About · Made in Italy
We design the Vivi engines and put them to work where the data is: on your server and inside your devices.
Vivi is our family of AI engines. It learns on its own what normal looks like in your data.
Decisions happen where the data is. No latency, no mandatory cloud.
Models run only on your hardware, bound to the chip's ID.
Upload a CSV, download the binary. For servers, one Docker command.
No ML expertise needed. No cloud dependency.
From Derved, a design studio, to Docfire, to Luviner.
Engineer, PhD in Applied Acoustics. Leads strategy, clients and business development. Part of every project since 2013.
Full-stack developer (Python, PHP, C), founder of Docfire. Built Luviner's AI engines, the platform and 399 automated tests from scratch, with no outside funding.
bioRxiv preprints, authored by both founders.
Proprietary engines, no GPU clusters for inference. Revenue grows with customer devices, not with compute.
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