for Q3 2025 reached $13 million, an increase of 81% year-over-year and 48% sequentially, marking one of the strongest quarters in the company's history [6][14] - Non-IFRS gross margins for Q3 2025 were 56%, down from 74% in Q3 2024, reflecting increased investments and a higher share of large-scale projects with AI customers [15][16] - Net profit for Q3 2025 was $0.1 million, a significant decrease from $4.2 million in Q3 2024, primarily due to a high financial income in the previous year [17][18] - Adjusted EBITDA for Q3 2025 was $1.2 million, slightly down from $1.4 million in Q3 2024 [17] Business Line Data and Key Metrics Changes - The company saw a 26% increase in paying customers and a 17% increase in average revenue per customer during the quarter [6] - The product suite is evolving from a single product proxy business into a diversified multi-product data infrastructure platform, with significant growth in AI-centric products [11] Market Data and Key Metrics Changes - Strong growth was noted in the AI vertical, offsetting declines in other segments, with one large-scale AI customer contributing approximately $3.5 million in revenue [15] - The company is experiencing significant traction with major global e-commerce platforms in Asia, which are placing repeat and expanding orders [7] Company Strategy and Development Direction - The company prioritizes long-term relationships and market share capture over short-term margins and profitability, with a focus on AI-driven growth [3] - Strategic investments are being made to expand capacity and enhance infrastructure, which are expected to drive long-term growth despite short-term margin pressures [8][10] - The company aims to shift towards higher value products, which will improve unit economics and margins over time [9] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the growing demand for AI services and the company's positioning within the data industry, anticipating a revenue of approximately $12 million for Q4 2025, representing a 62% year-over-year growth [12][19] - The volatility in demand from leading labs is expected to stabilize as models transition from research to production [10] Other Important Information - The company's cash position as of September 30, 2025, was approximately $24.6 million, supporting ongoing strategic investments [18] Q&A Session Summary Question: Can you talk about the large project for Dataset delivery? - Management clarified that the demand is for a combination of a scraper and a dataset, with high customer satisfaction and retention [22][25] Question: Do you see usage being higher or lower once R&D customers have developed their models? - Management indicated that while initial data needs are high during the education stage, usage may become more predictable in the production stage [26][27] Question: What is the pipeline to sell this new Dataset delivery solution to other customers? - Management confirmed that there are already other customers leveraging this product, with additional prospects in the pipeline [30] Question: How should we think about the gross margin recovering as revenue scales? - Management projected that gross margins could improve significantly if third-party vendor reliance decreases, with a potential gross margin of around 70% if all solutions were in-house [31][33] Question: When will unit economics improve? - Management noted that as demand stabilizes and infrastructure efficiency increases, unit prices may rise, benefiting overall margins [36][37]

Financial Performance & Growth - Alarum Technologies' LTM (Last Twelve Months) revenue to Q3 2025 reached $36.3 million[7] - Adjusted EBITDA for the LTM to Q3 2025 was $4.9 million[7] - Data Collection experienced a Compound Annual Growth Rate (CAGR) of 68% from 2020 to 2024[7, 36] - The company's cash, cash equivalents, and cash investments stood at $24.6 million as of September 30, 2025[7, 51, 53] - Shareholders' equity was $31.1 million as of September 30, 2025[7, 51, 53] - Cash flow from operating activities for the LTM to Q3 2025 was $0.8 million[7] Market & Strategy - The Total Addressable Market (TAM) for Data Collection is estimated at $17.1 billion[7, 27] - The Data Collection & Labeling market is projected to grow at a CAGR of 28.4%, reaching $17.1 billion by 2030[27] - The company is transitioning to become a leading data enabler for AI, focusing on data collection solutions[9, 11] - Alarum is investing in infrastructure and strategic partnerships to capitalize on market opportunities in AI and e-commerce[9, 12]

Core Insights - Alarum Technologies Ltd. reported significant financial growth in Q3 2025, with revenues reaching $13.0 million, an 81% increase year-over-year, and a net profit of $0.1 million [2][11] - The company is focusing on long-term market leadership in the AI training-data sector, prioritizing infrastructure investments over short-term profitability [2][6] - Strategic investments are expected to pressure gross margins and EBITDA in the near term but are aimed at positioning the company for substantial growth and margin improvement [2][6] Financial Performance - Q3 2025 revenues were $13.0 million, up from $7.2 million in Q3 2024, while total revenues for the first nine months of 2025 were $28.9 million, an 18% increase from $24.5 million in the same period of 2024 [11][10] - Gross profit for Q3 2025 was $7.2 million, compared to $5.2 million in Q3 2024, with a gross margin of 55.6% [10][16] - Adjusted EBITDA for Q3 2025 was $1.2 million, down from $1.4 million in Q3 2024, reflecting increased operating expenses due to infrastructure investments [10][16] Customer and Market Dynamics - The company experienced a 26% increase in paying customers and a 17% rise in average revenue per customer in Q3 2025 [4][8] - New AI-focused products, including DataSets and custom Scrapers, are becoming significant revenue contributors, with triple-digit growth in some areas [8][11] - Alarum's strategic decision to expand capacity and enhance infrastructure is aimed at capturing the growing demand from AI labs and enterprises [5][6] Financial Outlook - For Q4 2025, Alarum anticipates revenues of approximately $12 million, a 63% increase year-over-year, with Adjusted EBITDA expected to be around $1 million [9] - The company expects smoother and more predictable revenue growth patterns as AI models transition into production and fine-tuning cycles [9][11] Balance Sheet and Equity - As of September 30, 2025, Alarum had a robust balance sheet with $24.6 million in cash and no debt, and shareholders' equity increased to $31.1 million from $26.4 million at the end of 2024 [8][16]

Core Insights - Alarum Technologies Ltd. reported Q2 2025 revenues of $8.8 million, a slight decrease from $8.9 million in Q2 2024, with a net profit of $0.3 million and Adjusted EBITDA of $1.0 million [1][9][13] Business Highlights - The company is experiencing strong demand for data from major global players in the AI segment, leading to expanded collaborations with significant AI and e-commerce companies [2][3] - Alarum is investing in infrastructure and operations to support market demand while maintaining operational efficiency [4] - The company anticipates substantial revenue growth in Q3 2025, driven by a new large-scale AI data project expected to contribute approximately $3 million [5][15][16] Financial Performance - For the first half of 2025, total revenue was $15.9 million, down from $17.3 million in H1 2024, primarily due to reduced consumption from large customers [9] - Gross profit for Q2 2025 was $5.4 million, compared to $6.8 million in Q2 2024, with operating expenses increasing to $5.4 million from $4.2 million [11][12] - As of June 30, 2025, shareholders' equity increased to $29.1 million from $26.4 million at the end of 2024 [14] Market Dynamics - The AI market is undergoing significant transformation, with many companies still defining their business models, which may lead to fluctuations in demand for Alarum's services [5][22] - The company is witnessing a shift in customer segments, with strong growth in the AI vertical, while other segments are declining, resulting in a Net Retention Rate of 0.98 [7][29] Future Outlook - The company expects Q3 2025 revenues to be approximately $12.8 million, representing a 78% year-over-year increase, with Adjusted EBITDA projected at around $1.1 million [15] - Alarum's strategic collaborations with major technology players are seen as a significant step to strengthen its position in the AI data collection market [17]

Core Insights - The company reported a revenue of $7.1 million for Q1 2025, aligning with guidance, while net profit was $0.4 million and adjusted EBITDA reached $1.3 million, exceeding expectations [1][12] - The demand for scalable, high-quality data is accelerating, driven by the growth of AI technologies and eCommerce platforms [2][8] - The company is strategically investing in scalable infrastructure and next-gen technologies to meet rising demand for AI-ready data [1][3] Financial Performance - Q1 2025 revenue decreased by 15% year-over-year from $8.4 million in Q1 2024 [13] - Gross profit for Q1 2025 was $4.8 million, with a gross margin of 67.5%, down from 78.5% in Q1 2024 [9][13] - Total operating expenses increased to $4.5 million in Q1 2025 from $4.0 million in Q1 2024, primarily due to higher research and development costs [13] Market Position and Strategy - The company expanded strategic partnerships with major AI and eCommerce players, including a top Asian marketplace and a European AI firm, for large-scale data labeling and model fine-tuning [8] - Alarum is positioned to play a key role in the emerging market for high-quality, scalable data infrastructure, essential for AI model training [8][29] - The company aims to build a robust data access backbone for the AI era, focusing on long-term value delivery for stakeholders [4][8] Future Outlook - The company anticipates Q2 2025 revenues to be around $7.9 million, with adjusted EBITDA expected between $0.5 million and $0.8 million [12] - The net retention rate (NRR) reached 1.13 as of March 31, 2025, indicating strong customer revenue growth [8][25] - Early results from strategic investments and positive pipeline visibility support an optimistic outlook for the second quarter of 2025 [8][12]

Financial Data and Key Metrics Changes - Annual revenue reached a record high of $31.8 million, a 20% increase from 2023, with 97% attributed to data collection [9][22] - Adjusted EBITDA for 2024 was a record $9.4 million, up from $5.2 million in 2023 [9][27] - Non-IFRS gross margin for the full year 2024 grew to 77% from 74.3% in 2023 [23] - IFRS net profit for 2024 increased to $5.8 million from a net loss of $5.6 million in 2023 [26] Business Line Data and Key Metrics Changes - Data collection revenue for Q4 2024 was $7.2 million, a 6.8% increase from Q4 2023 [22] - Data collection revenue for the full year 2024 reached $30.9 million, up 45.2% from $21.3 million in 2023 [22] Market Data and Key Metrics Changes - The data collection segment accounted for 97% of total revenues in both quarterly and annual metrics, up from 80% in 2023 [22] - The company experienced volatility in demand due to competition between AI platforms and traditional websites [12][39] Company Strategy and Development Direction - The company has fully executed its strategic vision to focus solely on data collection, phasing out other activities [8] - Investments were made to expand the IP network and enhance infrastructure to support massive data traffic [14] - The company aims to be a data enabler for AI-driven companies, positioning itself for long-term growth [17][33] Management's Comments on Operating Environment and Future Outlook - Management highlighted a "once in a generation inflection point" due to the AI revolution reshaping the data landscape [14] - The company is navigating a period of adjustment as the industry evolves, with short-term revenue growth expected to be lower [30] - Management emphasized the importance of patience and a long-term approach to capitalize on future opportunities [18] Other Important Information - The company recorded financial income of $300,000 for the full year 2024, compared to a financial expense of $300,000 in 2023 [25] - Shareholders' equity doubled to a record of $26.4 million from $13.2 million on December 31, 2023 [28] Q&A Session Summary Question: Can you describe the period of adjustment as the industry evolves? - Management noted that large companies are approaching them for cooperation, indicating a shift in strategy due to competition between AI platforms and websites [38][39] Question: Is the decline in net retention rate related to customer usage? - Management confirmed that the decline in net retention rate is indeed related to customer usage fluctuations as they reevaluate their strategies [45][46] Question: How has the engagement with a Fortune 200 company evolved? - The company reported increased usage from the Fortune 200 customer, with an annual run rate exceeding $500,000 [48] Question: What is the opportunity with large customers in the future? - Management sees significant potential for both regular and strategic customers, especially those aiming to become major players in AI [51][52] Question: What are the plans for new product launches versus M&A? - The company is focusing on internal development for new products but remains open to acquisitions if unique opportunities arise [57][60]