Elv offers a content‑moderation platform that uses AI to monitor social‑media comments 24/7, automatically hiding harmful posts with at least 95% confidence and routing lower‑confidence items to human reviewers. The hybrid system provides customizable filters, multi‑language support, and real‑time analytics on audience sentiment and post performance, helping brands and media organizations maintain reputation while reducing manual moderation workload.
Funding
$547.2K 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.
Founders
Product
Problem
Brands and media organizations struggle to monitor and control toxic, hateful, or misinformation‑laden comments on their social media channels, which can damage reputation and require extensive manual review by moderators.
Solution
Elv provides a content‑moderation platform that combines AI‑driven comment analysis with human expert review. The AI scans comments 24/7, automatically hides content it flags with at least 95% confidence, and forwards lower‑confidence items to human moderators for verification. This hybrid approach delivers around 95% moderation accuracy while reducing the workload of social‑media teams. Processed comments, hidden/deleted items, and identified fake accounts are reported through a dashboard that also offers analytics on top‑performing topics and audience sentiment. The system supports custom brand‑specific term lists and operates across multiple social networks and languages.
Target Audience
Primary customers are media companies, brand marketing teams, and public‑sector communication units that manage large social‑media presences and need scalable, reliable comment moderation.
Features
- Continuous 24/7 AI monitoring of comment streams on supported social platforms
- Automatic hiding of hateful or harmful comments with ≥95% confidence
- Human‑in‑the‑loop review for comments below the confidence threshold
- Customizable filter lists for vulgar, offensive, sexual, or brand‑specific terms
- Real‑time analytics on post performance, audience feedback, and sentiment trends
- Suggested auto‑likes and reply recommendations to boost engagement
- Multi‑language support and integration with major social networks
- Dashboard reporting of processed comments, hidden/deleted content, and fake‑account detection