Don't just let AI see data. Let it understand reality. We bridge the gap between raw sensors and intelligent decision-making.
In the physical world—buildings, factories, parking lots—data comes from messy, heterogeneous sources.
Without structure, AI only sees numbers like Sensor_03 = 1.
It doesn't understand state, relationships, or context.
Friendtrol converts scattered data into semantic information. We turn raw signals into
ParkingSlot_A12 = Occupied.
This allows AI to skip data cleaning and jump straight to decision-making.
Sensors, PLCs, Network, Power (Raw Data)
Tagging, Relationship Mapping, State Maintenance
AI Models, Analytics, Dashboards (Decision Making)
We provide the infrastructure so your AI can focus on intelligence, not integration.
Friendtrol FAS software integrates diverse brands and protocols. Whether it's occupancy sensors, power status, or network quality—all sources are normalized into one structure.
We assist in defining the "Name and Meaning" of data. Similar to LLM tokens, we ensure every data point carries clear, understandable semantics before it reaches the AI.
AI doesn't need to bind to specific device hardware. It simply queries the Context Pool for status updates, enabling instant analysis and real-time decision-making.
Reliable hardware to run the FAS Context Layer in any environment.
High-reliability data aggregation