Traceability instead of a black box
Results are based on direct comparison of condition representations.
About SF2 Systems
Industrial Condition Intelligence
from Vienna
SF2 Systems delivers clear visibility into the real-time condition of machines, plants, and networks – fully deterministic, explainable, and operating without cloud reliance. We compare instead of predict: converting complex, heterogeneous sensor data into direct condition signals that bring critical developments into focus early.
- Viennese Deep Tech
- 100% deterministic
- Edge-native & Cloud-free
- Sensor-agnostic
Mission
We make machine states understandable
and comparable
Machines, plants, and industrial networks continuously generate vast volumes of telemetry. What is often missing is a clear, unified view of their actual operational state. SF2 consolidates signals across heterogeneous sources, transforms time windows into semantic fingerprints, and directly compares real-time conditions against established reference profiles. This makes gradual process drift, state shifts, and emerging anomalies instantly visible as traceable similarity trends.
SF2 is not a control system, nor does it replace existing sensors, PLCs, SCADA, or automation frameworks. Instead, it complements established plant infrastructure with a non-intrusive layer of intelligence—delivering deterministic status and trigger signals for direct integration into your existing OT environment.
Technological Origin
From Language Semantics to Machine Semantics
The technological foundation of SF2 is Semantic Folding. Originally developed over a decade for natural language processing, SF2 Systems applies this underlying mechanism to industrial time-series and sensor streams. Complex operational states are encoded into compact patterns, enabling direct comparisons between live behavior and known reference states.
Established in 2026 around this technology, SF2 Systems delivers deterministic condition intelligence across the entire lifecycle—from offline workstation evaluation to 24/7 edge execution. We provide actionable operational visibility without forcing cloud dependency, without resorting to black-box ML decisions, and without replacing existing automation systems.
Core Innovation: SF2 translates semantic representation from natural language to physical machine states – creating condition intelligence that is directly comparable, fully reproducible, and executable on local edge hardware.
Principles
What We Stand For
Data sovereignty by design
Analysis, models, and runtime can be operated entirely in the customer environment.
Integration instead of infrastructure change
SF2 complements existing OT, SCADA, and automation landscapes.
Validate before scaling
Only when the benefits are demonstrable do we plan the production rollout.
How we work with industrial partners
Industrial condition monitoring requires more than off-the-shelf models. We start with your specific machinery, technical challenges,
and available process data.
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01
Narrow Down the Technical Challenge
Define the specific operational states, subtle shifts, or failure modes that require early detection.
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02
Validate with Historical Data
Analyze existing sensor streams and SCADA logs locally to establish reference models.
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03
Verify Under Real Plant Conditions
Test and fine-tune live model responses directly at the machine before full deployment.
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04
Scale into Continuous Production
Roll out continuous 24/7 edge monitoring using SF2 Engine RT and dedicated hardware.
Location
Sovereign Industrial Intelligence—Made in Europe
SF2 Systems embodies a sovereign European approach to industrial AI: technically transparent, locally executable, and fully under the control of the domain experts who know their plants best. Our goal is not to maximize AI deployment for its own sake, but to deliver targeted condition intelligence that creates measurable operational value.
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