Product Backend Studio

Impact We Make

400M+ global payments processed annually
The system provides the scalability required to handle millions of transactions while maintaining data integrity and administrative control.
120k+
Active Users in the UK, Canada, Europe, and Australia
400M+
Global Payments Processed Annually
350k+
Downloads Across iOS and Android

3x faster AI feature iteration
The modular backend architecture allowed the team to deploy new AI capabilities and personalized features significantly faster than industry benchmarks.
40%
Reduction in meal decision time
2x
Increase in daily active usage during pilot
3x
Faster iteration on new AI-driven features
Our Core Capabilities
Explore these Technologies for Product Backend
Node.js / NestJS Engineering
PostgreSQL Architecture
Advantages of Partnering with GeekyAnts For Product Backend
Backend Engineering Services for Enterprises
Our Latest Thinking

The Model Context Protocol: From First Call to Production
This blog explains how Model Context Protocol (MCP) works, from tool discovery and execution to OAuth authorization, security controls, and production deployment.

Stop Automating Everything: A Balanced Quality Engineering Approach to Testing
Balanced quality engineering places automation, API testing, exploratory work, and AI where each gives the most value, so teams ship faster without trading away user-perceived quality.

AI Can Generate Code. Who Owns Production? A RACI Framework for AI-Assisted Engineering
A practical guide to who owns each production decision when AI helps write the code, covering the release-approval matrix, readiness gates, incident response, partner evaluation, and a four-week way to put it in place.

GeekyAnts Recognized Among DesignRush’s Top Software Development Companies for 2026
This news article covers GeekyAnts being listed among DesignRush’s Top 20 Software Development Companies in 2026 and the product engineering capabilities highlighted in its profile.

AI Compliance in the United States: A Practical Guide to Governance, Risk, Documentation, and Audit Readiness
A practical guide to AI compliance in the United States, covering governance, risk management, lifecycle controls, documentation, audit readiness, and implementation.

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.









