Real-World Impact
Research focused on solving tangible problems with measurable outcomes. We build AI solutions that create genuine value in production environments.
Core Principles
Our research is guided by fundamental principles that ensure real-world applicability and measurable impact.
Measurable Outcomes
Every project must deliver quantifiable results with clear metrics for success.
Production-First
Solutions are designed from day one to operate reliably in production environments.
Cost Efficiency
Optimize for both performance and resource utilization to ensure sustainable operations.
User-Centered Design
Technology should serve people, not the other way around. Focus on solving real user problems.
Production Systems
Research that graduated into something people can use today.
ErmisAI
GraduatedAI newsroom: monitors sources, clusters coverage of the same event and drafts localized stories with provenance for editors.
Visit ProjectHyperionERP
GraduatedModular ERP for Greek retail chains: AI invoice intake, myDATA, stock, per-location profit split and payouts.
Visit ProjectAI Changelog Generator
GraduatedReads git diffs and commits and has an LLM write changelogs, release notes and commit messages. CLI and MCP server.
View DetailsBy the Numbers
Counted from the same project list that drives the rest of this site.
Research Approach
Problem Identification
Start with real-world problems that have clear business value and measurable impact potential.
Rapid Prototyping
Build minimal viable solutions quickly to validate assumptions and test feasibility.
Production Deployment
Deploy solutions in real production environments to gather actual usage data and feedback.
Continuous Optimization
Iterate based on real-world performance metrics and user feedback to maximize impact.