Synergize
Process raw sensor feeds and existing system outputs into structured data with geographical context and source reliability.

01 / SeraFina
SeraFina combines multimodal data processing, predictive analysis, and contextual decision support in a modular, multiagent architecture.
Three processing layers
Process raw sensor feeds and existing system outputs into structured data with geographical context and source reliability.
Combine processed observations with historical and contextual information to assess potential hazards and missing information.
Assess known and estimated information against user settings, priorities, and doctrine to inform operator judgment.
Four model families
Perception
The product architecture pairs a fast YOLO computer-vision classifier with an RT-DETR model for more detailed visual analysis.
Communication
Speech and language models interpret radio communications and reports, bringing audio into the shared information picture.
Assessment
Processed sensor information and historical context support assessment of potential hazards and incomplete observations.
Decision support
The analysis layer reassesses available information against mission objectives and priorities to provide guidance to the operator.
Demo-stage results
These are company-reported demo results. The supplied deck does not specify the test dataset or methodology, and the figures are not independently validated production benchmarks.
Discuss the SeraFina demo