About us
Sonogram Technologies grew out of a simple question: why is the sound information of an operating environment - continuous, rich and often an early sign of change - almost always allowed to slip away?
We bring together sound engineering, artificial intelligence and software architecture to build systems that listen to, preserve and interpret the environment over time.
Our story
The idea comes from professional sound: anyone who records and archives soundscapes knows how much information an environment holds. Bringing that sensibility into operational environments called for two more disciplines, artificial intelligence and distributed systems architecture.
As an innovative start-up, Sonogram has grown in stages: prototypes first, then continuous validation in a real environment, the patent application and the first Early Adopter programmes, with scientific support from the University of Salerno and the backing of Polo Tecnologico Alto Adriatico.
First BB V1 and BB-MIC V1 prototypes. Start of the scientific collaboration with DiSA / MIS at the University of Salerno and of the operating partnership with mOOviOOle S.r.l.
Development of the BB-R V2 prototype and the new BB-MIC units. First AI models for sound source separation. TRL 6/7 maturity level reached.
The BB-S V2 prototype runs without interruption for 9 months in a real operational environment: more than 26,000 hours of acoustic data recorded and over 70 million audio files in the proprietary dataset.
Italian patent application no. 102025000024124 for the BB-S system filed, currently pending. BB-AI prototype built and tested in real-time operation.
Site surveys and dedicated installation proposals. First industrial Early Adopter programmes formalised.
Start of the first pilot projects in industrial environments. Quantitative anomaly detection metrics are being validated in the field with the Early Adopters.
BB-S is offered on an operational rental basis, expanding progressively from a first pilot plant to the entire operational perimeter.
Sound engineer with experience in cinema and in the design of systems for listening to, recording and archiving the soundscape. M2 in “Ingénierie du son à l’image”, background in R&D and manufacturing.
Focus: Product vision, strategy and industrial development.
Technology architect with more than 25 years of experience designing complex software systems and distributed platforms. At Sonogram he leads the end-to-end technology architecture of BB-S, from edge computing to the cloud, through to AI integration and industrial scalability.
Focus: System Architecture · Edge & Cloud · AI Integration · Distributed Systems · Industrial IoT
Researcher at the University of Salerno and Research Fellow at the Navarra AI Research Center. PhD in AI & Computational Intelligence; research in deep learning, neuromorphic models, medical imaging and computational biology.
Focus: AI research, development and validation.
Chief Technical Officer at Mactavish. Experience in corporate risk, insurance, claims resolution and complex insurance programmes.
Focus: Positioning of BB-S in the risk engineering, insurance and commercial fields.
Full Professor of Computer Science at the University of Salerno (DiSA / MIS), with more than 180 scientific publications. Supports the scientific validation of the BB-S system.
Scientific collaboration on research, AI and validation.
MIMIT-certified incubator and accelerator. Support for incubation, development and the industrial network.
Operating partner of Sonogram Technologies.
