Repsense provides Havel, an AI‑driven platform that ingests and analyzes text, broadcast, and video content in real time to detect misinformation, narrative manipulation, and reputation threats. It offers deep NLP, forensic attribution, and predictive trajectory modeling with about 90% accuracy, delivering early‑warning alerts and human‑grade analyst reports for enterprises, brand managers, and government or defence organisations.
Funding
€4M 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.
CCFounders
Product
Problem
Enterprises and governments struggle to detect, analyze, and respond to misinformation, narrative manipulation, and reputation threats that spread across text, broadcast, and increasingly video‑centric social platforms. Traditional media monitoring tools miss video content and lack predictive insight, leaving organizations vulnerable to blind spots and delayed response.
Solution
Repsense offers an AI‑driven platform—Havel—that ingests and analyzes public content from text, broadcast, and video sources in real time. The system applies deep natural‑language processing, entity recognition, sentiment and impact scoring, and narrative classification to quantify brand and reputation dimensions. Predictive models forecast the trajectory of emerging narratives with high accuracy, enabling early warning of disinformation campaigns. Forensic “Message DNA” tracing attributes content to its source, while automated AI analyst reports deliver human‑grade insights at machine speed. The platform consolidates alerts, digests, and simulation tools into a single dashboard for strategic decision‑making.
Target Audience
Primary customers are large enterprises, brand managers, public‑relations agencies, and government or defence organisations that need comprehensive, predictive monitoring of their reputation and information environment.
Features
- Unified ingestion of legacy media, social feeds, and video platforms (TikTok, Reels, YouTube) to eliminate coverage gaps
- Advanced entity recognition and source authority scoring to map brand mentions across content
- Sentiment, impact, and narrative models (including seven standard narratives and custom definitions) that score each piece on a –100 to +100 scale
- Predictive trajectory modeling with ~90% accuracy for narrative spread and potential escalation
- Forensic attribution (“Message DNA”) linking content to originating actors for attribution and accountability
- Automated AI analyst reports and real‑time alerts delivering human‑grade analysis at scale
- Simulation and scenario planning tools to assess potential narrative outcomes before they materialize