From a Singapore startup to a next-generation AI and software engineering company — trusted by government agencies, sovereign banks, and enterprises across four regions.
Verve Technology Services was established in 2012 by engineers and entrepreneurs with deep expertise across software engineering, embedded systems, and enterprise management. From day one, the focus was on building the real thing — production systems for demanding clients, not prototypes or proofs of concept.
Over 13 years, we assembled a team of specialists who understand the domains they build for: banking compliance, IoT infrastructure, firmware constraints, clinical data requirements. That domain knowledge is the foundation. QSAIF — our proprietary AI framework — is the accelerator, compressing delivery timelines by up to 90% without sacrificing quality, security, or scalability.
The result speaks for itself: a sovereign bank's entire core banking platform delivered at ~10% of industry-standard timelines. Today, we serve government and private enterprises — from sovereign banking institutions to large-scale enterprise clients — across APAC and the Middle East.
The strength of Verve is its people — a tight-knit leadership team combining deep engineering credentials, entrepreneurial experience, and international business reach across four regions.
Serial entrepreneur with engineering credentials and an MBA. A technologist at core who transforms complex business challenges into elegant solutions. Visionary leader driving Verve's growth across embedded engineering, IoT, and AI.
Electronics & Communications Engineer with postgraduate studies from Leeds Metropolitan University, UK. Over seventeen years leading operations, customer engagement, and firmware development across startups and established firms.
Product leader and engineer with over 8 years of experience across travel and fintech. MBA from the Indian School of Business. Previously Associate Director of Product at Fi, an Indian neobank, where he led lending and AI-driven product initiatives. Deep expertise spanning neobanking, credit, and applied AI.
Engineer and AI builder specializing in scalable, high-throughput systems that process millions of data points in real time. Led the team that placed 4th out of over 1,000 competing startups at the Google Startup Hackathon for IoT-enabled agriculture. Also served as Consulting CTO re-architecting legacy infrastructure to manage large fleets at scale. With deep, hands-on expertise across the full stack and cloud platforms including AWS and GCP, he brings a consistent focus on speed, reliability, and scale to every AI system he builds.
Whether it's a government project, banking platform, or IoT deployment — we'd love to hear about your challenges.