We are excited to announce our $2M seed round led by Joa Capital.
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Brands using social listening spot crises 3x faster and respond in real time—protecting reputation before damage spreads.
Of brand damage from a PR crisis happens within the first 6 hours of the event—before most teams even know it's happening.
Average cost of a major brand crisis that could have been prevented with early detection and rapid response.
Continuous sentiment spike detection with crisis velocity tracking. Alert-driven workflow surfaces emerging risks before they reach viral threshold.
Track which content formats, themes, and narratives gain traction. Identify viral patterns and content amplification networks.
Track journalist coverage, press narrative framing, and media amplification. Identify key media influencers and their reach impact.
Bulk reporting workflows with platform-specific takedown protocols. Export attack profiles for coordinated enforcement action.
Semantic distance calculation using cross-lingual embedding spaces. Compares owned messaging (website, campaigns) to earned perception (market conversations)—quantifying positioning gap with drift index (0-100 scale). Alerts trigger at >20% threshold.
Longitudinal narrative modeling with theme emergence and decay tracking. Applies temporal clustering to identify dominant story arcs, track sentiment evolution within themes, and forecast narrative trajectory using historical pattern analysis.
Unsupervised topic modeling with hierarchical clustering. Tracks brand theme prevalence, competitive theme positioning, and narrative momentum. Uses gradient-based analysis to predict which themes will dominate future conversations.
Behavioral fingerprinting with network graph anomaly detection. Identifies coordinated inauthentic behavior (CIB) through posting pattern synchronization, content similarity scoring, and temporal clustering analysis. Bot classification model with 96.7% precision.
Multi-factor fraud scoring using account metadata analysis, engagement authenticity assessment, and network relationship validation. Flags fake reviews, astroturfing, and impersonation campaigns with confidence-weighted threat severity (0-100).
Cascade risk modeling with exponential growth curve fitting. Predicts viral threshold crossing probability using engagement velocity, network amplification patterns, and historical virality signatures. Forecasts viral reach 24-72 hours in advance.
