Idea → Deployed
Real client stories and metrics will appear here post-launch. These examples illustrate the types of problems we solve and outcomes we deliver.
Note: The case studies below are representative placeholders. Actual client work and metrics will be published after launch with appropriate permissions.
Predictive Maintenance Platform
The Problem
A manufacturing firm experienced frequent unplanned downtime, costing millions annually. They needed to predict equipment failures before they disrupted operations.
Our Approach
Deployed edge sensors across critical equipment with an ML pipeline for anomaly detection. Built real-time data ingestion and model training infrastructure.
What We Delivered
Real-time monitoring dashboard with predictive alerts and maintenance scheduling integration.
Results
- 40% reduction in unplanned downtime
- 25% decrease in maintenance costs
- ROI positive within 6 months
Technology Stack
HIPAA-Compliant Document Processing
The Problem
A healthcare startup needed to process patient intake documents at scale while maintaining strict HIPAA compliance. Manual processing was creating bottlenecks.
Our Approach
Built a secure document extraction pipeline with LLM-powered classification, running in an isolated VPC with comprehensive audit logging.
What We Delivered
Automated intake system processing thousands of documents daily with human-in-the-loop review for edge cases.
Results
- 85% faster document processing
- Zero compliance incidents
- Staff freed for higher-value work
Technology Stack
Legacy Monolith Migration
The Problem
A FinTech company was blocked by a legacy monolith. Feature velocity had slowed to a crawl, and incidents were frequent. They needed to modernize without disrupting operations.
Our Approach
Incremental strangler fig migration to microservices with parallel operation. Event sourcing for data consistency during transition.
What We Delivered
Event-driven architecture with full CI/CD, comprehensive observability, and zero-downtime deployments.
Results
- 3x deployment frequency
- 70% fewer production incidents
- Team velocity restored
Technology Stack
Privacy-Preserving Recommendations
The Problem
A retail chain wanted personalized product recommendations but needed to respect customer privacy and comply with GDPR requirements across European operations.
Our Approach
Implemented federated learning approach with on-device inference. No raw customer data leaves their device.
What We Delivered
Privacy-preserving recommendation engine deployed across web and mobile platforms.
Results
- 25% increase in conversion rate
- Full GDPR compliance
- Customer trust maintained
Technology Stack
Proactive Churn Prevention
The Problem
A B2B SaaS platform was losing customers without warning. By the time churn signals were visible, it was too late to intervene effectively.
Our Approach
Built a predictive churn model analyzing usage patterns, support tickets, and engagement metrics. Integrated automated intervention workflows.
What We Delivered
Risk scoring system with alerts integrated into customer success tooling.
Results
- 30% reduction in churn rate
- Earlier customer interventions
- Improved NPS scores
Technology Stack
Dynamic Fleet Routing
The Problem
A logistics company needed real-time route optimization for their delivery fleet. Static routes were inefficient, and drivers lacked tools for on-the-ground decisions.
Our Approach
Developed constraint-based optimization engine integrating live traffic data, delivery windows, and vehicle capacity constraints.
What We Delivered
Dynamic routing system with driver mobile app and dispatch dashboard.
Results
- 18% fuel cost reduction
- 22% faster average deliveries
- Driver satisfaction improved
Technology Stack
Have a similar challenge?
Let's discuss how we can help you move from idea to deployed.