Smart-meter data analyzed in real time, producing impactful insights for end-consumers in all situations. Allows an economical use of electrical energy for consumers, with personalized pricing & automated time shifting of consumption patterns.
Anomaly detection mechanisms: allows smart building operators to diversify their activity with new products & services, such as preventive maintenance of expensive equipment and achieve greater energy cost reduction services to clients.
Impactful insights to allow a smarter use of water resources and increase cost efficiency. Through real-time analytics on smart-meter data throughout their network, water operators can assure at all times the quality of services.
Time-series analytics applied to medical and paramedical applications: data is combined with medical guidelines and patient profiles to reveal special care and advice, gaps in care and cost savings.
Our roots come from a decade of work on sound waveform analysis at IRCAM -the leading institute in sound research. We created groundbreaking solutions in sound analysis algorithms, machine learning techniques and custom, time-series data indexing schemas, all of which is directly applicable to M2M and the IoT. We are advised by senior strategists in the IoT field, including the former Managing Director for ThingWorx.
We consider ourselves an International team based in France targeting globally, with members coming from 3 different countries and speaking 7 languages, sharing the passion for the IoT and disruptive technologies. As a team we demonstrate outstanding engineering/business study profiles, a strong academic record, research and teaching experience in EU level and a first-class work experience (Google, Parrot, Sanofi-Aventis).
Everything today is about time. We build our analytics on the idea that all events are time dependent, have a certain duration, a past, a present and a future.
We are an International company, with global focus, speaking 7 languages and coming from 3 different countries.
All team members – 3 engineers including 2 PhDs in machine learning and computer science and one marketing profile, share a passion for technology.
We work with all time series data with a special interest on energy and environment.
We complement existing IoT platforms providing the owners of industrial connected devices with impactful insights on their connected assets.
Our solutions include predictive, behavioural, context and trend analysis for different applications.
Historical Data Analysis, Predictive Analysis, User profiling and Anomaly Detection.
Our platform is combinable & customizable with graphic tools to design portions of a signal and save it as a pattern.
Thanks to a portable, pre-processing module, at the front-end of our system or at the gateway, the original data is transformed to meta-data that encrypt the content.
Our products are based on a single knowledge representation layer and a dedicated search engine created by our engineers.