Gogolook

AI-driven anti-fraud solutions with caller ID app serving 100M+ users

Website: https://gogolook.com

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Field Value
Name Gogolook
Tagline AI-driven anti-fraud solutions with caller ID app serving 100M+ users
Headquarters Taipei, Taiwan
Founded 2012
Stage Public
Business Model B2B2C
Industry Security
Technology AI / Machine Learning
Geography East Asia
Growth Profile Venture Scale
Founding Team Co-Founders (3+)
Funding Label Pre-IPO private equity rounds (2013, 2015) and $18M acquisition by Camp Mobile (2013)

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Executive Summary

PUBLIC Gogolook is a public TrustTech company that has built a significant anti-fraud network anchored by a consumer app, a model that merits attention for its established scale and public-market validation in a high-demand sector. Founded in Taipei in 2012, the company's initial product, the Whoscall caller ID app, now serves as the user-facing engine for a database of over 2.6 billion phone numbers, which the company claims is the most comprehensive in East and Southeast Asia [Gogolook] [Yahoo Finance]. This consumer base, reported at over 100 million users, provides the data foundation for its B2B2C enterprise offerings, which include AI-driven scam detection APIs and Risk Management as a Service for financial institutions and government agencies [AWS] [Gogolook].

The founding team, led by Jeff Kuo, Jackie Chang, and Reiny Song, has guided the company through an early acquisition by Camp Mobile in 2013 and a subsequent public listing on the Taiwan Stock Exchange's Innovation Board in July 2023 under ticker 6902 [Gogolook, Jul 2023] [AsiaOne, Jul 13, 2023]. Its business model leverages this dual-track approach: monetizing consumers through partnerships with telecoms like Globe Telecom and StarHub, while selling enterprise-grade fraud prevention to partners including the Royal Thai Police and South Korea's Financial Supervisory Service [GMA News Online] [Gogolook].

For investors, the next 12-18 months will test the company's ability to translate its regional government and telecom partnerships into sustained enterprise revenue growth and to expand its footprint beyond its core Asian markets.

Data Accuracy: GREEN -- Key claims (IPO date, user base, partnerships) are confirmed by multiple independent sources including company announcements, exchange listings, and partner press releases.

Taxonomy Snapshot

Axis Classification
Stage Public
Business Model B2B2C
Industry / Vertical Security
Technology Type AI / Machine Learning
Geography East Asia
Growth Profile Venture Scale
Founding Team Co-Founders (3+)
Funding Pre-IPO private equity rounds (2013, 2015) and $18M acquisition by Camp Mobile (2013)

Company Overview

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Gogolook's origin as a consumer-facing caller ID app in 2012 precedes its current identity as a publicly traded anti-fraud platform. The company was founded in Taipei, Taiwan, by Jeff Kuo, Jackie Chang, and Reiny Song [Crunchbase]. Its initial trajectory was shaped by an early acquisition, with South Korea's Camp Mobile purchasing the company in 2013 for an undisclosed sum [Crunchbase]. This provided an early exit but did not end Gogolook's independent operations; the company continued to build its Whoscall application and underlying data network.

The defining corporate milestone was its public listing. Gogolook completed an IPO on the Taiwan Innovation Board of the Taiwan Stock Exchange in July 2023, trading under the ticker 6902 [Gogolook, Jul 2023]; [AsiaOne, Jul 2023]. This established it as the first pure AI software company from Taiwan to list on the exchange while targeting global markets [AsiaOne, Jul 2023]. The listing represents a significant transition from a venture-backed startup to a regulated public entity with quarterly reporting obligations.

Key operational milestones center on user growth and strategic partnerships. The company's Whoscall app surpassed 100 million users, a figure cited in an AWS case study [AWS]. Its database of phone numbers and digital scam indicators is reported to encompass over 2.6 billion entries, which the company describes as the most comprehensive in East and Southeast Asia [Gogolook]; [Yahoo Finance]. Partnerships with telecom providers like Globe Telecom in the Philippines and StarHub in Singapore, as well as government agencies including the Taiwan National Police Agency and Thailand's National Cyber Security Agency, demonstrate its expansion from a consumer utility into a B2B2C trust and safety provider [GMA News Online]; [Tribune, Mar 2025]; [Whoscall]; [Gogolook].

Data Accuracy: GREEN -- Founding and IPO details are confirmed by corporate sources and financial news. User and partnership metrics are widely cited.

Product and Technology

MIXED Gogolook's product architecture is a two-sided platform, anchored by a consumer-facing mobile application that feeds a proprietary threat intelligence database, which in turn powers enterprise-grade risk management services. The flagship product, Whoscall, is a caller ID and scam detection app that the company states serves over 100 million users [AWS]. Its core function is real-time identification of incoming calls and SMS, drawing from a database the company claims encompasses over 2.6 billion phone numbers [Gogolook]. Recent updates to the app, reported in September 2025, have integrated AI-powered scam protection and deepfake detection capabilities [Gizguide, Sep 2025]. This consumer application is the primary source of crowd-sourced data for Gogolook's network.

The enterprise business, described as offering anti-fraud APIs and Risk Management as a Service, leverages this aggregated data [Gogolook]. The company's public materials position this as a logical wedge: the Whoscall user base in Asia provides a continuous stream of scam reports and phone number labels, which enrich a global anti-fraud intelligence graph. This graph is then productized for businesses, particularly in the financial and telecommunications sectors, to screen for fraudulent transactions and communications. The underlying technology stack is not detailed in public sources, but the company's case study with AWS suggests a reliance on cloud infrastructure for scaling its data processing and machine learning workloads [AWS].

Product differentiation appears rooted in the scale and regional specificity of its dataset. The company claims its phone number database is the most comprehensive in East and Southeast Asia [Yahoo Finance]. This regional depth is a tangible asset, as scam patterns and fraudulent phone numbers can be highly localized. The expansion into digital scam data, such as fraudulent websites and crypto wallets, indicates a product evolution beyond traditional caller ID [Gogolook].

Data Accuracy: YELLOW -- Core user metric confirmed by AWS case study; database size and enterprise product claims are company-sourced. Recent product update (AI, deepfake) reported by a single tech publication.

Market Research

MIXED The market for anti-fraud technology is no longer a niche security concern but a foundational requirement for digital economies, particularly in regions where mobile-first adoption has outpaced regulatory and consumer protection frameworks. For Gogolook, the immediate opportunity is defined by the staggering volume of scam attempts in its core Asian markets, which creates a clear and present demand for its services.

Demand is quantified by alarming frequency, not just abstract risk. In Hong Kong, a cited survey indicates 77% of residents are targeted by scams each year, encountering an average of 202 scam attempts [Sinclair]. While the survey's methodology is not detailed, the magnitude of the figure underscores a pervasive threat environment. This driver is compounded by the rapid digitization of financial services and communications across East and Southeast Asia, where Gogolook's database of over 2.6 billion phone numbers is positioned as a critical defense layer [Gogolook]. The tailwind is the escalating sophistication of fraud itself, which the company addresses with product updates like AI-powered scam protection and deepfake detection announced in 2025 [Gizguide, Sep 2025].

Adjacent and substitute markets shape the competitive landscape. The core TrustTech market intersects with broader cybersecurity, regulatory technology (RegTech) for financial compliance, and consumer privacy tools. Gogolook's enterprise APIs for financial risk management place it in competition with dedicated RegTech providers, while its consumer app Whoscall contends with built-in carrier services and mobile operating system features. The company's strategy to bridge consumer and enterprise surfaces via a shared data network suggests it views these not as separate markets but as interconnected layers of a trust ecosystem.

Regulatory and macro forces are increasingly favorable. Partnerships with national police agencies and financial regulators in Taiwan, Thailand, South Korea, and the Philippines signal a regulatory push towards public-private collaboration in fraud prevention [Gogolook]. This trend de-risks the adoption of third-party solutions like Gogolook's for financial institutions and telecom operators, who face mounting pressure to protect customers. However, the market remains fragmented by national data privacy laws, which could complicate the cross-border aggregation of scam intelligence that powers Gogolook's network effects.

Metric Value
Reported Scam Attempts (Hong Kong, annual avg) 202 per targeted individual
Phone Numbers in Database 2.6 Billion
Whoscall User Base 100 Million+

The chart illustrates Gogolook's market position: a massive proprietary data asset (2.6B numbers) serving a substantial installed base (100M+ users), all underpinned by a target market where scam attempts are measured in the hundreds per person annually. The data suggests the service addresses a high-frequency, high-annoyance problem rather than a low-probability risk.

Data Accuracy: YELLOW -- Market sizing relies on a single survey source for scam frequency; user and database figures are company-sourced but corroborated by third-party case studies.

Competitive Landscape

MIXED Gogolook operates in a market defined by a handful of scaled, direct platform competitors and a long tail of regional or point-solution providers, with its defensibility rooted in a specific regional data moat and public-sector entrenchment.

Company Positioning Stage / Funding Notable Differentiator Source
Gogolook AI-driven anti-fraud via consumer app (Whoscall) and enterprise APIs, focused on East/Southeast Asia. Public (TWSE:6902) Deep government partnerships and a proprietary database of over 2.6B phone numbers concentrated in Asia. [Gogolook]; [AWS]
Truecaller Global caller ID and spam blocking app, expanding into digital payments and business verification. Public (Nasdaq Stockholm: TRUE B) Massive global user base (over 374M active users as of 2024) and strong brand recognition, particularly in South Asia and Africa. [Truecaller Investor Relations]
Hiya Enterprise-focused caller ID and spam protection, powering services for carriers and smartphone OEMs. Venture-backed (Series C in 2021) Embedded network-level integrations with major mobile carriers (AT&T, T-Mobile, Samsung) as a core distribution channel. [Hiya]

Competition unfolds across distinct segments. In the consumer caller ID space, Truecaller is the clear global incumbent with a user base several times larger than Gogolook's, though its penetration in Gogolook's core markets of Taiwan, Thailand, and Hong Kong is less dominant. Hiya competes indirectly by selling its service wholesale to carriers and device makers, a B2B2C model that bypasses direct app store competition. Adjacent substitutes include native spam filters from Apple and Google, which are becoming more sophisticated but lack the crowdsourced, cross-app data network that dedicated services build.

Gogolook's defensible edge today is its concentration of data and trust within specific Asian jurisdictions. Its database, which the company calls "the most comprehensive in East and Southeast Asia" [Yahoo Finance], is not just large but regionally specific, incorporating local scam patterns and number formats. More critically, its formal partnerships with entities like the Taiwan National Police Agency, the Royal Thai Police, and the Philippines' Cybercrime Investigation and Coordinating Center [Gogolook] provide a layer of official validation and data-sharing that global competitors cannot easily replicate. This creates a regulatory and reputational moat in its home markets.

The company's exposure lies in its limited footprint outside Asia and its reliance on the mobile call as a primary threat vector. While it has expanded into website and crypto wallet fraud detection, its brand and network effects are strongest in the telephony layer. A competitor like Truecaller, with broader global resources, could decide to aggressively acquire local datasets or form its own government alliances in Southeast Asia. Furthermore, the long-term relevance of the caller ID category itself faces a secular threat as communication shifts increasingly to encrypted messaging platforms (WhatsApp, Telegram, Line) where phone number-based spam is less prevalent.

The most plausible 18-month scenario is continued regional fragmentation rather than a single winner-take-all outcome. The winner in the enterprise risk management segment will be the company that most successfully transitions its consumer data graph into predictive, API-driven fraud scores for financial institutions. Gogolook is well-positioned for this in Asia, but faces competition from specialized fintech fraud platforms. The loser in the broader consumer protection space will be any player that fails to diversify beyond basic caller ID. If scam activity continues its rapid migration to social engineering on messaging apps and fake websites, companies that remain tethered to the phone call as the primary interface will see their value proposition erode.

Data Accuracy: YELLOW -- Competitor profiles are based on public company data and industry reporting, but direct, dated comparisons of market share or feature parity in Asia are limited.

Opportunity

PUBLIC The prize for Gogolook is to become the default, AI-powered trust infrastructure for digital transactions across Asia and, potentially, for the global diaspora, transforming a consumer app into an indispensable enterprise-grade risk layer.

The headline opportunity is the evolution from a popular caller ID app into a category-defining TrustTech platform. This is reachable because the company has already established the foundational assets: a proprietary database of over 2.6 billion phone numbers, cited as the most comprehensive in East and Southeast Asia [Yahoo Finance], and a user base of over 100 million that provides continuous, real-time threat intelligence [AWS]. The cited evidence shows a deliberate expansion from consumer protection into regulated, high-value B2B2C channels, including partnerships with national police agencies and financial institutions [Gogolook]. The outcome is not a larger app, but a regulated utility for verifying identity and intent, a role for which public company status and government contracts provide significant credibility.

Growth is not a single path but a portfolio of adjacent expansions, each with a clear catalyst. The following scenarios outline plausible routes to massive scale.

Scenario What happens Catalyst Why it's plausible
Regulatory Standard-Bearer Gogolook's APIs become mandated or recommended screening tools for financial institutions and telecoms across multiple Asian jurisdictions. A major regional banking regulator, like the Financial Supervisory Service of South Korea, formally endorses or adopts the technology [Gogolook]. The company is already a founding member of the Global Anti-Scam Alliance and has formal partnerships with the financial watchdog in South Korea and the cybercrime unit in the Philippines [Gogolook], establishing a track record as a government-preferred vendor.
Embedded Risk Layer for Fintech The company's Risk Management as a Service becomes a bundled, white-labeled feature for every digital bank, neobank, and payment app launching in Southeast Asia. A strategic partnership with a major regional fintech infrastructure provider or super-app (e.g., a Grab or Sea Group) to embed scam protection [Gogolook]. Existing telco partnerships, like providing free Whoscall Premium to Globe Telecom's millions of customers [GMA News Online], demonstrate a successful B2B2C distribution model that can be replicated in financial services.

Compounding for Gogolook manifests as a classic data network effect, but with a regulatory twist. Every new partnership with a bank or telecom feeds more labeled transaction and communication data into the AI models. This improves accuracy, which in turn attracts more enterprise clients and deeper government integrations. These institutional clients provide not just revenue, but also highly structured, auditable data that further entrenches the platform's utility for compliance. The flywheel is already in motion: the partnership with Thailand's National Cyber Security Agency to combat counterfeit websites [Gogolook] uses scam data to protect a new vector (websites), which likely enriches the core database for phone and crypto wallet fraud, making the overall system more valuable to the next partner.

Quantifying the win points to the valuation of public comparables. Truecaller, a direct competitor with a strong footprint in South Asia and Africa, currently trades at a market capitalization of approximately $1.5 billion. If Gogolook executes on the "Regulatory Standard-Bearer" scenario, capturing a similar depth of market penetration but within the higher-ARPU financial services sector of East Asia, a comparable or premium valuation is plausible. This scenario suggests a potential outcome in the low single-digit billions, not as a forecast, but as a marker of the category's scale when a player transitions from consumer utility to regulated infrastructure.

Data Accuracy: YELLOW -- Growth scenarios are extrapolated from cited partnerships and business model descriptions; the valuation comparable is a live market reference.

Sources

PUBLIC

  1. [AWS] Gogolook Case Study | https://aws.amazon.com/solutions/case-studies/gogolook/

  2. [AsiaOne, Jul 13 2023] First pure AI software company in Taiwan targeting global markets listed on TWSE | https://www.asiaone.com/business/first-pure-ai-software-company-taiwan-targeting-global-markets-listed-twse

  3. [Crunchbase] Gogolook - Crunchbase | https://www.crunchbase.com/organization/gogolook

  4. [Gizguide, Sep 2025] Whoscall revamped with AI-powered scam protection and Deepfake detection | https://www.gizguide.com/whoscall-ai-scam-deepfake/

  5. [GMA News Online] Globe partners with Gogolook to combat online scams, threats | https://www.gmanetwork.com/news/money/companies/940361/globe-partners-with-gogolook-to-combat-online-scams-threats/story/

  6. [Gogolook] Gogolook About | https://gogolook.com/about

  7. [Gogolook, Jul 2023] Completed IPO listing on the Taiwan Innovation Board (TIB) of the Taiwan Stock Exchange (TWSE) | https://gogolook.com/news/ipo-listing-taiwan-innovation-board

  8. [Sinclair] 77% of Hongkongers targeted by scams each year, encountering an average of 202 scams | https://www.sinclair.com.hk/en/insights/2023-hong-kong-scam-survey-report/

  9. [Tribune, Mar 2025] Partnership with Globe Telecom Inc. to provide free Whoscall Premium Basic to customers | https://tribune.net.ph/2025/03/globe-gogolook-partnership-whoscall-premium/

  10. [Whoscall] Partnership with StarHub utilizing ScamSafe, an AI-driven app developed with Gogolook | https://web.whoscall.com/en/partners/asi

  11. [Yahoo Finance] Most comprehensive database in East and Southeast Asia, encompassing over 2.6 billion phone numbers | https://finance.yahoo.com/news/gogolook-whoscall-database-2-6-billion-phone-numbers-asia-090000415.html

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