Code / Cost Optimisation
Drive measurable efficiency gains across your AI and data estate — reducing cloud spend, improving code quality, and accelerating engineering velocity without compromising performance.
How We Reduce Your AI Cost of Ownership
Audit and fix inefficient code, queries, and pipelines draining your cloud budget. From Spark optimisation to SQL tuning and infrastructure right-sizing, we reduce costs at the root — not just the surface — while maintaining performance and reliability.
- Security and reliability
Security & Reliability
- Data pipeline & query optimisation
- Spark, SQL, Delta, Databricks
- Diagnose inefficiencies
- Reduce compute consumption
- High-quality code
Cost Efficiency
- LLM & AI inference cost reduction
- Model selection & batch strategies
- Token optimisation
- Reduce AI infrastructure spend
- Cost efficiency
High-Quality Code
- Cloud cost & spend analysis
- Review engineering workloads
- Apply modern standards
- Reduce technical debt
- Using latest technologies
Using Latest Technologies
- Code quality & tech debt reviews
- Comprehensive codebase assessment
- Improve scalability
- Reduce maintenance costs
Our Approach
We start with a comprehensive audit of your data engineering codebase and cloud spend, identifying the highest-impact optimisation opportunities before implementing targeted fixes that deliver measurable cost reduction.
Spark & SQL Optimisation
Profile and refactor Spark, SQL, and ETL pipelines to eliminate bottlenecks and reduce compute consumption.
- Spark job profiling
- SQL query tuning
- Delta Lake optimisation
- Bottleneck diagnosis
- Compute right-sizing
- SLA acceleration
AI Inference Optimisation
Reduce LLM and AI inference costs through model selection, batch strategies, and token optimisation.
Cloud Cost Management
Implement tagging strategies, autoscaling policies, and right-sizing analysis to control cloud expenditure.
- Token optimisation
- Model selection
- Batch inference strategies
- Cloud spend analysis
- Autoscaling policies
- Cost attribution
Code Quality Reviews
Comprehensive assessment of data engineering codebases to improve scalability, reduce technical debt, and lower maintenance burden.
Pipeline Acceleration
Accelerate slow data pipelines and SLAs through targeted refactoring and performance tuning of critical paths.
- Codebase assessment
- Tech debt reduction
- Scalability improvements
Building With the Best Tools
Front End
01
Graphql
02
React Hook
03
ANT Design
04
Material UI
05
TypeScript
06
NEXT.JS
07
REACT.JS
08
Rest API
Back End
01
NODE. JS
02
PHP
03
Laravel
04
Java
Front End
01
Nginx
02
Docker
03
Kubernetes
04
Azure
Cloud
01
Nginx
02
Docker
03
Kubernetes
04
Azure
Database
01
Mysql
02
Postgresl
03
Mongodb
04
Solr
Mobile Apps
01
Konlin
02
GO
03
Flutter
04
Awift
Why Choose Us
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Ready to Start Your Project?
