
Delphisonic provides AI-powered predictive maintenance solutions that combine edge-processed data, real-time analytics, and industry-specific insights. Their integrated approach, featuring sensor hardware (DS-Track) and a modular analytics platform (DS-Insight), enables early fault detection, optimized maintenance strategies, and increased operational efficiency across sectors like rail, marine, energy, and industrial manufacturing. The DS-Track sensor processes data on-device with embedded Edge AI, offering real-time alerts up to 10x faster than cloud-based systems. DS-Insight transforms this data into predictive insights via AI-powered analysis, intelligent alerts, and interactive dashboards. Delphisonic serves over 21 countries and has been in business since 2012.

Delphisonic provides AI-powered predictive maintenance solutions that combine edge-processed data, real-time analytics, and industry-specific insights. Their integrated approach, featuring sensor hardware (DS-Track) and a modular analytics platform (DS-Insight), enables early fault detection, optimized maintenance strategies, and increased operational efficiency across sectors like rail, marine, energy, and industrial manufacturing. The DS-Track sensor processes data on-device with embedded Edge AI, offering real-time alerts up to 10x faster than cloud-based systems. DS-Insight transforms this data into predictive insights via AI-powered analysis, intelligent alerts, and interactive dashboards. Delphisonic serves over 21 countries and has been in business since 2012.
What they do: AI-powered predictive maintenance combining edge sensors (DS-Track) with an analytics platform (DS-Insight).
Tech focus: Edge AI on-device processing, real-time analytics and intelligent alerts.
Primary verticals: Rail, marine/shipping, energy (including wind/turbines), oil & gas, industrial manufacturing.
Scale claim: Site states 21+ countries served and 1,000+ sensors deployed.
Funding / stage: Profiles list multiple rounds (Seed and Series A); total funding reported in snapshot: $9,500,000.
Founders: Named founders across sources include Ali Acur, Gokhan Celebi, Albert Krakus, and Fatih Aktas.
Predictive maintenance and condition monitoring for industrial assets across rail, marine, energy, oil & gas and manufacturing.
2016
Data and Analytics
Seed round reported in profile summaries (Dealroom).
Profile views list a Series A as the latest round and snapshot metadata shows a last funding date of 2025-01-01; aggregate funding reported as $9,500,000.
“Investors named in profiles include Startupbootcamp, TEB Private Investor Society, and Microsoft for Startups MEA.”
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