Bekanntmachung • Mar 11

Appier Research Unveils Agentic AI Breakthrough: A Risk-Aware Decision Framework

Appier announced new research advancing the reliability of Agentic AI systems. To expand the impact of its research and development efforts, Appier's AI research team continues to focus on frontier topics in Agentic AI and Large Language Models (LLMs), exploring forward-looking technical challenges that push the boundaries of marketing technology innovation. The research addresses a key challenge in deploying Agentic AI in enterprise environments: ensuring that autonomous AI decisions are trustworthy. The findings further strengthen Appier's technological leadership in AI while contributing practical insights for the broader Agentic AI ecosystem. As an AI-native Agentic AI-as-a-Service (AaaS) company, Appier continues to translate cutting-edge research into enterprise-ready methodologies and product capabilities. This study specifically addresses two major enterprise concerns: AI hallucinations and decision reliability. To tackle this challenge, the research introduces a Risk-Aware Decision-Making framework that converts LLM decisions across varying risk conditions into quantifiable metrics, providing a stronger governance foundation for enterprise AI deployment. Turning Risk-Aware Strategies into Quantifiable Metrics: Traditional LLM evaluations focus primarily on whether an answer is correct. In enterprise environments, however, the cost of being wrong and the value of refusing to answer differ significantly. The study introduces structured risk parameters—including rewards for correct answers, penalties for incorrect responses, and costs for refusal—to simulate different risk scenarios. Under this framework, models must evaluate their capability, confidence level, and risk conditions before deciding whether to answer, refuse, or guess. Decision quality is then measured by whether the model maximizes expected reward, providing a more realistic assessment of strategic decision-making; Key Finding: Strategic Imbalance in Existing Models: Using the Risk-Aware Decision-Making framework, the research finds that many leading LLMs display strategic imbalance across risk scenarios. In high-risk settings, models often over-guess despite potential negative consequences. In low-risk scenarios, they may become overly conservative and refuse to answer too frequently. This inconsistency limits both the autonomy and safety of AI systems in enterprise environments. The study suggests the issue is not purely knowledge-related but stems from the model's difficulty in integrating multiple capabilities into a stable decision strategy; Skill Decomposition Enables More Optimal Decisions: To address this challenge, the research proposes a Skill Decomposition approach, breaking decision-making into three steps: Task Execution — solving the task to generate an initial answer; Confidence Estimation — evaluating confidence in that answer; Expected-Value Reasoning — reasoning about outcomes under risk conditions.

Bekanntmachung • Dec 14

Appier launches AIRIS, the next-gen AI-powered CDP leveraging first-party data to activate MarTech applications

Appier announced the launch of AIRIS, the next-generation AI-powered CDP to support brands and marketers to achieve the fastest time-to-insight with smarter decision-making and execution by leveraging its advanced AI and Machine Learning technologies. This launch comes following its acquisition of Woopra in October and is a combination of AIXON's advanced user-centric predictive AI capabilities with Woopra's superior data analytics and intuitive data visualization to help enterprises turn data to insight, and insights to action and results. The name AIRIS is derived from the word "iris", which strongly reflects its visualization features that will empower enterprises to identify customers precisely and generate timely predictive insights. AIRIS meets the current pain points of shorter time-to-insights and prediction requests that enterprises need to maximize their campaign ROIs to better respond to market challenges. Appier completing the integration just two months after the Woopra acquisition is a strong demonstration of its position as a leading AI SaaS company. AIRIS is available across Asia Pacific in English, Japanese, and Traditional Chinese with flexible and scalable pricing packages to suit enterprises of all sizes. Fragmented and missing data are some of the key reasons driving the higher costs of personalization for brands. What enterprises care about the most is usually the hardest to predict. With the next-generation CDP AIRIS, enterprises can integrate and synchronize customer data via one-click integrations and analyze every touch point throughout the customers' journeys to gain more insights. With its AI-powered prediction capability, enterprises can now create more campaigns that have a higher likelihood of being received well by customers, unleashing the full benefits of a CDP to maximize business value and impact. Brands and marketers stand to benefit from AIRIS in the following five ways: 1. Increase the value of first-party data and empower data storytelling: In response to several restrictions around the use of third-party data, AIRIS can seamlessly integrate various data sources, including existing cloud databases, online and offline sales data, and user data across web, app, messenger, and more than 50 external platforms to establish user-centric and comprehensive 360-degree customer views. Brands will be able to tell stories with data by visualizing customers' purchase intent, preferences, and decision-making tendencies. With the inferred data insights and AI extrapolations, enterprises will now be able to tailor more effective and personalized marketing strategies. 2. Grant a higher level of autonomy and flexibility for marketers:Without data science capabilities, it is hard for marketers to quickly develop marketing strategies and directions. AIRIS is equipped with several marketer-friendly features, such as defining user attributes in one-click, plug-and-play set-up, and low-code/no-code interface so that marketers can easily gain insights to make decisions and plan activities without the help of IT, data scientists, or manual data analysis. This advantage is even more crucial in the current post-Covid era, as it can solve marketers' challenges fundamentally to help them cope with the fast-changing market environment. 3. Data visualization is like a gold mine of insights: Through built-in user-centric and intuitive analysis templates, AIRIS can visualize the impact on the user at every touchpoint, supporting marketers to analyze long-term cohort behaviors through timeframe, segment, retention, and churn rate analysis, and find out the correlations and insights. For example, marketers can analyze campaign performance and its correlations and uplift cues by browsing "how many users are repeatedly making purchases after they sign up", observing "the changes in monthly revenue after adopting a specific coupon delivery campaign", and analyzing "users' revisit, interaction, and purchase behavior for several months after sign up". 4. Preview and predict performance before investment to maximize ROI: AIRIS can tag onsite visitors with more than 500 predictive user attributes in real-time, allowing marketers to quickly tailor engagement and prediction models through an automated Machine Learning platform to create more campaigns that are received well by customers. With AIRIS, marketers can also predict before investment by reviewing the correlations between marketing activity and sales growth, as well as getting to know why a customer stopped its journey on a specific channel. By predicting users who have higher chances to purchase or with a higher chance to churn, marketers can retarget high-value customers and customize product recommendations or coupon delivery to further enhance campaign performance and optimize their return on investment. 5. Responding to data privacy regulations to ensure user data security: Growing concerns about data privacy from customers and regulations regarding data privacy have set up a higher compliance standard for enterprises. Enterprises are now being requested to review and delete user data when users ask for the "Right to be forgotten (RTBF)". Adopting AIRIS can enable enterprises to manage users' cookie consent easily and maximize the value of data while respecting users' data privacy for further analysis and campaign usage. Appier has always been committed to protecting every client's and their customer's data and has also been transparent in how data is being collected, utilized, and shared. Ensuring user data security while fulfilling the needs of data processing for enterprises of all sizes is of the utmost importance for Appier. AIRIS's powerful and highly customizable features can simplify routine marketing tasks. Coupled with Appier's strong AI-powered prediction and analytics capability, AIRIS can further enrich data or bridge gaps in marketing campaigns. Marketers can now focus on tasks that matter the most and stay aligned with the organization's strategic goals while paying close attention to their customer's needs and experiences to truly empower first-party data-centric solutions and activate the power of MarTech applications.

Prozentsatz des Geschäftsführergehalts	n/a
Amtszeit als Geschäftsführer	7.3yrs
Eigentum des Geschäftsführers	1.4%
Durchschnittliche Amtszeit des Managements	keine Daten
Durchschnittliche Amtszeit der Vorstandsmitglieder	7yrs

Name	Position	Amtszeit	Vergütung	Eigentümerschaft
Chih-Han Yu	Co-Founder	7.3yrs	keine Daten	1.38% ¥ 1.4b
Wan-Ling Lee	Co-Founder	7.3yrs	keine Daten	1.63% ¥ 1.7b
Chia-Yung Su	Co-Founder	7.3yrs	keine Daten	3.88% ¥ 3.9b
Jing-Ting Tu	Senior VP of Global Sales & Director	6.8yrs	keine Daten	0.14% ¥ 141.0m
Ching-Hua Ho	Independent Outside Director	4.2yrs	keine Daten	keine Daten
Takashi Motomura	Independent Outside Director	6.8yrs	keine Daten	keine Daten
Lee-Feng Chien	Independent Outside Director	7.3yrs	keine Daten	keine Daten
Jo-Fan Yu	Independent Outside Director	1.2yrs	keine Daten	keine Daten

Daten	Zuletzt aktualisiert (UTC-Zeit)
Unternehmensanalyse	2026/05/08 22:31
Aktienkurs zum Tagesende	2026/05/08 00:00
Gewinne	2025/12/31
Jährliche Einnahmen	2025/12/31

Paket	Daten	Zeitrahmen	Beispiel US-Quelle ^*
Finanzdaten des Unternehmens	10 Jahre	Gewinn- und Verlustrechnung Kapitalflussrechnung Bilanz	SEC-Formular 10-K SEC-Formular 10-Q
Konsensschätzungen der Analysten	+3 Jahre	Finanzielle Vorausschau Kursziele der Analysten	Analysten Research Berichte Blue Matrix
Marktpreise	30 Jahre	Aktienkurse Dividenden, Splits und Aktionen	ICE-Marktdaten SEC-Formular S-1
Eigentümerschaft	10 Jahre	Top-Aktionäre Insiderhandel	SEC-Formular 4 SEC-Formular 13D
Verwaltung	10 Jahre	Das Führungsteam Direktorium	SEC-Formular 10-K SEC-Formular DEF 14A
Wichtige Entwicklungen	10 Jahre	Ankündigungen des Unternehmens	SEC-Formular 8-K

Analyst	Einrichtung
Leo Mochizuki	BofA Global Research
null null	Daiwa Securities Co. Ltd.
Masayuki Abe	Daiwa Securities Co. Ltd.

Appier Group Management

Management Kriterienprüfungen 1/4

Wichtige Informationen

Jüngste Management Updates

Appier Group, Inc., Annual General Meeting, Mar 27, 2026

Appier Group, Inc., Annual General Meeting, Mar 27, 2025

Appier Group, Inc., Annual General Meeting, Mar 27, 2024

Insufficient new directors

Appier Group, Inc., Annual General Meeting, Mar 29, 2023

Less than half of directors are independent

Recent updates

Price target decreased by 35% to JP¥880

Appier Group, Inc. to Report Q1, 2026 Results on May 13, 2026

Investor sentiment improves as stock rises 16%

Investor sentiment deteriorates as stock falls 15%

Appier Research Unveils Agentic AI Breakthrough: A Risk-Aware Decision Framework

Investor sentiment deteriorates as stock falls 27%

Now 22% undervalued after recent price drop

Appier Group, Inc. Just Missed Earnings - But Analysts Have Updated Their Models

The Price Is Right For Appier Group, Inc. (TSE:4180) Even After Diving 30%

New major risk - Share price stability

New minor risk - Profit margin trend

Full year 2025 earnings: EPS misses analyst expectations

Appier Group, Inc., Annual General Meeting, Mar 27, 2026

Price target decreased by 17% to JP¥1,755

Appier Group, Inc. to Report Q4, 2025 Results on Feb 13, 2026

Upcoming dividend of JP¥2.25 per share

Should You Think About Buying Appier Group, Inc. (TSE:4180) Now?

Now 20% overvalued

Appier Group's (TSE:4180) Earnings Are Weaker Than They Seem

Earnings Report: Appier Group, Inc. Missed Revenue Estimates By 5.1%

Third quarter 2025 earnings released: EPS: JP¥10.50 (vs JP¥7.97 in 3Q 2024)

Returns Are Gaining Momentum At Appier Group (TSE:4180)

Investor sentiment deteriorates as stock falls 17%

Earnings Tell The Story For Appier Group, Inc. (TSE:4180)

Appier Announces Full Product Line Infused with Agentic AI, Ushering in a New Era of ROI Driven Marketing Solutions

Appier Group, Inc. to Report Q3, 2025 Results on Nov 14, 2025

New major risk - Earnings quality

Dividend increased to JP¥2.25

Second quarter 2025 earnings released: EPS: JP¥5.48 (vs JP¥3.62 in 2Q 2024)

We Ran A Stock Scan For Earnings Growth And Appier Group (TSE:4180) Passed With Ease

Appier Group, Inc. to Report Q2, 2025 Results on Aug 14, 2025

First quarter 2025 earnings released: EPS: JP¥0.34 (vs JP¥0.56 in 1Q 2024)

Should You Think About Buying Appier Group, Inc. (TSE:4180) Now?

Appier Group's (TSE:4180) Returns On Capital Are Heading Higher

Appier Group, Inc.'s (TSE:4180) Share Price Is Still Matching Investor Opinion Despite 25% Slump

Investor sentiment deteriorates as stock falls 21%

Full year 2024 earnings: EPS exceeds analyst expectations while revenues lag behind

Appier Group, Inc. to Report Q1, 2025 Results on May 15, 2025

These 4 Measures Indicate That Appier Group (TSE:4180) Is Using Debt Reasonably Well

Appier Group, Inc. (TSE:4180) acquired AdCreative.ai SAS.

Investor sentiment deteriorates as stock falls 17%

Investors Shouldn't Be Too Comfortable With Appier Group's (TSE:4180) Earnings

Appier Group, Inc. Just Beat Earnings Expectations: Here's What Analysts Think Will Happen Next

Full year 2024 earnings: EPS exceeds analyst expectations while revenues lag behind

Appier Group, Inc. Provides Consolidated Earnings Guidance for the Year Ending December 31, 2025

Appier Group, Inc. Provides Dividend Guidance for the Year Ending December 31, 2025

Appier Group, Inc., Annual General Meeting, Mar 27, 2025

New major risk - Share price stability

Revenues Tell The Story For Appier Group, Inc. (TSE:4180) As Its Stock Soars 27%

Appier Group, Inc. (TSE:4180) agreed to acquire ADYOUNEED Corp. from Alexandre Leciel and others for 27.3 million.

Does Appier Group (TSE:4180) Deserve A Spot On Your Watchlist?

Appier Group, Inc. to Report Fiscal Year 2024 Results on Feb 14, 2025

Price target decreased by 8.4% to JP¥2,113

Appier Group, Inc. (TSE:4180) Third-Quarter Results Just Came Out: Here's What Analysts Are Forecasting For Next Year

Third quarter 2024 earnings released: EPS: JP¥7.97 (vs JP¥2.96 in 3Q 2023)

Appier Group, Inc. Revises First Dividend Guidance for the Year Ending December 31, 2024

Appier Group, Inc. to Report Q3, 2024 Results on Nov 12, 2024

Statutory Earnings May Not Be The Best Way To Understand Appier Group's (TSE:4180) True Position

Appier Group, Inc.'s (TSE:4180) 26% Jump Shows Its Popularity With Investors

Second quarter 2024 earnings released: EPS: JP¥3.61 (vs JP¥1.13 in 2Q 2023)

Appier Group, Inc. (TSE:4180) announces an Equity Buyback for 1,000,000 shares, representing 0.98% for ¥1,000 million.

Is Appier Group (TSE:4180) A Risky Investment?

The Return Trends At Appier Group (TSE:4180) Look Promising

First quarter 2024 earnings released: EPS: JP¥0.56 (vs JP¥0.33 loss in 1Q 2023)

Appier Group (TSE:4180) Seems To Use Debt Quite Sensibly

Appier Group, Inc. to Report Q1, 2024 Results on May 14, 2024

Consensus EPS estimates fall by 13%

Full year 2023 earnings: EPS exceeds analyst expectations

Appier Group, Inc., Annual General Meeting, Mar 27, 2024