Active.ai vs ADVANCE.AI

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Active.ai employs 50-200 people, while ADVANCE.AI has 100-500 employees.

ADVANCE.AI has raised more in total funding at $200M, compared to Active.ai's $11M — a gap of $189M.

ADVANCE.AI holds the higher Awaira Score at 68/100, compared to Active.ai's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 18-point gap that reflects meaningful differences in scale or traction.

Active.ai was founded by Ravi Shankar in 2016. ADVANCE.AI was founded by Gao Yuan in 2016. Visit each company's profile on Awaira for a full founder biography.

Active.ai: Active.ai builds conversational AI solutions specifically for retail banking and financial services, enabling banks to deploy intelligent virtual assistants for account inquiries, transaction analysis, loan servicing, and customer onboarding through mobile and messaging channels. The platform is designed to integrate with core banking systems and comply with financial services regulations across multiple jurisdictions.\n\nThe company raised approximately $11M in Series A funding and counts regional banks, cooperative financial institutions, and digital neobanks among its customers in India and Southeast Asia. Active.ai's banking-specific NLP models are trained on financial domain terminology, reducing hallucination risk in regulated customer-facing interactions.\n\nThe digital banking transformation in India, accelerated by UPI and the JAM trinity, has created strong demand for AI-assisted banking interfaces that can serve the next 300 million users entering the formal financial system. Active.ai's banking-native design positions it as a credible alternative to expensive custom development or generic chatbot platforms that require extensive financial domain customization. ADVANCE.AI: ADVANCE.AI provides AI identity verification, credit scoring, and fraud prevention technology for financial services operators in Southeast Asia and India, applying machine learning to alternative data including digital footprints, device signals, and behavioural patterns to assess creditworthiness for populations underserved by traditional credit bureau infrastructure. The Singapore company serves digital banks, lending platforms, and payment companies operating in markets where formal credit history data is limited.\n\nThe company raised approximately $200 million in venture funding from investors including GSR Ventures, Pavilion Capital, and Gaorong Capital. ADVANCE.AI has deployed its identity and credit AI across operations in Indonesia, Philippines, Vietnam, India, and other Southeast Asian markets where financial inclusion gaps create demand for alternative credit assessment that can extend lending to consumers and small businesses without traditional credit scores.\n\nADVANCE.AI operates in the Southeast Asian fintech AI market alongside Kredivo, Akulaku, and the AI risk divisions of regional super-apps including Grab Financial and Sea Group. The alternative data approach to credit scoring is particularly relevant in markets where mobile phone and digital commerce penetration has grown faster than formal financial system access, creating large datasets of behavioural and transactional signals that AI models can use to assess financial reliability. Regulatory environments for alternative data credit scoring vary significantly across Southeast Asian markets, requiring country-specific compliance adaptations.

Both Active.ai and ADVANCE.AI were founded in the same year — 2016. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Active.ai has approximately 50-200 employees, while ADVANCE.AI has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Active.ai and ADVANCE.AI are direct competitors — both operate in the AI Finance space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.