Purpose-built solution gives real estate professionals fraud protection, safety insights, and high-impact prospecting toolsCHICAGO, March 24, 2026 (GLOBE NEWSWIRE) -- TransUnion (NYSE: TRU) announced today the launch of TruLookup® for Real Estate, a purpose-built solution that helps real estate professionals confirm property ownership to prevent fraud, conduct personal safety checks, and drive more efficient, effective prospecting. The solution reduces the need for real estate professionals to access multi ...

Alarum Technologies (NasdaqCM:ALAR) Q4 2025 Earnings call March 19, 2026 08:30 AM ET Company ParticipantsKenny Green - Head of Investor RelationsShachar Daniel - CEOShai Avnit - CFOConference Call ParticipantsKingsley Crane - Equity Research Senior AnalystNone - AnalystOperatorLadies and gentlemen, thank you for standing by. Welcome to the Alarum Technologies fourth quarter 2025 earnings results conference call. During today's presentation, all parties will be in a listen-only mode. Following management's p ...

Group 1 - LiveRamp Holdings, Inc. (NYSE:RAMP) has announced a partnership with Predactiv to enhance the use of offline data, specifically Personally Identifiable Information (PII) [1][2] - The partnership allows LiveRamp to handle identity resolution, converting sensitive PII into privacy-safe, interoperable identifiers for various applications within Predactiv's Data Platform [2][3] - The integration expands Predactiv's capabilities, enabling users to access features like Lookalike Modeling, which allows data owners to transform PII into privacy-safe products for sale [3][4] Group 2 - LiveRamp is recognized as a technology company focused on providing a privacy-centric data collaboration platform, facilitating the activation, unification, and management of customer data across multiple marketing channels [4]

Core Viewpoint - Investors are encouraged to focus on less valuable stocks with significant upside potential, such as Innodata, rather than established tech giants like Nvidia [1] Company Overview - Innodata has experienced a remarkable increase of over 720% in its stock price over the past five years, yet it remains valued at approximately $1.5 billion [2] - The company initially provided slow-growth services in content digitization and data enrichment but pivoted in 2018 to offer task-specific microservices for AI data preparation [2] Market Demand - Tech companies typically allocate around 80% of their time to data annotation and preparation for AI projects, leaving only 20% for actual algorithm training [3] - This high demand for data preparation services has positioned Innodata as a key outsourcing partner for major tech firms [4] Financial Performance - Innodata's revenue surged from $56 million in 2019 to an expected $252 million by 2025, with adjusted EBITDA turning positive in 2023 and projected to rise 68% to $58 million in 2025 [4] - Analysts forecast revenue and adjusted EBITDA growth rates of 31% and 19% respectively from 2025 to 2027, indicating strong future growth potential [5] Financial Health - As of the end of 2025, Innodata reported $82 million in cash and equivalents, positive operating cash flow, and a low debt-to-equity ratio of 0.6, providing a solid financial foundation for expansion [6]

Core Viewpoint - Alarum Technologies Ltd. will release its financial results for Q4 and the full year ended December 31, 2025, on March 19, 2026, before the Nasdaq market opens [1] Financial Results Announcement - The financial results will be discussed in a conference call hosted by CEO Shachar Daniel and CFO Shai Avnit on March 19, 2026, at 8:30 a.m. ET [2] - Participants can join the call via phone or webcast, with registration required prior to joining [2] Company Overview - Alarum Technologies Ltd. is a global provider of web data collection solutions, utilizing a hybrid proxy network for anonymous data collection from public sources [4] - The company's infrastructure is designed to ensure privacy, quality, stability, and speed of service [4]

Company and Industry Summary Company Overview - **Company Name**: 海天瑞声 (Haitian Ruisheng) - **Industry**: Data services and AI technology Key Points Revenue Growth and Business Focus - Projected revenue growth of 59% year-on-year for 2025, with visual and voice services accounting for 85% of total revenue [2][3] - Customized services have increased to 68% of total revenue, leading to a decline in overall gross margin from 64% to 50% [2][5] - The company is focusing on high-end customized demands from major clients like Alibaba and Apple, while abandoning low-margin projects [2][5] Market Trends and Client Dynamics - Significant shift in revenue contribution from data modalities: visual (43%), voice (42%), and text (15%) by the end of 2025, driven by the rise of applications like Kuaishou [4] - The company anticipates that the voice business will benefit from the trend of "humanized interaction" in 2026, with increased demand for multilingual and emotional data [6] International Expansion and Strategy - The Philippine base has exceeded expectations, primarily serving TikTok and Temu, with plans to expand to North America to mitigate compliance risks [2][8] - The company aims to leverage Southeast Asia's advantages, such as English proficiency and cost-effectiveness, to fulfill large-scale customized orders from North American clients [8] R&D and Product Development - The "R&D delivery" segment is expected to contribute approximately 8% of revenue in 2025, with a target of 100 million yuan in 2026 [3][11] - The company is developing a "trusted data space" to meet public data element requirements, which is expected to enhance gross margins [10][11] Talent and Cost Management - The company maintains a lean workforce of 251 full-time employees, relying on a network of thousands of partners for project execution [12] - The focus is on matching high-end data needs with flexible resource allocation, avoiding rigid cost structures [12] Client Relationship and Market Positioning - Major clients are increasingly centralizing their data planning and demand analysis, which has streamlined the company's engagement process [14][15] - The company is adapting to a "head concentration effect," focusing on high-tier clients while also addressing the needs of smaller clients in sectors like finance and education [16][17] Financial Outlook - The company aims for a compound annual growth rate (CAGR) of 40%-50% from 2024 to 2028, with a focus on stabilizing gross margins above 50% [3][19] - Net profit is expected to grow steadily, despite pressures from depreciation and stock compensation expenses [20] Emerging Opportunities - The government’s "AI+" initiative is expected to drive new demand, with significant investments in AI infrastructure anticipated [19] - The company is exploring new revenue streams from the "G-class data elements" driven by national policies [10][19] Conclusion - The company is strategically positioned to capitalize on the growing demand for customized data services, with a clear focus on high-margin projects and international expansion. The evolving client landscape and government initiatives present significant opportunities for growth in the coming years.

Core Insights - LiveRamp has launched new AI capabilities aimed at transforming marketing campaign planning, execution, measurement, and optimization [1] Group 1: AI Capabilities - The new features include agent-powered access to the LiveRamp platform, allowing specialized AI agents to autonomously collaborate with partners [1] - This development is intended to shift the marketing ecosystem from manual and fragmented workflows to intelligent and governed processes [1]

Company and Industry Summary Company Overview - The company focuses on AI, Data, and Agent as core components, providing end-to-end data services and is responsible for delivery results. Initially concentrated on the Southeast Asian financial market, it has expanded into 7-8 industries including retail, urban operations, and healthcare. Clients include private equity funds, public funds, and large enterprises like China Mobile [2][3] Core Business Model - The revenue model primarily consists of annual fees charged per module, supplemented by a transaction model. The company has high customer stickiness due to continuous delivery and support. In the first half of 2025, revenue was approximately 200 million yuan, although this figure is affected by client acceptance delays [2][6][7] Competitive Advantages - The company does not directly own client data, allowing clients to choose their front-end tools and models. Its strength lies in transforming heterogeneous and dirty data into high-quality usable data and providing adaptation and tuning capabilities between data and large models, creating deep binding relationships, especially in high-demand industries like finance [2][8] Industry Expansion Strategy - The company adopts a top-down expansion strategy, entering 1-2 new industries each year, starting with leading clients for customized delivery and gradually increasing standardization. Industries that are expected to take 3-5 years or 5-7 years to converge will be postponed. In 2026, the focus will be on investing in a robot training data platform and commercial aerospace [2][10] Project Delivery and Client Engagement - Typical projects cover the entire process from data acquisition, cleaning, standardization, to modeling, transforming large amounts of heterogeneous and dirty data into high-quality data. Delivery methods depend on client needs and can support remote delivery if data formats are adequate [4][11] Research and Development - Approximately 67% of the workforce is dedicated to R&D, with around 320 personnel. The company’s tools and engineering capabilities are reusable across industries, but entering new industries requires learning specific industry data and bringing in expert personnel [12] Pricing and Revenue Growth - The current pricing model is primarily based on annual fees per module, with exploration into backend revenue sharing based on value creation. Future considerations may include pricing based on traffic or tokens. The goal is to gradually align gross margins across industries towards the financial sector's level of around 80% [13] Client Concentration and Risk - The current client concentration is not significantly high, with revenue derived from both financial and diversified industry clients. As the amount from diversified clients increases, overall revenue is expected to rise [9] Market Trends and Client Acquisition - The company relies on client referrals for customer acquisition, with low sales personnel costs. There is a notable increase in interest from state-owned enterprises in AI, shifting from hardware-focused investments to recognizing the value of data [19] Financial Performance and Future Outlook - The company anticipates considerable growth in 2025, with expectations to achieve breakeven and generate profit in 2026. Current trends and forecasts indicate a normal and relatively optimistic performance [20]

Summary of XunCe Technology Conference Call Company Overview - **Company Name**: XunCe Technology - **Industry**: Data Infrastructure and AI Decision-Making - **Positioning**: XunCe serves as a full-link data infrastructure provider connecting raw data with AI decision-making, initially focusing on asset management and later expanding to large models and Data Agent platforms, similar to Palantir and Fourth Paradigm [2][4] Key Points Business Model and Product Offering - XunCe's products include PaaS-level real-time data infrastructure and SaaS-level applications, initially focused on asset management, now expanding into non-asset management financial services, telecommunications, urban management, and manufacturing [2][6] - The proportion of asset management business is expected to decrease from 74% in 2023 to 47% in the first half of 2025, indicating diversification [2][6] Financial Performance - Projected revenue for 2024 is 630 million, with a gross margin of 76.7%, although the company remains in a loss position, which has narrowed [2][7] - The business model operates on a dual approach of subscription and project delivery, with a current high reliance on project delivery [2][7] - Revenue growth over the past three years has been 38%, reflecting ongoing diversification and a shift towards subscription models [7] Market Position and Competition - XunCe holds an 11.6% market share in the asset management data real-time analysis market, ranking first and covering the top ten asset management companies in China with over 250 clients [3][8] - The overall real-time data market is still fragmented, with XunCe holding a 3.4% market share, ranking fourth [8] - Key competitors include Alibaba Cloud, Huawei Cloud, Tencent Cloud, and Hengsheng Electronics, with XunCe differentiating itself through private deployment and independent third-party agents [8] Industry Dynamics - The asset management data industry is projected to grow from 300 million in 2020 to 2.1 billion in 2024, with a compound annual growth rate (CAGR) of 62% [9] - The overall real-time data analysis market is expected to grow from 450 billion in 2024 to over 900 billion by 2029, with an annual growth rate exceeding 20% [9] Strategic Partnerships and Shareholder Support - Tencent is the largest institutional shareholder with a 7.55% stake, providing technical and scenario support [3][7] - Goldman Sachs supports the IPO process and facilitates connections with global asset management clients [7] Future Outlook and Valuation - Revenue expectations for 2026 are projected to exceed 2 billion, with a valuation method suggesting a potential market cap of around 30 billion [10] - The current market cap is approximately 26 billion, with expectations that entering the Hong Kong Stock Connect will improve liquidity and market perception [10] Investment Logic - XunCe is positioned as a leading company in the AI Agent space, with strong customer barriers and a clear strategic advantage, making it a compelling investment opportunity as data value continues to be reassessed [11] Additional Insights - The company has faced challenges with its IPO process, including two failed submissions due to unfavorable market conditions and regulatory issues, but successfully passed the third submission by enhancing data compliance and governance arguments [2][5][6] - The management team is well-structured, with clear roles among the founders, contributing to strategic decision-making and market expansion [8]

Core Insights - INNODATA INC. reported a 48% growth in full-year revenue for 2025, indicating strong financial performance and market demand [1] - The company anticipates revenue growth of approximately 35% or more in 2026, suggesting continued expansion and customer diversification [1] - Innovations in dataset creation and evaluations for large language models (LLMs), AI agents, and physical AI (robotics) were announced, highlighting the company's commitment to technological advancement [1] Financial Performance - The fourth quarter results contributed significantly to the overall revenue growth, reflecting robust operational execution [1] - The full-year revenue growth of 48% positions the company favorably within the industry, showcasing its competitive edge [1] Future Outlook - The projected revenue growth of ~35%+ in 2026 indicates confidence in sustained demand and market opportunities [1] - The focus on expanding customer diversification is expected to mitigate risks associated with reliance on a limited customer base [1] Innovations and Technology - The company is actively developing innovations in dataset creation, which are crucial for enhancing the capabilities of LLMs and AI technologies [1] - Advancements in physical AI and robotics are part of the strategic initiatives to broaden the company's technological portfolio [1]