In less than two years, the platform’s deployment across underwriting, claims, and onboarding has demonstrated tangible cost savings and process improvements.

Founders and investors assert that auditable AI delivers real, scalable value in regulated finance, with Pints AI moving from pilots to production and delivering measurable savings.

The platform addresses regulatory deployment by ensuring traceability and defensibility of decisions, meeting compliance needs of regulators such as MAS in Singapore, RBI in India, and HKMA in Hong Kong.

In addition to traceability, the system flags uncertain outputs for human review to align with audit and regulatory requirements.

The funding round aligns with Singapore’s push on frontier technologies, including a 2030 plan to invest heavily in frontier tech and AI for financial services announced in Budget 2026.

Autothought uses an agent orchestration framework to route tasks to appropriate AI models—from Pints AI’s own LLMs to frontier models like Claude and open-source options—delivering enterprise-grade accuracy with engineers embedded in client organizations.

Pints AI has earned recognition and support, including awards from MAS’s FinTech Festival AI in Finance Global Challenge and the Singapore-India Hackathon in 2023, with backing from AI Singapore.

Industry figures, including Eiichiro So of SBI Ven Capital, emphasize Pints AI’s compliance-first deployment and the need for trusted live AI operations in regulated institutions.

Autothought integrates with banks’ and insurers’ core systems to automate underwriting, claims, and onboarding while maintaining a full audit trail for every AI-assisted decision.

Pints AI raised US$5.6 million in a pre-Series A, led by Tin Men Capital with co-lead SBI Ven Capital and participation from several investors.

The same raise underscores investor confidence in Pints AI’s regulated-finance focus and momentum in Asia.

Since launch, Autothought has helped 12 institutions across four countries save more than US$10 million through automation of core processes and robust auditability.