SINGAPORE — June 11, 2026 —
PILLAR today announced the launch of its AI-native infrastructure platform, purpose-built for financial institutions operating in Asia-Pacific and the Middle East. The platform enables them to deploy AI agents that handle customer-facing interactions — from loan simulations to affordability checks and proactive cross-selling — without requiring ongoing engineering involvement to configure, update, or scale.
The announcement marks PILLAR's entry into a market where financial institutions have largely remained in what the company calls the “digital era” — digitizing paper forms and moving them onto apps — but have not yet made the structural shift to AI-driven customer engagement. PILLAR's platform is designed to make that shift operational, not just aspirational.
"Lending has moved through two eras — the branch era, then the digital era of apps and digitized forms. We're now entering an era where the conversation between a customer and their lender is more contextual and more proactive, driven by intelligence rather than by a customer filling in a form. PILLAR is the infrastructure that makes that practical for financial institutions today." — Ilya Kravtsov, Co-Founder, PILLAR
PILLAR's initial focus is AI-driven cross-sell and upsell for lenders with long-term products such as mortgages. In those relationships, the first product is only the beginning — the opportunity is matching that customer to the right next product over a multi-year relationship. PILLAR's multi-agent architecture supports that work: a team of specialized agents coordinated by an orchestrator — not one generic bot — profiling the customer, identifying a product match, and reaching out through a branded chat interface that behaves like a relationship manager.
PILLAR sits as an AI operating layer between a lender's product catalog and its customers. Institutions configure their agents through a no-code portal — defining agent behavior, product eligibility, and communication guardrails — without writing code. Routine changes go live in seconds, and skill updates promote in roughly five seconds without restarting the service; in-flight conversations always finish on the configuration they started with.
Capabilities at launch include:
"The stack needed to do this properly has only matured in the last year. Institutions that move now will help define what AI-era lending looks like in this region. Those that wait will be rebuilding from a harder position later." — Puguh Widyoko, Co-Founder, PILLAR
PILLAR is designed with the operating requirements of regulated lenders as a baseline. PILLAR is a white-label infrastructure. Requirements differ across markets, so PILLAR works directly with each institution's risk and compliance teams to fit their governance needs — with strict tenant isolation, deployment options including on-premise where required, and compatibility with approved cloud providers across Asia-Pacific and the GCC.
Lenders across the region face compounding pressure: cost mandates, expectations to redeploy staff away from administrative work, and the rise of AI-native competitors. Most lack the in-house capability to build and maintain AI systems at production quality. PILLAR was founded to close that gap — turning AI from a proof-of-concept into a managed operation your own teams can run and oversee.
PILLAR has begun deploying its platform with lending partners in the region and is now expanding its client base and entering new markets.
