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SF2 Systems

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SF2 Suite SE

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Deterministic State Intelligence, a platform for industrial condition analysis and predictive maintenance. SF2 Systems is a Vienna-based deep-tech company specializing in condition monitoring, predictive maintenance, and industrial state analysis. The SF2 platform uses existing sensor, machine, and process data to make changes, drift, anomalies, and emerging problem states visible at an early stage. Instead of looking at individual measurements in isolation, SF2 condenses the interaction of multiple signals into comparable state fingerprints. This makes it possible to identify when a machine, plant, or process is changing – even when individual values are still within their normal ranges. SF2 runs locally at the edge or on-premises, without requiring a cloud connection, does not depend on large labeled fault datasets, and complements existing SCADA, condition monitoring, and automation systems. The technology is suitable for machines, pumps, drives, production plants, energy and process systems, as well as other industrial assets that generate operational data. The same approach can also be applied to life sciences, for example to multivariate laboratory, device, process, or biological measurement data, where the relevant state is determined not by a single parameter but by the interaction of many values. The goal is to reduce unplanned downtime, make maintenance more predictable, detect deviations earlier, and make better use of existing data for improved technical and domain-specific decision-making. At sf2systems.com, you can find case studies, product information, downloads, the permanently free SF2 Suite SE, and additional editions available in the shop

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What is SF2 Systems?

𝗦𝗙𝟮 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 is a Vienna-based deep-tech company developing software for real-time state analysis of complex machines, industrial systems, and processes. Our core technology, 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗙𝗼𝗹𝗱𝗶𝗻𝗴 𝗦𝗲𝗻𝘀𝗼𝗿 𝗙𝘂𝘀𝗶𝗼𝗻 (𝗦𝗙𝟮), transforms existing multi-sensor and operational data into comparable system-state fingerprints. Instead of evaluating signals in isolation, SF2 captures interdependencies across the system, making drift, anomalies, and critical states visible at an early stage. SF2 takes a fundamentally different approach to industrial AI. It does not depend on training-intensive black-box models or large labeled failure datasets. Its outputs are deterministic, reproducible, and explainable. Designed to complement existing 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗦𝗖𝗔𝗗𝗔, 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, SF2 is sensor-agnostic and suited to brownfield and OT environments. SF2 can run locally at the edge or on-premises, without cloud dependency, keeping sensitive production and process data within the organization. Typical applications include 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲, 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻. 𝗪𝗵𝘆 𝗦𝗙𝟮 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • 𝗦𝘆𝘀𝘁𝗲𝗺-𝗹𝗲𝘃𝗲𝗹 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴: unified state fingerprints from multiple sensor streams • 𝗘𝗮𝗿𝗹𝘆 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: detects gradual changes before critical states emerge • 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆: deterministic, reproducible outputs instead of black-box predictions • 𝗗𝗮𝘁𝗮 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: works with existing data without large labeled failure datasets • 𝗘𝗱𝗴𝗲-𝗿𝗲𝗮𝗱𝘆: built for local deployment and industrial integration Beyond industrial applications, we are also exploring selected use cases in biotechnology and life sciences. 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗦𝗲𝗻𝘀𝗼𝗿 𝗗𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴.

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Year Founded
2026
Website
sf2systems.com