Real world data is not easy to work with...
...but what if your operations could REALLY benefit from it?
CanaryTech is the data partner that industrials love to have by their side to solve problems and create value.
At the crossroads of business expertise and data technology, we are not afraid to dig into business needs. We research, extract, refine, and industrialize data.
We deploy economically viable solutions to help our clients achieve their goals. We demonstrate technical boldness, while judiciously considering current digital trends.
We are different because we always consider business context and technical stack as part of a coherent whole.
We strive to provide:
IoT Integrations
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Hardware integrations (e.g. Hanna sensors and other equipments)
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Data transmission & processing (time series)
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Real time monitoring
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Prototypes
Data Engineering
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Data engineering (machine decoding, refining)
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Data products for decision making
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Data architecture (time series, meta data, data systems)
Operational Gen AI
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Training & strategy workshops
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AI pipelines deployment and as a Service
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R&T: Retrieve Augmented Generation for operations
USE CASES
AVIATION
We redesigned a platform that processes over terabytes of operational data from hundreds of operating aircraft, enabling maintenance planning through time series and machine event analysis. This enables near real-time monitoring systems to track critical events for maintenance, while also delivering powerful analytics across the entire fleet.
INDUSTRIAL SENSORS
We helped manufacturers improve their production process through machine data analysis across various sectors. To do so, we integrated sensor data and connectivity modules in industrial environments to enable real-time monitoring of production systems as well as broad analytics, in particular for time series data.
AI ACCELERATED WORKFLOWS
We implemented AI solutions to process unstructured messages and accurately route them to the correct departments while extracting key business context and intentions. Our systems help transform raw communication data into actionable insights, enabling more efficient response times and better operational decision-making.
TEAM
Our team combines deep industrial expertise with advanced data engineering capabilities, having played key roles in major aerospace data platforms and industrial transformations. Our professionals bring complementary skills in data architecture, machine data decoding, industrial automation, electronics, and AI implementation, along with experience across major industrial players.
Pierre-Olivier de Carvalho
CEO & Data Acquisition Lead
Pierre-Olivier brings over 15 years of expertise in IT development, electronics, and finance, with significant experience in tracking critical assets. As the former CFO of Skywise and developer, he uniquely combines technical and financial understanding to deliver data-driven solutions.
Julien François
COO & Data Engineering Lead
Julien is a seasoned engineer specialized in industrial and aeronautical machine data. His experience spans process automation, aircraft data analysis for maintenance and operations, and digital transformation projects, particularly in implementing connected aircraft solutions.
Vincent Swiderski
Sales & Architecture Lead
Vincent combines strategic and technical expertise as a former Skywise strategy lead and data systems architect. With deep industrial experience and a human-centric approach, he focuses on creating sustainable value through data technologies while bridging business needs with technical solutions.
Ségolène de Carvalho
AI Sales & Prompt Engineering Lead
Ségolène leverages her diverse background across bookselling, finance, and aeronautics to bring a unique perspective to Gen AI solutions. She specializes in prompt engineering and leads the Gen AI offering, focusing on practical applications for small and medium enterprises.
Guillaume Besse
Data Engineer
Guillaume is an experienced data engineer with a track record of delivering complex data projects across major organizations like EDF, Thales, and BVA. He brings advanced expertise in data pipeline design and industrialization, particularly with technologies like Spark.
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