ViralMoment utilizes AI and computer vision to analyze consumer insights from social video content, tracking over one billion videos to identify emerging trends and brand mentions in real-time. This technology enables brands to capture critical moments and optimize their marketing strategies by providing data-driven insights that traditional analysis methods often miss.
Funding
$2.5M raised to dateRaised 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.
CMCVSGFounders
Product
Problem
Brands struggle to efficiently analyze the vast amount of social video content to identify emerging trends, brand mentions, and key consumer insights. Traditional methods of analysis are often too slow and can miss critical moments happening within videos, leading to missed opportunities for marketing optimization and competitive advantage. The sheer volume of video data makes manual analysis impractical and costly.
Solution
ViralMoment provides an AI-powered social video analytics platform that enables brands to understand consumer insights within social video content at scale. The platform analyzes over one billion videos to identify emerging trends, brand mentions, and other key data points in real-time. By leveraging computer vision and machine learning, ViralMoment extracts frame-by-frame insights that are often missed by traditional social listening tools, allowing brands to capture viral moments and optimize their marketing strategies. The platform's AI Agents are designed to interpret video-native signals, surfacing creator patterns, visual trends, and cultural momentum, enabling users to move faster from noise to signal and focus on deeper analysis.
Target Audience
ViralMoment primarily targets brands, agencies, insights directors, CMOs, social media leads, and social intelligence professionals seeking to understand consumer behavior and optimize marketing strategies through social video analysis.
Features
- AI-powered analysis of over one billion social videos
- Real-time identification of emerging trends and brand mentions
- Frame-by-frame analysis using computer vision and machine learning
- AI Agents for interpreting video-native signals and surfacing creator patterns
- Competitor benchmarking to calculate share of voice and identify market share opportunities
- Trendspotting to increase awareness and identify optimal times to engage
- Engagement and campaign tracking to measure activities and calculate ROAS and ROI
- IP tracking to measure which characters and moments resonate with fans
- Brand safety monitoring to capture potential brand threats or misunderstandings