A hands-on optimization sprint focused on delivering measurable efficiency improvements.
We work directly with your engineering team to implement efficiency improvements, without sacrificing performance, reliability, or developer velocity.
Typical focus areas
- AI model efficiency and inference optimization
- Resource-aware system design
- Cloud infrastructure tuning
- CI/CD energy and cost hotspots
- Performance–energy trade-off analysis
What you get
- Direct collaboration with your engineering team
- Implementation support
- Knowledge transfer
- Measured before/after impact
Typical results
20–50% reduction in AI and cloud infrastructure costs.
