Vini Gholmie
Founder / Managing Director
Mantis-AI
Mantis-AI utilizes advanced AI algorithms to automate the extraction, tagging, and organization of video content from raw footage, enabling efficient production and distribution of short-form clips. This technology addresses the challenge of managing large volumes of video data, significantly reducing content creation costs and enhancing viewer engagement through real-time insights and analytics.
- Artificial Intelligence
- Content & Publishing
- Media & Entertainment
- Software Only
Updated 23 months ago
Funding
Raised to date
$50KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
The increasing volume of raw video footage presents a significant challenge for content creators, as manually extracting, tagging, and organizing clips is time-consuming and costly. This inefficiency hinders the rapid production and distribution of short-form video content, limiting viewer engagement and potential revenue streams.
Solution
Mantis-AI offers an AI-powered platform that automates the process of transforming raw video footage into organized, short-form clips. By leveraging advanced AI algorithms, the platform automatically extracts, tags, and organizes video content, streamlining workflows and reducing production costs. The system provides frame-level recognition for content and context understanding, enabling users to quantify and qualify properties and moments within videos. Mantis-AI integrates with existing media asset management systems and business intelligence tools, facilitating efficient distribution and enhanced viewer experiences through data-driven insights.
Target Audience
Mantis-AI targets content creators, media companies, sports leagues, and marketing teams seeking to automate video production, enhance content discoverability, and maximize ROI through data-driven insights.
Features
- Automated video clipping and tagging using AI algorithms
- Frame-level content and context recognition for detailed video analysis
- Real-time detection of sponsor brand insertions for accurate exposure tracking
- AI-driven content insights for personalized playlist creation and distribution
- Integration with existing media asset management (MAM) and business intelligence (BI) systems via connectors
- Customizable service application architecture for tailored deployment
- Tools for brand exposure and data reporting, providing insights into property valuation and campaign strategy
- Live clipping and action tagging for real-time content creation