Gogolook
AI-driven anti-fraud solutions with caller ID app serving 100M+ users
Website: https://gogolook.com
Cover Block
| 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) |
Links
- Website: https://gogolook.com
- LinkedIn: https://www.linkedin.com/company/gogolook
- Google Play: https://play.google.com/store/apps/details?id=gogolook.callgogolook2
- Investors Page: https://gogolook.com/investors/overview
- YouTube: https://www.youtube.com/watch?v=oQcOx-rjQi0
Summary and Signal
Gogolook is a public TrustTech company that has built a significant anti-fraud network anchored by a consumer app. 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 [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
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].
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].
Key operational milestones center on user growth and strategic partnerships. The company's Whoscall app surpassed 100 million users [AWS]. Its database of phone numbers and digital scam indicators is reported to encompass over 2.6 billion entries [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.
The Product and the Stack
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].
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.
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]. 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.
The Market They Are Entering
The market for anti-fraud technology is 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 volume of scam attempts in its core Asian markets.
Demand is quantified by frequency. In Hong Kong, a cited survey indicates 77% of residents are targeted by scams each year, encountering an average of 202 scam attempts [Sinclair]. 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].
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].
| 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+ |
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.
The Competitive Field
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 |
|---|---|---|---|
| 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. |
| 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. |
| 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. |
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. Hiya competes indirectly by selling its service wholesale to carriers and device makers. Adjacent substitutes include native spam filters from Apple and Google.
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 regionally specific. 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.
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
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 [Yahoo Finance], and a user base of over 100 million [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].
| Scenario | What happens | Catalyst |
|---|---|---|
| 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]. |
| 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 to embed scam protection [Gogolook]. |
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.
Data Accuracy: YELLOW -- Growth scenarios are extrapolated from cited partnerships and business model descriptions; the valuation comparable is a live market reference.
Sources
- [AWS] Gogolook Case Study | https://aws.amazon.com/solutions/case-studies/gogolook/
- [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
- [Crunchbase] Gogolook - Crunchbase | https://www.crunchbase.com/organization/gogolook
- [Gizguide, Sep 2025] Whoscall revamped with AI-powered scam protection and Deepfake detection | https://www.gizguide.com/whoscall-ai-scam-deepfake/
- [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/
- [Gogolook] Gogolook About | https://gogolook.com/about
- [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
- [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/
- [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/
- [Whoscall] Partnership with StarHub utilizing ScamSafe, an AI-driven app developed with Gogolook | https://web.whoscall.com/en/partners/asi
- [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
Articles about Gogolook
- Gogolook's 2.6 Billion Phone Numbers Land on the Government's Anti-Scam Dashboard — The Taiwanese TrustTech public company is using its Whoscall user base to sell enterprise risk APIs to police and banks across Asia.