Blending creativity and intelligence to scale storytelling, personalise engagement, and transform content production

Real-world applications that drive measurable results
Agencies and brands spend hours rewriting content for tone, region, and channel (web, social, print). An AI tool can generate campaign copy, product blurbs, or ad headlines calibrated to a client's specific brand voice (e.g., "formal", "playful", "luxury"), with one-click export for social or CMS platforms.
Post-production teams waste time on manual editing, trimming, and subtitling. An AI system can analyse video/audio files to auto-generate captions, multilingual subtitles, and highlight reels based on emotion or keyword density, integrating with YouTube, TikTok, or corporate training content.
Brands can't see which content performs best by theme, language, or emotion. An AI system can analyse campaign performance data (ads, engagement, CTR) to identify top-performing tones or visuals, generating insights like "Posts with earthy tones... perform 32% better with Gen Z audiences."
Creative teams don't have structured insight into what imagery drives clicks. A computer vision model can analyse brand imagery (colour, composition, emotion, object types), correlate those visual attributes with engagement data, and automatically suggest creative direction.
Agencies want to scale content generation without scaling teams. A unified AI tool can manage concept-to-copy-to-imagery generation on one interface, automatically generating campaign decks, moodboards, captions, and visuals, with optional export to Canva or Adobe.
Production houses and marketing teams waste time on idea structuring. An AI assistant can help generate video or ad storyboards based on simple prompts (e.g., "A cinematic 30-sec ad for local craft coffee"), suggesting dialogue, visual flow, and shot composition.
Why AI matters for media, entertainment & advertising
Readers were abandoning long-form articles after only a few paragraphs, leading to high bounce rates and low return visits. The platform needed a faster, more engaging way for users to consume and understand content.
Zenaight built a proof of concept AI summarisation engine that condenses each article into a single, meaningful sentence. The system identifies the story’s key topic and sentiment, allowing readers to absorb information instantly while preserving the tone and intent of the original piece.