Oriane

Product Introduction

1. Definition: Oriane is a high-performance, AI-powered video intelligence platform and multimodal search engine. It functions as a structured data layer that sits atop major social video platforms—specifically TikTok, Instagram, and YouTube—to convert unstructured visual and auditory content into searchable, machine-readable datasets.

2. Core Value Proposition: While traditional social listening tools are limited to text-based metadata and profile bios, Oriane utilizes advanced computer vision and natural language processing (NLP) to "watch" videos like a human. This allows marketing teams and AI applications to bridge the information gap in the 91% of internet bandwidth occupied by video, enabling precise creator discovery, real-time trend spotting, and comprehensive competitive intelligence.

Main Features

1. Multimodal Video Search Engine: Oriane employs a sophisticated AI architecture that analyzes every frame of a video alongside its audio track and captions. Users can perform queries using natural language descriptions ("aesthetic unboxing of skincare"), specific visual prompts, or even image uploads. The system identifies brand logos, specific products, on-screen text, and situational context across millions of social media assets.

2. Structured Data Export & Pipeline Integration: The platform provides a robust data extraction feature where users can export rich CSV files. These datasets include granular details such as frame-by-frame visual tags, full transcripts, engagement metrics (views, likes, shares), and creator-specific metadata. This functionality is specifically designed for integration into custom LLM pipelines, such as Claude or internal brand analysis engines, to facilitate data-driven decision-making.

3. Creator Vetting and Affiliate Tracking: Beyond simple follower counts, Oriane analyzes the actual content of a creator’s video history. It uses proprietary "Shadow Reach®" metrics and engagement analysis to verify if a creator truly aligns with a brand's visual identity and values. The platform also includes tools for tracking affiliate performance and ad amplification, allowing brands to measure the direct ROI of creator partnerships through video-first intelligence.

Problems Solved

1. Pain Point: The "Video Data Black Hole." Conventional social listening tools rely on hashtags and captions, missing the actual content within the video. This leads to incomplete data and missed opportunities for brands in a landscape where Gen Z spends over four hours daily on video-centric apps. Oriane solves this by indexing the visual and auditory "dark data" that other tools ignore.

2. Target Audience: This platform is engineered for Enterprise Marketing Teams, Social Media Strategists, Influencer Marketing Managers, Brand Safety Officers, and Data Scientists who require structured social intelligence to power internal AI applications.

3. Use Cases:

• Competitive Spying: Identifying exactly when and how a competitor's logo appears in organic user-generated content.
• Trend Forecasting: Spotting "viral hooks" and emerging visual aesthetics before they reach peak saturation.
• Brand Safety: Scanning creator content for specific visual or verbal cues that may violate brand guidelines.
• Content Strategy: Analyzing top-performing industry videos to determine the optimal visual structure and script for new campaigns.

Unique Advantages

1. Differentiation: Traditional influencer platforms search profiles; Oriane searches the footage. Unlike legacy tools that aggregate text-based social mentions, Oriane provides a "video-first" approach, recognizing products and context that are never mentioned in the video's description or hashtags.

2. Key Innovation: The platform’s ability to process "What is on screen" vs "What is said." By synthesizing visual recognition with audio transcription, Oriane provides a 360-degree understanding of video context. This includes the proprietary ability to track brand mentions through visual logo detection even when the brand is not tagged or mentioned in the transcript.

Frequently Asked Questions (FAQ)

1. How does Oriane AI analyze social media videos for brand mentions? Oriane uses multimodal AI to scan TikTok, Instagram, and YouTube videos for visual logos, product placements, and verbal mentions. Unlike text-based tools, it can identify a brand even if it isn't tagged in the caption, providing a more accurate reflection of brand reach and "Shadow Reach®" metrics.

2. Can I export video transcripts and engagement data for AI analysis? Yes. Oriane allows users to export comprehensive datasets in CSV format, including full transcripts, visual tags, and engagement statistics. This data is optimized for ingestion into AI models like Claude or GPT-4, allowing teams to build custom content analysis pipelines and automated reporting.

3. How does Oriane help in finding niche creators and influencers? Oriane searches for creators based on their actual video content rather than just their bio keywords. By searching for specific visual themes, products they’ve used on camera, or topics they’ve discussed in their audio, brands can discover highly relevant niche creators who have a proven track record of producing content in specific categories.