accelerators

Engagement

Our audience engagement accelerators leverage AI-powered recommendation engines, brand intelligence, and OTT experience configuration to personalize viewer journeys, optimize platform interactions, and automate audience engagement strategies. Through content intelligence and experience orchestration, we increase engagement, strengthen brand affinity, improve viewer satisfaction, and drive long-term audience loyalty.

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1. Personalized recommendation engine 

Connect every viewer with the content they'll love 

As content libraries continue to grow across OTT platforms, broadcasters, and streaming services, helping audiences find the right content has become just as important as creating it. Recommendation engines often struggle to keep pace with changing viewer preferences, expanding catalogues, and evolving consumption behaviours, making it harder to drive engagement and maximise visibility.

Personalized recommendation system brings intelligence to content discovery through AI-driven personalisation. By combining viewer behavior, content metadata, semantic understanding, and configurable recommendation strategies, it delivers highly relevant content recommendations tailored to every viewer. With continuous performance monitoring, flexible AI model selection, and real-time optimization, media organizations can increase viewer engagement, surface content discovery, improve viewer retention, and maximize the value of their content libraries.

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 Increase viewer engagement 

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 Improve content discovery 

 

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 Enhance recommendation accuracy 

Key features

AI-powered content recommendations

Generate personalised recommendations using LLMs, semantic search, and configurable recommendation models.

Intelligent audience profiling

Build dynamic audience profiles by combining user behavior, viewing history, preferences, and content interactions.

Flexible AI model selection

Choose from multiple embedding models. Configure and optimize and recommendation approaches based on engagement goals, content strategy, audience segments, accuracy, and cost.

Configurable recommendation rules

Customize recommendation logic using business rules, editorial priorities, content freshness, genres, languages, and audience preferences.

Recommendation performance analytics

Track recommendation quality through interactive dashboards, engagement metrics, click-through rates, and historical performance analysis.

Continuous learning & optimization

Continuously adapt recommendations as new content, viewer interactions, and behavioural patterns become available.

 

2. Brand voice composer

Make every message sound like your brand

As organization creates content across markets, channels, and languages, maintaining a consistent and recognizable voice becomes increasingly difficult. A message that works in one market may lose its tone, intent, or cultural relevance when translated or adapted for another. At the same time, content teams need to move quickly without compromising the voice and messaging that makes the brand recognizable.

Brand voice composer turns brand guidelines into an active layer of intelligence across the content lifecycle. It evaluates scripts and communications against defined tone, style, and messaging principles, adapts content for different audiences and geographies, and provides measurable insights into brand voice alignment before content moves forward. With AI-powered segmentation, translation, feedback analysis, and real-time quality insights, teams can scale localized communication while keeping the brand recognizable in every market.

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 Improve brand voice consistency  

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 Preserve brand voice across languages 

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 Increase content quality 

 
 
Key features


Brand voice engine & assessment

Turn brand guidelines in active AI guardrails and measure alignment with brand voice to evaluate localization quality across content.


Intelligent content localization

Adapt messaging for different geographies and audience segments while preserving brand identity, tone, and contextual meaning.


Audience & market adaptation

Tailor messaging for different audience groups, regions, and communication contexts while maintaining consistency.

 

Feedback & quality intelligence

Analyze content feedback and project-level metrics to identify recurring quality issues, monitor trends, and improve future content.

AI-powered issue correlation & scoring

Combine findings across video, audio, and subtitles, remove duplicate issues, assign severity and confidence, and generate an overall quality score with recommendations.

Brand operations insights

Provide centralized visibility into voice scores, translation quality, content performance, and granular quality metrics.

 

3. OTT app configurator

Change themes in OTT experiences with ease

Building an OTT experience across screens is rarely just a matter of choosing a template. Each platform, device, and viewing environment brings its own design patterns, interaction models, and content requirements. What begins as a creative vision can quickly become a complex exercise in designing, configuring, validating, and managing screen experiences across multiple platforms and devices.

Agentic OTT configurator turns that process into an intelligent, guided experience. Starting with a theme and target platform, it understands the brand's visual personality and translates it into production-ready OTT screen configurations, from carousels and tiles to item details and video players. A conversational workflow guides the experience, while AI-generated design decisions, device-aware layouts, schema validation, and human review ensure every screen remains on-brand, consistent, and ready to preview.

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Accelerate OTT experience creation

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Ensure consistent OTT experiences

 

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Scale multi-platform deployment

Key features


Conversational experience design

Capture the theme, target platform, device, and required UI modules through a guided conversational workflow.


Intelligent design system generation

Translate a theme's personality into a structured design system covering colors, typography, shapes, layouts, and interaction states.


Device-aware UI configuration

Automatically adapt UI defaults and interaction patterns to the requirements of different OTT platforms and viewing devices.


Modular screen generation

Generate and configure individual OTT modules such as carousels, tiles, item details, and video players, with the flexibility to select, exclude, and customize components independently.


Governed configuration & validation

Validate field-level changes against predefined schemas while maintaining approval checkpoints and controlled edits throughout the configuration process.


Interactive experience preview

Assemble configured components into a live click-through experience, enabling teams to preview the final OTT interface before development.

 

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