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  • Waiker Supplies Ontology-Based AI Labeling News Data to Kakaopay Securities… Strengthening Data’s ‘Usage Context’

    Waiker Supplies Ontology-Based AI Labeling News Data to Kakaopay Securities… Strengthening Data’s ‘Usage Context’

    Waiker, an AI company specializing in the securities market, is supplying AI data to Kakaopay Securities. Using ontology-based technology, the company automatically classifies and tags real-time data to reduce irrelevant data noise and provides it in a format that can be accurately utilized by various digital services and LLMs.

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    With this implementation, Kakaopay Securities can now refine vast news streams with accurate and consistent metadata, enabling faster and personalized stock news discovery, alerts, and risk insights for users.

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    Waiker continues its specialized AI R&D with ontology-based AI labeling as its core strength. The company has been building an ‘AI-ready database’ that facilitates AI utilization by extracting, transforming, and loading (ETL) unstructured text from global stock markets, then applying its proprietary classification system. The pipeline is designed to automatically assign various metadata including topics, industry codes, events, and stock tickers during this process.

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    Kyu-jong Hwang, CEO of Waiker, stated, “With AIX, the era of vast real-time data experiences that can become noise for users will come to an end, and providing optimized data will become universal. We provide AI-labeled data that helps investors make investment decisions suited to their situations and preferences, making it well-utilized not only by digital platforms but also by LLMs. Waiker’s AI Labeler assigns correlations and priorities between nodes through tags and relevance to vast global news, helping maximize our clients’ business performance and investors’ utility.”

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    Kakaopay Securities adopted Waiker’s specialized AI after confirming superior quality compared to general-purpose LLMs in Reuters original text processing, stock tagging, and filtering. Based on this, they are enhancing the quality of news services within individual stock pages.

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    Industry experts point to data filtering and readability as key factors in improving reliability, especially as fatigue increases in mobile brokerage environments due to duplicate articles, incomplete stock mapping, and low relevance. Waiker’s data can be utilized through API/MCP formats and is applied to stock-specific news screens in the Kakaopay Securities app.

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    Since its establishment approximately 6 years ago, Waiker has conducted R&D as an AI company specializing in securities market data, supplying data not only to domestic securities firms like Shinhan Investment Securities and Hana Securities but also to data vendors like Koscom, operating stable real-time customer services with AI technology.

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    The company states its goal is “to create an experience where users feel optimized data utility with reduced noise by assigning meaning and priority to data, enabling better investment decision-making.” To expand this data experience to global clients, the company continues licensing and joint ventures with LSEG Data & Analytics (formerly Refinitiv) for unstructured stock market data.

  • Waiker Partners with Palantir on AI Ontology for Securities Market Data — A First in the Sector

    Waiker Partners with Palantir on AI Ontology for Securities Market Data — A First in the Sector

    Applied R&D validates governance, pipelines, and automated analytics using Palantir Foundry and AIP; Waiker advances an AI-ready database, widgets, and APIs for capital markets clients 

     

     Waiker, an AI startup specializing in application-layer solutions for financial markets, today announced an applied research and development (R&D) collaboration with Palantir focused on AI ontology and analysis workflows tailored to securities market data. According to the company, this marks the first collaboration of its kind in the securities market.


    Drawing on the operating principles and global best practices of Palantir Foundry and Palantir AIP, Waiker built a sector-specific framework and validated its capabilities across data governance, pipeline management, and analytics automation.

     

    Unlike foundation-model builders, Waiker focuses on the application layer. The company extracts, transforms, and loads (ETL) raw data from global equity markets and, through proprietary ontology-based labeling, is building an AI-ready database. Waiker is a licensed data vendor for Nasdaq TotalView and an AI data partner of LSEG Data & Analytics (formerly Refinitiv).

     

    The R&D corresponds to Phase 2 of Waiker’s proprietary programs: WAISOD, an AI system specialized for securities markets, and WOOSAIN, a global equity market data ontology. Waiker plans to deliver its data via widgets and APIs in formats aligned to customer preferences.

     

    Product delivery options

    Data Solutions — Provided as database products with task-oriented natural-language descriptions and schema constraints, accessible via MCP (Model Context Protocol), WSS (WebSocket Secure), and standard APIs (Application Programming Interfaces).

     

    Widget Solutions — Graphical, dataset-driven interfaces that allow users to experience data utility directly, delivered as SDKs (software development kits), iframe embeds, or via MCP for drop-in use across digital platforms.

     

    AI Solutions — Access to the WAISOD AI system through AI APIs, incorporating LLM orchestration and Mixture-of-Experts (MoE) techniques; these deliver greater utility when combined with Waiker’s data and widget layers via MCP.

     

    “Our team is rapidly internalizing ontology and AI operations that span the entire securities-data value chain,” said Kyujong “Elvin” Hwang, CEO of Waiker. “Building on this milestone, we’ll widen our collaboration scope and execute against a scalable technical roadmap.”
    Waiker plans to advance to Phase 3 through a consortium with international academic research institutions.

     

    About Waiker
    Waiker is an application-layer AI company for capital markets. The company structures global securities data via ETL and proprietary ontology-based labeling to deliver an AI-ready database, along with widgets and APIs that plug into client workflows. Waiker is a licensed vendor of Nasdaq TotalView and an AI data partner of LSEG Data & Analytics.

     

    Trademarks
    Palantir, Palantir Foundry, and Palantir AIP are trademarks of Palantir Technologies Inc. Nasdaq and TotalView are trademarks of Nasdaq, Inc. and its affiliates. LSEG is a trademark of London Stock Exchange Group plc. All other trademarks are the property of their respective owners. Use of third-party marks does not imply endorsement.

     

    Media Contact
    Waiker Press Relations

    press_relations@waiker.ai

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  • Waiker Awarded the 2024 CES Innovation Award in Artificial Intelligence

    Waiker Awarded the 2024 CES Innovation Award in Artificial Intelligence

    Waiker, a global stock market data tech company, has been recognized with the 2024 CES Innovation Award in the Artificial Intelligence category. Among 25 global awardees at CES, Waiker stands as the only data company, earning international acclaim for revolutionizing the stock market data industry through its technological innovations.

    Through partnerships with LSEG Refinitiv, KOSCOM, and stock exchanges like NASDAQ, Waiker has developed groundbreaking stock market data products. The company’s technology successfully transforms complex market data into meaningful datasets that demonstrate high correlation with stock prices, overcoming previous limitations in speed and accuracy.

    Global securities firms and asset management companies are increasingly implementing Waiker’s technology-based stock market data products in their digital services, signaling a shift toward data-driven innovation in the financial investment industry.

  • Shinhan Securities Partners with Waiker for Cloud-based Open Platform

    Shinhan Securities Partners with Waiker for Cloud-based Open Platform

    Shinhan Securities has announced a Memorandum of Understanding with Waiker, an AI global stock market startup, to develop a cloud-based open platform. Shinhan Securities, a subsidiary of the Shinhan Financial Group and a cornerstone of South Korea’s financial industry since the 1960s, provides comprehensive financial services including securities brokerage, investment banking, and asset management.

    Waiker specializes in AI-powered global stock market database creation and utilization. The startup has secured an exclusive service contract with the London Stock Exchange Group (LSEG) for AI data services and supplies AI-powered US stock market analysis content to KBS using their specialized Large Language Model (sLLM).

    As Shinhan Investment Securities prepares to launch its open platform, the partnership with Waiker aims to establish a technological roadmap with clearly defined stages for mutual growth and success in the global market.

    Waiker CEO Elvin Hwang commented, “From our initial efforts collecting global stock market data, we identified areas where infrastructure for the stock market is underdeveloped in certain regions. Partnering with Shinhan Securities on the enhancement of global stock market infrastructure initiative through their open platform presented an attractive opportunity for Waiker.”

    Hyeong-sook Jeon, Shinhan Securities’ ICT Group head, stated, “Distinct from entities solely fixated on AI or data collection, Waiker’s prowess lies in swiftly and adeptly converting unstructured stock market data into AI-driven databases within a hybrid cloud environment. Making the company to become an apt prime partner for our open platform.”

    While tech giants like Amazon and Google have mainstreamed data and IT infrastructure integration in consumer goods and media, the financial sector has remained conservative in adopting modern technology. Shinhan Securities aims to address this gap by leveraging both companies’ technological competencies to establish solutions that will revitalize global stock trading and data infrastructure.

  • KBS and Waiker Pioneer Live Broadcast on US Stock Analysis based on AI LLM

    KBS and Waiker Pioneer Live Broadcast on US Stock Analysis based on AI LLM

    KBS (Korean National Broadcasting) has been utilizing Waiker’s AI content and technology since June 1. Through ‘Market Now’, a news corner of Newsline W, KBS has been live broadcasting U.S. stock news using Waiker’s technology. Aimed at assisting Korean investors in U.S. stocks, Market Now has reached a maximum daily viewership of 700,000.

    Waiker, a leader in AI natural language processing technology specialized in stock market data, has secured numerous domestic and international clients through successful projects. Their sLLM (Specialized Large Language Model) swiftly analyzes unstructured information related to the global stock market, converting it into a database and generating content according to customer needs. Years of sustained taxonomy and semantic DB construction have established their unique position in mining quality data and utilizing text-generative AI technology.

    KBS has validated Waiker’s solution for broadcasting real-time U.S. stock market events, economic indicators, indices, trading volume trends, and quotes. The broadcast covers insider trading information, earnings announcements, major contracts, management matters, and IB investment opinions.

    Korean investors, who maintain an annual net purchase of approximately $4.6 billion in U.S. stocks, face challenges in accessing information due to language and time barriers. KBS implemented Waiker’s solution to help viewers find meaningful information amid the data flood.

    The U.S. stock market is renowned for its market-friendly policies, capital raising capabilities, and liquidity, along with the industrial competitiveness and growth momentum of listed companies. This has attracted worldwide investors from Europe, China, and Japan. While Korea’s KOSPI has risen by an annual average of about 0.8% since early 2012, the S&P500 has averaged about 17% growth. U.S. stocks, being dollar-denominated, can provide a hedge effect when risk asset values decline.

    ‘Market Now’ broadcasts on KBS 1TV at 10:55 PM on Mondays and 10:50 PM Tuesday through Friday on NewslineW, offering viewers insights into U.S. economic and industrial trends.

  • Waiker develops AI technology specialized in stock market data and partners with LSEG for global data business

    Waiker develops AI technology specialized in stock market data and partners with LSEG for global data business

    Waiker announced on October 4th that it has entered into an exclusive Proof of Concept (PoC) contract with the London Stock Exchange Group (LSEG) to provide AI data services based on Large Language Model (LLM) to global investment banks, including Citi, HSBC, and Nomura. Starting from the fourth quarter, Waiker’s data services will be gradually supplied to LSEG’s global clients through the PoC contract.

    Founded in 2020, Waiker has developed AI NLP (natural language processing) models specialized in stock market data that accurately and swiftly convert target data from global companies’ various disclosures, investor relations, and news articles into its databases. Previously, Waiker entered into a Memorandum of Understanding (MoU) with Refinitiv, the world’s second-largest stock market data production and distribution company, now a subsidiary of LSEG. The startup has undergone technological verification for 15 months to validate its AI data extraction, accuracy, speed, and performance.

    Waiker CEO Elvin Hwang stated, “The contract signed with LSEG stipulates that target data from disclosures, news, and reports within the digital environment will be processed with AI and conveniently provided according to the demands of potential clients, including securities firms and asset management companies.” He added, “LSEG currently has over 40,000 clients, which implies that the product supply will be targeted towards these clients.”

    Over years of extensive R&D on NLP, Waiker has gained recognition for its potential within specialized fields compared to general-purpose LLMs. Company disclosures including business contracts, management decisions, M&A, and changes in beneficial ownership are unstructured, typically centering on text and including numbers and facts, thereby causing irregularities and ambiguities. Compared to data stored in database cell formats or annotated data within documents, it is nearly impossible to analyze and collect this information in one’s database through simple crawling or scraping.

    Therefore, the added value of such data is significant when utilized by securities and asset management industries, resulting in annual cost expenditures of hundreds of thousands of dollars per corporate client. Waiker AI will provide data according to client demand, automatically analyzing and datafying unstructured information into various languages including English and Korean, via over 7B training data.

    Waiker anticipates that the PoC and joint business contract will serve as a catalyst for its global revenue growth. The collaboration between LSEG and Waiker’s specialized Large Language Model (sLLM), which can datafy unstructured information of listed companies in major stock markets including the United States, India, Japan, China, and South Korea, is expected to establish global presence and serve as an opportunity to enhance mutual benefits for both companies.

  • Waiker’s AI Reporter ‘Seohakgaemi-Bot’ Achieves 11.2M Views in First Year

    Waiker’s AI Reporter ‘Seohakgaemi-Bot’ Achieves 11.2M Views in First Year

    Waiker’s AI-powered ‘Seohakgaemi-Bot’ celebrates its one-year milestone of providing real-time financial news to Chosun Ilbo readers, reaching 11.2 million cumulative page views and publishing an average of 204 articles daily on US stock market developments.

    The AI system processes non-standardized SEC filings, overcoming language barriers and format variations that typically challenge non-English speaking investors. Through advanced machine reading and natural language processing, Waiker’s technology analyzes unstructured information in just 8 seconds, delivering immediate article distribution after SEC filings.

    Beyond serving readers, Seohakgaemi-Bot enhances newsroom efficiency by allowing reporters to focus on deeper investment analysis rather than basic information gathering. The system has consistently outpaced global media outlets like Bloomberg in breaking major stories, including Elon Musk’s Tesla share sale and SoftBank’s Coupang divestment.

    Waiker plans to expand its AI news service with broader stock market coverage and pursue global partnerships for AI-driven content projects.

  • Waiker AI Leads Global Reporting of Warren Buffett’s $352M Occidental Petroleum Investment

    Waiker AI Leads Global Reporting of Warren Buffett’s $352M Occidental Petroleum Investment

    Waiker’s ‘Seohakgaemi-Bot,’ in partnership with Chosun Ilbo, demonstrated its advanced reporting capabilities by breaking news of Berkshire Hathaway’s stake purchase in Occidental Petroleum on September 29, 2022, outpacing Reuters by 25 minutes.

    The AI system reported the $352 million transaction at 8:52 AM KST under the headline ‘Indirect Purchase of Occidental Petroleum Shares by a Stakeholding Corporation.’ Reuters followed at 9:16 AM KST, during which time Occidental Petroleum’s stock rose 3.2%.

    The transaction involved Berkshire Hathaway purchasing 5,985,190 common shares at an average price of $58.89 through a trust agreement from September 26-28, 2022. This followed the July 11 FERC approval allowing Berkshire to acquire up to a 50% stake in the company.

    This achievement builds on Seohakgaemi-Bot’s previous success in reporting Elon Musk’s Tesla stock sale in November 2021, showing improved performance with a 25-minute lead time compared to the previous 20-minute advantage.

  • Waiker Wins 2022 Korea Technology Patent Award for AI-Driven Financial Data Innovation

    Waiker Wins 2022 Korea Technology Patent Award for AI-Driven Financial Data Innovation

    Waiker, an AI-focused global stock market data startup, has received recognition at the 2022 Korea Technology Patent Awards from the Korea Intellectual Property Information Institute (KIPI) for its ‘Integrated Model and Apparatus Extracting Information from Documents Using Artificial Intelligence.’

    The prestigious award, which celebrates outstanding patent technologies in South Korea, acknowledged Waiker’s innovative approach to processing financial data. The company’s portfolio includes 15 technology patents covering natural language processing, machine comprehension, big data engineering, and data mining.

    Waiker has successfully built a database encompassing over 70,000 listed companies worldwide. The company’s AI technology addresses a critical market challenge: the non-standardized nature of US-listed company disclosures, which vary by company, disclosure type, and period. While traditional market leaders like Bloomberg still rely on manual processing, Waiker’s AI technology automates data collection and analysis, reducing errors and improving efficiency.

    The company provides customized services including real-time AI-generated articles and tailored newsletters. Their focus extends beyond basic market data to deliver an “exceptional data experience” through enhanced UX/UI, serving diverse clients including securities firms and asset management companies.

  • LSEG Refinitiv Partners with Waiker to Transform Global Financial Data Services

    LSEG Refinitiv Partners with Waiker to Transform Global Financial Data Services

    LSEG Refinitiv, a global financial data leader, has formed a strategic partnership with AI startup Waiker to revolutionize SaaS solutions in the global financial data market.

    Refinitiv, acquired by the London Stock Exchange Group for $27 billion in 2021, serves over 40,000 financial institutions with annual revenue of $6.25 billion. The company employs approximately 20,000 people worldwide, specializing in financial data processing and analysis.

    Waiker has distinguished itself by addressing long-standing UX/UI challenges in stock market data services, processing data for over 70,000 listed stocks across 12 nations. The partnership will focus on developing integrated services for global stock data digital transformation, SaaS solutions, and AI applications, leveraging LSEG Refinitiv’s extensive financial institutional network.

    “Waiker’s real-time stock market data processing technology and AI capabilities have proven their global potential,” said Kim Seok-jun, CEO of Refinitiv Korea. “We anticipate co-innovation in the data industry, which is fundamental to finance.”

    Elvin Hwang, Waiker’s CEO, emphasized the partnership’s significance: “We will leverage Refinitiv’s 170-year history, global network of 40,000 financial institutions, and comprehensive data resources to accelerate our global expansion and drive mutual growth.”