Our Services

20+
Years of Engineering Products
1000+
Products Shipped to Production
600+
Projects
350+
Product Engineers
Our Four Main Services
Artificial Intelligence Consulting
GeekyAnts helps businesses assess AI readiness, define transformation priorities, align stakeholders, and move from AI ambition to execution with confidence.
AI Powered Product Engineering
Enterprise System Modernization Services
Digital Customer Experience
We bring engineering, design, and strategy on the same page. Our consulting services ensure customer experience builds trust, delivers measurable business outcomes, and works for scale. Serving businesses across Singapore.
All Services
20+
Years of Product Engineering
1000+
Products Shipped
600+
Projects Delivered
350+
Product Engineers
Our Latest Thinking

AI Governance Framework for Enterprises: Policies, Roles, Controls, Metrics, and a 90-Day Roadmap
Learn how to build an enterprise AI governance framework covering policies, risk classification, roles, technical controls, metrics, compliance, and a practical 90-day implementation roadmap.

How Should a US Company Work with an Offshore Engineering Partner Across Time Zones
A practical guide to choosing, managing, and scaling an offshore engineering partner across time zones.

AI Reference Architectures for Fintech and Banking: 5 Production-Ready Patterns, Costs, and Risks
Explore five production-ready AI reference architectures for fintech and banking, covering AI controls, costs, failure modes, and deployment considerations.

AI Project Manager: How AI Can Track Tasks, Risks, Blockers, Dependencies, and Deadlines
A practical guide to AI project managers: what they track, how to implement one safely, and how to evaluate the options.

From Rolling Deployments to Zero-Downtime Releases
This blog explains how Blue-Green deployment helps reduce downtime in online banking releases through traffic switching, pod readiness, static-resource versioning, and rapid rollback.

After Funding: Should You Build an AI Team In-House or Engage a Dedicated Product Engineering Pod
After funding, should you build an in-house AI team or hire a dedicated product engineering pod? A practical guide to deciding by cost, speed, and production ownership.
