Yeco Flash Mini-IT: The Italian Micro-LLM That Challenges Silicon Valley at Zero Cost
118M parameters, trained for under €15, ~200 tok/s on a consumer CPU. Yeco Flash Mini-IT is our proof of concept that sovereignty beats scale.
YECOAI di Marco Nasi has been awarded a non-repayable contribution of €18,200 under the ACN program promoted by Invitalia.
Marco Nasi
Founder & CEO
Today marks an important milestone for YecoAI. We are proud to announce that we have been selected by Invitalia to receive public funding under the ACN (Self-Employment Centre North) program.
Being selected for this program is not just about the financial support — it is a recognition of the vision we have been pursuing since day one: building reliable, privacy-first AI solutions that serve real-world needs.
We want to express our sincere gratitude to:
For believing in our project and guiding us through this opportunity. Their support in entrepreneurship development is invaluable for Italian innovators.
For creating programs that enable individuals to turn their ideas into sustainable businesses. This is how we build a stronger, more innovative Italy.
For investing in the future of digital innovation and entrepreneurship. This grant represents faith in the potential of Italian technology.
This funding will accelerate our mission to develop AI-powered solutions that prioritize:
We are incredibly proud to be part of a system that supports innovation and entrepreneurship. This grant is not just funding — it is validation that our approach matters, that building AI responsibly is the right path, and that Italy believes in its digital future.
To everyone at Invitalia, the Ministry of Labour, and the institutions of the Italian Republic: thank you. We will honor this trust by continuing to build technology that makes a difference.
The journey continues. And it has never been more exciting.
118M parameters, trained for under €15, ~200 tok/s on a consumer CPU. Yeco Flash Mini-IT is our proof of concept that sovereignty beats scale.
Ender-1 is our proprietary 3B model trained on EnderDevelopment data (free users, policy-compliant). It is in beta and rolling out on EnderDevelopment today.
278M-parameter neural model for PII detection and anonymization. Native Italian, 6 European languages, average F1 0.966.