Enterprise Backend

We build and fix the essential systems your business relies on. We take outdated, expensive setups and turn them into secure and rock-solid applications using modern tech, including Java and Golang.

Talk to Our Enterprise Backend Experts

We provide stability by building systems that handle Petabyte-scale data without slowing down. Using Database Reliability Engineering, we fine-tune PostgreSQL and Redis to keep your operations rock-solid. This focus on performance has allowed us to slash dashboard load times from 30 seconds to under 500ms.

Security and standardization are core to our Zero Data Loss guarantee. We move legacy systems onto standardized, optimized clusters, which have saved clients $500k a year in licensing costs alone. By using advanced tools like StatefulSets and Point-in-Time Recovery, we ensure your data stays safe, organized, and ready to scale.

Impact We Make

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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

Increase in daily active usage during pilot

Faster iteration on new AI-driven features

$57,000+ Annual Savings

The project achieved a 60% reduction in monthly cloud costs (from $8,100 to $3,300) without any loss in transaction speed or system security.

60%

Reduction in monthly cloud costs

$4800

Saved per month

$57,000+

Annual savings

50% reduction in manual validation cycles

The integration of automated benchmarking frameworks and AI-driven process automation also resulted in 30% faster internal testing workflows.

30%

faster internal testing

50%

reduction in manual validation

Our Core Capabilities

Legacy Modernization

Transforming aging mainframes and monoliths into agile, containerized microservices without business interruption.

Strangler Fig Pattern
Mainframe Offloading
Java to Kotlin/Go

High-Performance Compute

Leveraging Golang's concurrency model for computationally intensive tasks and high-throughput services.

Goroutines
gRPC
Protobuf

Enterprise Compliance

Building systems that adhere to strict industry standards (GDPR, HIPAA, SOC2) by default.

Audit Logging
Compliance as Code
Data Governance

Explore these Technologies

Java / Spring Boot Systems

We utilize the Java ecosystem to build robust, multi-tier architectures that handle complex business rules with high stability.

Golang Performance Systems

By leveraging Go’s lightweight concurrency model, we build services that handle millions of simultaneous requests with minimal CPU and memory overhead.

Advantages of Partnering with GeekyAnts

We build systems compliant with GDPR, HIPAA, and SOC2 by default to meet all global regulatory standards.

We optimize PostgreSQL, MariaDB, and Redis to slash resource usage and operational overhead.

We use the Strangler Fig Pattern to migrate monoliths to microservices without business interruption.

Backend Engineering Services for Enterprises

Product Backend Studio

We build the "0-to-1" engine for new, high-growth applications.

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Enterprise Backend

We specialize in transforming monolithic legacy systems into modern microservices.

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Cloud & Platform Engineering

We treat infrastructure as code to balance performance with cost.

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Data & Infrastructure Engineering

We build the high-speed pipelines that turn raw data into business intelligence.

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Our Latest Thinking

Insight

Sep 11, 2026

Building Local LLMs Using Dart FFI And llama.cpp: Beyond Wrapper Packages

Build local LLMs in Flutter with Dart FFI and llama.cpp, and see how native bridges, GGUF models, memory management, and token streaming enable private, on-device AI.

Insight

Sep 11, 2026

My Flutter App Froze With Three Photos on Screen. Here's What I Was Doing Wrong

This blog explains how rethinking Flutter’s image-processing architecture fixed severe performance issues and improved rendering efficiency.

Insight

Sep 10, 2026

AI in Wealth Management: What It Takes to Turn a Smart Demo Into a Production-Ready Product

Learn what it takes to turn an AI wealth management demo into a production-ready product. Explore production-readiness criteria, architecture, data foundations, governance, monitoring, rollout strategies, and AI product engineering considerations.

Insight

Sep 10, 2026

Building a Production-Ready Canva-like Editor with Konva.js, React 19 and Next.js 15

This blog explains how to build a production-ready canvas editor with Konva.js, React, and Next.js, covering architecture, performance, and key engineering decisions.

Insight

Sep 10, 2026

Why AI Agents Fail in Production: Building Systems That Recover | Pushkar

Pushkar’s thegeekconf mini talk explores why AI agents that perform well in demos often struggle in production, and how loud failures, clean context, step monitoring, guardrails, and better agent loops can make them more reliable and predictable.

Insight

Sep 10, 2026

GeekyAnts Launches AntFlow AI for Spec-Driven Software Engineering

This article covers the launch of AntFlow AI and its spec-driven approach to agentic software development.

Build for global standards, by default.

Book a call with our Enterprise Backend consultants to get an audit today.

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Our Backend Stack

Working with clients across 20+ industries has verified one thing—cookie-cutter approaches do not work when it comes to backend. The backend needs to be tailored for the business and the goal. That is why we do not force one stack on you. We choose the right tool based on performance needs, ecosystem fit, and your team’s expertise.