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1. Can you tell us what LUMIQ is looking to achieve for financial services organisations through data, analytics and AI?
Our starting point is that most institutions are adopting AI and making significant investments, but very few can point to what it actually decides for them. We’re not trying to add another copilot that helps someone work a little faster — we’re building AI that can own an entire decision end-to-end: intake, verification, underwriting, adjudication, fully auditable at every step. That’s what LiteCone and our AI Coworkers — LEO, AURA, ERIC and the rest — are built to do. The goal isn’t “AI adoption,” it’s compounding returns: moving institutions from straight-through processing on the easy slice of cases to zero-touch decisioning on the hard majority that’s still entirely manual today, without asking them to rip out core systems or move data outside their own cloud.
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2. LUMIQ was recognized as Employer of the Year in 2025. In an industry where demand for data, AI, and cloud talent is skyrocketing, how do you attract the specialized expertise required to drive these high-impact solutions?
Two things, mainly. First, we only work in financial services — AI Engineer here isn’t building a churn model for a retailer on Monday and a fraud model for a bank on Tuesday. That focus means domain depth compounds fast, which is genuinely attractive to specialists who want to go deep rather than wide. Second, our engineers are shipping AI Coworkers into live production that make real underwriting and credit decisions at scale, with outcomes a Chief Underwriting Officer or Chief Risk Officer signs off on. That’s a different kind of ownership than most data/AI roles offer, and it’s what tends to pull specialised talent away from the big generalist consultancies. Being named Employer of the Year at the India HR Summit in 2025 was a nice external signal — the real proof is that our architecture and engineering bench has grown across our hubs in India, Singapore and New Jersey without diluting the bar.
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3. LUMIQ has built its core expertise around the Financial Services Industry. What have you found to be the biggest challenge when applying data and AI solutions in finance, compared to other sectors?
In most industries, an AI model that’s roughly right is a win — a recommendation engine that’s 90% right is still valuable. In financial services, 90% right on an underwriting or credit decision isn’t a product, it’s a liability. Every decision has to be auditable end-to-end, cited back to the actual rule or clause that justified it, tested for bias before it ever goes live, and strictly grounded in the institution’s own data — no fabrication, no drift. A regulator has to be able to replay that decision a year later and get the same answer. That’s a much higher bar than “the model works,” and it’s why most horizontal AI tooling stalls out in FSI — it was built to be helpful, not to be defensible. We designed LiteCone around that constraint from day one rather than retrofitting governance onto a model that was never built for it.
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4. LUMIQ has certified architects and engineers who specialize in the FSI domain, and the experience of 50+ global implementations. What is your strategy for maintaining this consistent level of specialised expertise as you scale into new global markets?
We scale the platform, not just the people. Every AI Coworker is built on the same LiteCone foundation — the same five governance checks, the same audit and lineage model, the same deployment pattern inside a client’s own cloud. So, entering a new market means reapplying a pattern we’ve already proven across 50+ implementations, not reinventing it. What changes market to market is regulatory context, which is where certifications like ISO 27001, SOC 2 Type 2, and our MAS Pathfinder validation in Singapore matter, alongside local hiring — our hubs in India, Singapore, Philipinnes and New Jersey exist so we have people close to each client who understand the market, not just the technology. We’ve also been deliberate about funding that expansion properly: our recent round specifically earmarked go-to-market growth in the US and Southeast Asia alongside deepening LiteCone itself, so the platform and the people scale together rather than headcount running ahead of the technology.
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5. How significant do you think are platforms like WFIS for the Philippines?
Very significant — and the numbers back it up. Digital bank deposits in the Philippines grew 44% year-on-year, and eight Filipino banks made the World’s Best Banks 2026 list. This isn’t a market still deciding whether to digitise; it’s one that’s already moved and is now asking the harder question — how do you scale that digital infrastructure without compromising security, compliance or trust? That question doesn’t get answered in a vendor pitch — it gets answered in a room with 500+ BFSI leaders, regulators like the BSP, and technology providers working through the same problem together. For a market moving this fast, a shared forum like WFIS probably matters more here than in a market that digitised a decade ago and has already settled its norms.
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