Handraise provides an AI‑native platform that automatically clusters articles, social posts, and large‑language‑model summaries into live narrative clusters, giving communications and reputation teams real‑time insight into how their brand is perceived across media, markets, and AI systems. The system visualizes narrative spread, detects emerging risks, and lets users query the data for evidence‑based answers, enabling proactive management of brand stories at enterprise scale.
Funding
$6.4M 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.
6OFounders
Product
Problem
Organizations rely on fragmented media monitoring tools and slow reporting cycles that cannot keep pace with the rapid formation of narratives across human and AI channels, leaving brands vulnerable to unmanaged reputation risks.
Solution
Handraise delivers a real-time, AI‑native platform that clusters articles, social posts, and AI summaries into living narrative clusters, revealing how a brand is being understood across media, markets, and large language models. By unifying narrative intelligence, media signals, and machine interpretation, the system provides communications, corporate affairs, and reputation leaders with actionable insight into emerging storylines, perception gaps, and narrative risks. Users can query the platform to receive clear, evidence‑based answers rather than speculative summaries, enabling proactive shaping of brand stories before they solidify. The platform also tracks alignment between human and machine perception, helping teams anticipate how AI systems may influence stakeholder decisions. This integrated approach supports executives with precise, timely intelligence to protect and grow reputation at enterprise scale.
Target Audience
Primary customers are communications, corporate affairs, and reputation management teams at large enterprises and Fortune 500 companies that need real‑time insight into brand narratives across human and AI audiences.
Features
- Automatic clustering of all mentions into dynamic narrative clusters that update in real time
- Visualization of narrative spread, velocity, and influence across media, social, and AI channels
- Comparative analysis of human (journalist, stakeholder) versus machine (LLM) interpretation of brand narratives
- AI‑driven risk detection highlighting emerging negative storylines and opportunity hotspots
- Query‑based interface that returns evidence‑backed answers grounded in the underlying narrative data
- Enterprise‑grade security, data encryption, and integration hooks for existing PR and analytics workflows