Logos
Track branded visual assets anywhere they appear on screen.
AI-powered object detection
Follow your Brand & Audience
Rialytiq detects logos, products, people, and context in video content - turning on-screen exposure across sports, streaming, and broadcast environments into measurable marketing intelligence.
5000+
live TV sources and platforms monitored worldwide
4
detection layers: logos, objects, context, and faces
API
dashboard or API delivery into your analytics stack
Built for visibility analytics
Measure where, when, and how long your brand appears
- Brand appearance tracking across video content
- Sponsorship exposure and ROI evaluation
- Competitive benchmarking and market research
- Context-aware analysis with dashboard and API outputs
Platform overview
AI-based object detection for modern marketing analytics
Rialytiq is an AI-powered system for detecting objects such as logos, items, and people in video content. By analyzing those appearances, it helps brands and rights holders measure the effectiveness of marketing investments with greater precision.
Use cases
- Measure brand appearance in video content
- Determine the value of sponsorship exposure
- Run visual market research across titles and events
- Benchmark competitors by on-screen presence
- Support data-driven marketing performance reviews
What clients get
- Detailed appearance data: where, when, and how long
- Contextual insights about placement and environment
- AI-driven visibility scoring against competitors
- Seamless delivery through dashboard or API
Objects
Identify products, vehicles, and key commercial objects.
Context
Add meaning to appearances such as in hand, on table, or in background.
Faces
Recognize people, athletes, ambassadors, and VIP appearances.
Main applications
Built for product placement and sports competition
Rialytiq supports both non-sports entertainment workflows and fast-moving sports broadcasts, with the same goal: turn visual exposure into actionable measurement.
01
Product Placement
Detect branded products and logos in films, series, documentaries, and other non-sports environments.
- Contextual tagging such as on a table or in a hand
- Optional enrichment with location data such as pub or office
- Placement analysis for effectiveness, ROI, and competitor tracking
02
Sports Competition
Tailored for live broadcasts, replays, and highlight clips with sponsor logos, vehicles, and face tracking.
- Contextual enrichment and optional location tagging
- Athlete and ambassador visibility monitoring
- Clear sponsorship ROI and exposure insights across events
Decision-ready outputs
Detailed data, context, benchmarks, and delivery options
From raw detections to executive reporting, Rialytiq turns visual appearances into information that analysts, sponsorship teams, and brand marketers can act on immediately.
Detailed appearance data
Know exactly where, when, and for how long your brand is visible.
Contextual insight
Evaluate on-screen relevance by placement, environment, and object relationships.
Visibility scoring
Benchmark presence and exposure quality against competitors.
Flexible delivery
Use the Rialytiq dashboard or connect results to your own BI stack via API.
Face recognition
Effortless brand ambassador tracking
Rialytiq clusters detected faces into groups with unique IDs, making it possible to name a person once and recognize them across current and previously analyzed content.
- Track ambassador and athlete appearances across all video content
- Measure brand value generated by every appearance over time
- Apply named identities retroactively to past detections
- Reduce repeated manual work for known individuals
User interface
Operations, validation, drill-down analysis, and dashboard reporting
The platform is web-based, collaborative, and designed to support fast navigation with minimal training effort.
Operations view
Operations overview
Get in touch
Ready to measure on-screen brand presence with more confidence?
Talk to Rialytiq about product placement analytics, sponsorship measurement, face recognition workflows, or integration into your existing reporting stack.