skopıa
The command center of digital intelligence
The detection of driver errors through AI-powered early predictions, the prevention of accidents by generating timely warnings, and the 24/7 monitoring and supervision of vehicles engaged in intercity freight or passenger transportation, with the aim of preventing accidents.
From Noise to Intelligence framework
Simultaneous Filtering:
Millions of raw data instantly through strategic filters.
Smart Tagging:
content on the basis of sector, intention and emotion Automatically classifies
Contextual Attribution:
Logical chunks of data Combines into a network
Wide-Ranging Monitoring:
From social media cascades Full command of visual analysis.
BEYOND TEXT IMAGE ANALYSIS
FACE RECOGNITION
Seconds of searched people in live broadcasts Detection with sensitivity
VLM & OCR
Textual depiction of image frames and Reading the texts on the screen
OBJECT DETECTION
Such as a vehicle, ammunition, or logo in the media Automatic detection of objects
MULTILINGUAL STT
80% accuracy rate in Kurdish dialects (Soranil Kurmanji)
News and live stream analysis
Public domain news sites and live streaming merge in the same enrichment pipeline as social media
data.
STT Technology
Second-accurate text translation and instant word alarms
Semantic Clustering
It collects the same news described with different words in a single title.
24/7 Live Monitoring
Uninterrupted operation in TV, radio and internet broadcasts
The Cognitive Core: AI Content X-Ray
The Turkish-first, context-aware NLP engine makes ~200 classifications per second and separates the raw text into 5 different structured intelligence tags.
RECTOR DETERMINATION
Precise classification in 16 main sectors and 76 sub-sectors
INTENT ANALYSIS
Determination of intentions such as
complaints, requests or information
Emotion
6 basic emotion models such as anger, fear, admiration
POLARİTE
Measurement
of whether content is negative, positive, or neutral.