Data and Infrastructure Engineering
We build digital solutions for pipelines, warehouses, and databases that support decision-making. From database tuning to constructing pipelines, we create production systems with observability, governance, and cost transparency.
Messy data pipelines and under-optimized databases lead to slow queries and high storage costs. Running an open-source data warehouse with 30TB of data costs nearly $1 million every year. Without a standard framework for your data, decision-making slows down and teams lose trust in the company’s data projects.
GeekyAnts removes these data bottlenecks and storage wastes. We audit your current systems, find the performance blockers, and build a roadmap.
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.
- Active Users in the UK, Canada, Europe, and Australia
- 120k+
- Global Payments Processed Annually
- 400M+
- Downloads Across iOS and Android
- 350k+
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.
- Reduction in meal decision time
- 40%
- Increase in daily active usage during pilot
- 2x
- Faster iteration on new AI-driven features
- 3x
$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.
- Reduction in monthly cloud costs
- 60%
- Saved per month
- $4800
- Annual savings
- $57,000+
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.
- faster internal testing
- 30%
- reduction in manual validation
- 50%
Our Core Capabilities
Database Reliability Engineering
We deep-tune PostgreSQL, MariaDB, and Redis to ensure performance and data safety.
- Replication Setup
- PITR Backup
- Query Optimization
Data Pipelines (ETL/ELT)
We build robust pipelines to move, transform, and load data for analytics and machine learning.
- CDC
- Batch Processing
- Stream Processing
Infrastructure as Data
Managing stateful workloads using advanced orchestration patterns.
- StatefulSets
- Persistent Volumes
- Disaster Recovery
Advantages of Partnering with GeekyAnts
We engineer systems capable of managing Petabyte-scale data without performance degradation
Through the implementation of Materialized Views and specialized engines, we reduce dashboard load times from 30 seconds to under 500ms.
We prioritize Database Reliability Engineering to ensure total data safety.
Backend Engineering Services for Enterprises
Our Latest Thinking
Is your data team fighting high latency instead of shipping insights?
Book a discovery consulting call with our Data Architects today.
Contact us
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.
