Complete Linear & Non-Linear TV Monitoring for Modern Broadcasters
No more guesswork, Track Every Viewer – Accurately Measure SVOD, TVOD, BVOD, Linear TV - Individually &
Effortlessly Across Multi-Screen.
Designed for all kind of Industries
BRANDS
Track brand visibility and audience engagement across broadcast channels with insights on brand impact, audience behavior, and competitor performance.
BROADCASTERS
Real-time audience and content performance analytics for TV networks and streaming platforms, including viewer demographics, content performance, and ad impact analysis.
AGENCIES
All Optimize campaign performance with precise targeting and measurement across all broadcast channels—powered by campaign analytics and audience insights.
Technology and Product
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OUR SERVICES
Everything Our Technology Delivers
Facial recognition (FR) is an object detection subclass that locates, analyzes, and identifies human faces in images/video.
Logo recognition is a specialized object detection task that identifies and verifies TV channel logos in video streams.
Object recognition is a computer vision task that detects and classifies objects (e.g., products, vehicles, text) in TV broadcasts, enabling automated content analysis.
Text recognition (Optical Character Recognition, OCR) detects and extracts on-screen text from TV broadcasts.
The LLM interprets the transcribed phrases, extracting semantic meaning and generating a probable classification or context, such as sentiment, topic, or speaker intent.
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The input audio is processed using Audio Fingerprinting technology, which identifies and matches distinct audio patterns—such as songs, advertisements, or dialogues—against a known reference database
The unrecognized audio segments are analyzed to detect wake words or trigger phrases such as “Breaking News,” “Exclusive,” or “Sponsored by.”
Precision Labelling for Smarter Content Management
Ensure every clip, ad, and program is accurately tagged for quick search, tracking, and reporting.
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Data Labeling
Enables precise tagging, categorization, and annotation of TV broadcasts using AI-assisted tools (frame-level markers, audio analysis, bounding boxes), allowing teams to process hundreds of channels faster with higher accuracy.
Labeled Data
Delivers structured, searchable, and insight-ready datasets that support ad verification, content performance analysis, archive enrichment, and automated highlight creation—driving stronger, data-backed decisions for broadcasters and media analysts.