THINGS THAT THINK.
Stop model drift with on device continuous deep learning
Davinsy, the world’s first cloudless artificial intelligence of Things (AIoT) system.
OUR PRODUCTS_
DAVINSY
Data driven AIoT control system
DAVINSY VOICE
Voice-Sound AIoT control system
DAVINSY MAESTRO
Development environment for DavinSy based AIoT system
Getting AI on board has never been easier.
ZERO DATASET. More than 30% of industrial AI projects are stuck in collecting and building a data set that should reflect the accuracy of the final application in its real environment. We solved the problem of starting learning with little or even no dataset. We learn from real data captured live by the embedded system in a fraction of a second without the need for giant infrastructure such as cloud-based computing. We build the dataset while the embedded system is operating in the field, giving it a high level of adaptability to context changes.
The company was able to break the “sound barrier” of the AI workflow complexity and is currently introducing to the market, the world’s first Data driven virtual models control system called DaVinSy. It is today possible to continuously learn from “live” data to adapt the performance of embedded AI models just-in-time…
OUR MARKETS_
Meet Bondzai!
BLOG_ latest posts
Deeplomath: Davinsy’s embedded deep learning kernel. Continuous event-driven learning to avoid ML models drift due to data bias.
Davinsy, our autonomous machine learning system, integrates at its core Deeplomath, a deep learning kernel continuously learning from real-time incoming data…
Deeplomath: Davinsy’s embedded deep learning kernel. Model drift, Computational efficiency and MLOps.
Davinsy, our autonomous machine learning system, integrates at its core Deeplomath, a deep learning kernel continuously learning from real-time incoming data…
Naturally Spiking Networks with Deeplomath. Davinsy’s embedded deep learning kernel.
Davinsy, our autonomous machine learning system, integrates at its core Deeplomath, a deep learning kernel continuously learning from real-time incoming data…