Real Results

See how we help businesses solve tough technical problems and grow faster.

E-commerce Scaling

Handling Huge Traffic Spikes

Challenge: An older online store crashed during Black Friday because it couldn't handle the rush of customers.

Solution: We moved their system to AWS using modern tools like Docker and Kubernetes. We also set up automation so they could update their app quickly and safely.

99.99%
Uptime
-60%
Deployment Time
-30%
Infra Costs
AWS Kubernetes Docker Terraform Jenkins
FinTech Security

Secure Banking Software

Challenge: A fintech company had slow updates and struggled to meet strict banking security rules.

Solution: We built a secure setup on Azure. We added automatic security checks so every update is safe and meets banking rules before it goes live.

4x
Faster Delivery
95%
Automated Checks
-80%
Audit Prep Time
Azure DevSecOps SonarQube Trivy HashiCorp Vault
MLOps Platform

A Better Way to Manage AI Models

Challenge: Data scientists were wasting time fixing servers instead of building AI models. Their work was messy and hard to repeat.

Solution: We built a complete platform on Google Cloud for their data team. We used tools to make it easy to train, track, and use machine learning models.

10x
Faster Deployment
-90%
Infra Management
100%
Reproducible
GCP Kubeflow MLflow Seldon Core GKE
Automated Model Retraining Pipeline

Self-Updating AI for Retail

Challenge: A big online store's product recommendations were getting worse over time. Updating them was a slow, manual process that happened only a few times a year.

Solution: We set up an automated system on AWS that watches their models. If a model starts performing poorly, the system automatically retrains it and updates the app without anyone having to lift a finger.

+15%
Model Accuracy
-80%
Manual Effort
48x
Faster Retraining
MLOps AWS EKS Prometheus CI/CD Docker
Read the Full Story

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