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Honest AI

Category: AI in Fintech

A financial AI transition (AX) platform specializing in B2B SaaS risk management and Banking-as-a-Service (BaaS) automated lending solutions for institutional finance. Honest AI was founded in 2015. The company is led by Sang-hun Seo. Based in Seoul, South Korea. Team size: 50-100. Total funding raised: ₩52.8B. Latest round: Series B Extension (₩14.4B, Dec 2025). Key investors include AAK, Aton, Shinhan Bank, KB Investment, Hanwha Investment & Securities, Dunamu & Partners, Korea Development Bank (KDB).

Founded
2015
Headquarters
Seoul, South Korea
Team size
50-100
Total funding
₩52.8B

Value proposition

Reduces loan delinquency and credit loss costs by up to 60% while automating over 95% of the traditional lending workflow through proprietary AI-driven decision engines.

Products and solutions

Lending Intelligence: B2B SaaS AI credit scoring and risk management system, HonestFund: BaaS-based AI consumer lending platform (operating under financial sandbox), Credit Labs: Macroeconomic simulator for optimizing institutional lending strategies, AI Agent: Generative AI service for complex financial compliance and corporate evaluation, AI FDS: Big data-based fraud detection system for suspicious transaction monitoring

Unique value

Pioneered the transition from a P2P lender to a core technology provider for major banks, utilizing a high-performance AI engine that processes 300+ data points to evaluate credit-scarce individuals.

Target customer

Commercial banks (e.g., Jeju Bank), savings banks, online-linked (P2P) lenders, and financial institutions seeking to automate credit evaluation for 'thin-filers'.

Industries served

Banking & Fintech, Retail Finance, Enterprise Software (SaaS), Artificial Intelligence

Technology advantage

Maintains a proprietary AI-native Credit Scoring System (CSS) that bypasses traditional regulatory outsourcing hurdles through a specialized BaaS model approved via the Financial Regulatory Sandbox.

How they differentiate

Honest AI differentiates through its 'Lending Intelligence' solution, a full-stack B2B SaaS decision engine that automates over 95% of the lending workflow. Unlike basic scoring models, it provides a 'Predictive AI' framework that reduces credit loss costs by up to 60% and is approved via the Financial Regulatory Sandbox for 'Banking-as-a-Service' (BaaS) deployment.

Main competitors

PFC Technologies (formerly PeopleFund), 8Percent, KreditData

Key partnerships

Jeju Bank (Supply contract for AI decision engine), Shinhan Bank (Strategic investor and banking partner), Samsung Financial (Selected for 'C-Lab Outside' innovation program), KB Investment, Hanwha Investment & Securities (Venture capital partners)

Notable customers

Jeju Bank, FSC Financial Sandbox Partners, Various domestic Savings Banks

Major milestones

Transitioned from HonestFund (P2P) to Honest AI (B2B SaaS focus) in 2024, Won the Grand Prize at the Financial Services Commission (FSC) D-Testbed, Ranked 1st in the Samsung Financial C-Lab Outside innovation program, Successfully deployed 'Lending Intelligence' to Jeju Bank (Tier-1 institutional entry)

Growth metrics

Cumulative funding estimated at over 60 billion KRW (including undisclosed grants/minor rounds). Achieved 1,000+ daily loan applications for its BaaS platform and successfully secured a Tier-1 banking contract with Jeju Bank.

Market positioning

Specialized B2B AI Financial Transformation (AX) provider for Tier-1 and Tier-2 banks.

Geographic focus

South Korea (Primary), Southeast Asia (Expansion focus for BaaS lending models)

Patents and IP

Proprietary AI credit scoring algorithms and automated BaaS workflow frameworks (specific patent registry numbers are maintained as trade secrets but verified via Samsung C-Lab and FSC D-Testbed programs).

About Sang-hun Seo

Founder and CEO of Honest AI (formerly HonestFund) since 2015. Recognized in Forbes 30 Under 30 Asia (2017). Graduated as valedictorian from Seoul National University (Business Administration). Former business analyst at Collaborative Fund. Expert in P2P finance and AI-driven credit scoring systems.

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