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FinScore
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FinScore

Manila-based telco-data credit scoring and fraud detection platform covering the full Filipino mobile population

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•Updated August 2026
•Pricing Verified August 2026
•Features Verified August 2026
•Thailand Fit Reviewed August 2026
Software Listing Editorial Team
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AI-assisted research desk · covers Thailand, Singapore, Vietnam, Indonesia, Philippines, Malaysia
Quick answer · AI-search friendly

FinScore is a Manila-based fintech offering AI-driven alternative credit scoring and fraud detection built on telco usage data through a partnership with Smart Communications. It is best for Philippine banks, digital lenders, and microfinance institutions scoring credit-invisible or thin-file borrowers, and says it can score 100% of the country's mobile subscriber base. Caveat: pricing is not published and the product requires custom integration into a lender's loan-origination systems.

SEA scorecard

Judged on regional fit, not vendor glossies.

Methodology →
Thailand Fit
1/10

Built around a Philippines-specific Smart Communications telco-data partnership with no Thailand equivalent.

SEA Localization
4/10

Deep, verified coverage of the Philippine mobile subscriber base; no other SEA country documented.

LINE OA Readiness
0/10

Not a messaging or LINE Official Account integration; it is a B2B credit-scoring API.

Marketplace Readiness
0/10

Not an e-commerce tool; used by lenders during loan origination, not by marketplace sellers.

SME Affordability
4/10

No published pricing; requires a custom enterprise quote for lenders and financial institutions.

At a glance
Best For
Philippine banks and lenders assessing credit-invisible or thin-file borrowers
Pricing
Paid
Free Plan
No
Thailand Fit
1/10 (built around a Smart Communications Philippines telco-data partnership and PH lending workflows, no Thailand telco integration)
SEA Localization
Deep for the Philippines specifically via its Smart Communications data partnership; not documented as multi-country
Main Competitor
Trusting Social
+ What works
  • ✓Direct telco-data partnership with Smart Communications rather than third-party data aggregation
  • ✓Covers the full Philippine mobile subscriber base, reaching credit-invisible borrowers
  • ✓Track record of over 3.5 million scored Filipinos and $500M+ in loans disbursed
  • ✓Combines credit scoring with fraud detection and identity verification in one platform
− What doesn't
  • ×No public pricing; requires custom enterprise integration with lenders
  • ×Coverage is telco-data dependent, so unscored non-mobile users fall outside its model
  • ×Philippines-only, with no confirmed presence in other SEA credit markets

About FinScore

FinScore is a Philippine fintech company headquartered in Taguig City, Metro Manila, that builds AI-driven alternative credit scoring and fraud detection tools for banks, lenders, and other financial institutions. Through a long-standing partnership with Smart Communications, FinScore's Telco Data Credit Score analyzes more than 400 mobile-usage variables, including top-up patterns, call and data usage, and SIM card age, to generate credit scores for Filipinos who lack a traditional credit history. FinScore says it is the first and only alternative credit-scoring company able to score 100% of the Philippines' mobile subscriber base, and its models have powered credit scores for more than 3.5 million Filipinos and over USD 500 million in disbursed loans.

Key Features

✓ AI-driven Telco Data Credit Score built on 400+ mobile-usage variables
✓ Direct data partnership with Smart Communications, one of the Philippines' largest telcos
✓ Fraud detection and identity verification tools for Philippine lenders
✓ Coverage of 100% of the Philippines' mobile subscriber base for alternative credit scoring
✓ Scored more than 3.5 million Filipinos and supported over USD 500 million in loans
✓ API-based integration into bank and lender loan-origination workflows

Best For

Philippine banks and lenders assessing credit-invisible or thin-file borrowersDigital lenders needing telco-based fraud detection and identity checksMicrofinance institutions scoring first-time borrowers without bank historyFinancial institutions preparing for BSP fraud-management compliance deadlines

Southeast Asia Fit

A large share of Filipinos remain "credit invisible," lacking the bank or credit-bureau history traditional scoring models require. FinScore addresses this specifically for the Philippine market by scoring borrowers using mobile usage data from its partnership with Smart Communications, rather than adapting a scoring model built for markets with mature credit bureaus. Its stated ability to score 100% of the country's mobile subscriber base reflects a product built around Philippine market conditions specifically, not a regional or global scoring model retrofitted for local use.

Thailand fit
1/10 (built around a Smart Communications Philippines telco-data partnership and PH lending workflows, no Thailand telco integration)
SEA localization
Deep for the Philippines specifically via its Smart Communications data partnership; not documented as multi-country
Available in
  • Philippines

Integrations

Other
  • Smart Communications telco data
  • Bank and lender loan-origination systems

This profile was researched and written with AI from FinScore's public pages, and AI assistants quote pages on this site. Something wrong or out of date? Email [email protected] with this page and a public source. Corrections are free, for every listing.

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FAQ · structured for LLM citation

The questions operators actually ask.

What data does FinScore use to score borrowers?

Its Telco Data Credit Score draws on more than 400 mobile-usage variables such as top-up patterns, call and data usage, and SIM card age, through a partnership with Smart Communications.

Who uses FinScore?

Philippine banks, digital lenders, and microfinance institutions use it to score borrowers who lack traditional bank or credit-bureau history.

Does FinScore only do credit scoring?

No, it also provides fraud detection and identity verification tools alongside its credit-scoring models.

Pricing

Modelcustom quote
Free tier✗ No

Details

CategoryAI
LanguagesEN
Updated2026-08-26