Research-Backed. Production-Validated.

We spent 15+ years researching how to optimize cloud workloads.
Then we built SLOpilot.

Our Approach

We believe optimization should be transparent, predictable, and under your control. Our algorithms are built on 15+ years of peer-reviewed research in predictive modeling.

Unlike black-box AI systems that demand blind trust, SLOpilot shows you exactly why each decision is made—every recommendation comes with the reasoning behind it, so you can execute with confidence.

Leadership Team

Core Team

Mirco Tribastone

Co-Founder & CTO

Mirco spent 15 years researching why cloud systems fail to meet their SLOs. His work on predictive modeling—published in 150+ peer-reviewed papers—powers SLOpilot's What-If Engine. PhD from University of Edinburgh.

Nicola Lattanzi

Co-Founder & CEO

Nicola bridges research and commercial execution, having led technology transfer initiatives across European institutions. His work on organizational decision-making shapes how SLOpilot presents optimization choices to platform teams.

Emilio Incerto

Principal Project Developer

Emilio built the SLOpilot optimization engine from the ground up. His expertise in performance engineering and cloud-native architectures translates research into production software.

Advisors & Board

Andrea Ragnetti

Chairman

Former CEO of Philips and Alitalia. Strategic advisor with extensive experience in scaling technology companies. Investor and advisor on strategy and operations.

Andrea Basso

Board Member

Managing Director at MITO Technology. Expert in deep tech investments and technology transfer. Driving Valuematic growth strategy and investor relations.

Join Our Team

We're building something ambitious. Want to help?

Get in Touch →

Supported by leading European research institutions and deep tech investors.

Ready to see SLOpilot in action?

Start with Observation Mode—see your optimization potential with zero production changes.

Request SLO Audit