Nextatlas
The world's first AI-powered trend forecasting platform predicting consumer behavior with precision.
Transform billions of social conversations into predictive consumer insights with AI-driven historical analysis.
In 2026, the technology formerly known as Crimson Hexagon has been fully unified into the Brandwatch Consumer Intelligence (BCI) platform. It serves as the enterprise standard for deep-horizon social listening, leveraging the proprietary Brightview machine learning engine to process unstructured data. The platform’s technical architecture is built on a massive repository of over 1.4 trillion historical posts, dating back to 2008, allowing for longitudinal studies that traditional crawlers cannot replicate. By 2026, the platform has integrated generative AI layers to provide automated 'Why' summaries, explaining shifts in consumer sentiment without manual data slicing. Its competitive edge lies in its supervised machine learning capabilities, where users can train custom classifiers to identify niche topics with high precision. This is complemented by advanced image recognition and audience psychographics, positioning it as a strategic tool for Global 2000 companies seeking to align product development with real-world consumer behavior. The infrastructure is optimized for high-volume data ingestion and real-time signal detection, making it an essential component of the modern enterprise's data stack for proactive crisis management and trend forecasting.
A supervised machine learning algorithm that learns from human-coded examples to categorize data with 90%+ accuracy.
The world's first AI-powered trend forecasting platform predicting consumer behavior with precision.
The premier AI-powered consumer intelligence platform for enterprise-grade social listening and market strategy.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Computer vision analysis of images across social media to detect logos, objects, and scenes without text mentions.
Integration with the 'Audiences' tool to map interest-based communities based on following patterns and bio data.
Combines social listening data with Google Search Trends within a single dashboard.
Unsupervised learning clusters that detect emerging topics before they reach peak volume.
Instant access to a petabyte-scale index of historical social data reaching back over a decade.
LLM-driven analysis of data spikes that generates a natural language explanation of the cause.
Understanding if a new geographical market has a demand for a specific product category.
Registry Updated:2/7/2026
Measuring the long-term brand damage after a negative news event.
Linking offline advertising (Super Bowl, Billboards) to online conversation.