The company provides an AI‑powered social listening platform that continuously ingests public posts, comments and video captions from major social networks such as TikTok, Snapchat, LinkedIn, Instagram and Twitter. Its NLP pipeline delivers real‑time sentiment scoring, entity extraction, topic clustering and demographic segmentation, accessible via interactive dashboards and a secure API for brand marketers and market researchers.
Funding
$3.7M 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 market researchers struggle to extract timely, structured insights from the massive volume of unstructured content posted on fast‑moving social platforms such as TikTok, Snapchat, and LinkedIn. Traditional survey‑based methods miss real‑world conversation dynamics, leading to delayed or incomplete understanding of consumer sentiment and emerging trends.
Solution
The company offers an AI‑powered social listening platform that continuously harvests public posts, comments, and video captions from major social networks. Advanced natural‑language processing pipelines perform sentiment scoring, entity extraction, and topic clustering across multiple languages. Processed data are delivered through interactive dashboards and RESTful APIs, enabling clients to monitor brand perception, detect emerging market signals, and benchmark competitor activity in near real‑time. The service also provides demographic and psychographic segmentation to surface insights that are directly actionable for product, marketing, and strategy teams.
Target Audience
Primary customers are brand marketers, consumer insights analysts, and market research firms that need automated, cross‑platform social listening to inform campaign planning, product development, and competitive intelligence.
Features
- Scalable data ingestion engine that connects to TikTok, Snapchat, LinkedIn, Instagram, Twitter, and emerging platforms via official APIs and headless web crawlers
- Multi‑modal NLP stack combining transformer‑based sentiment analysis, named‑entity recognition, and video‑caption transcription for text and audio content
- Real‑time topic modeling and trend detection using dynamic clustering and change‑point analysis
- Granular audience segmentation by age, geography, device type, and inferred interests, powered by probabilistic user profiling
- Customizable analytics workspace with drag‑and‑drop widgets, KPI alerts, and exportable CSV/JSON reports
- Secure, rate‑limited API for programmatic access to raw and enriched data streams, supporting OAuth 2.0 and API‑key authentication
- GDPR‑compliant data handling with automated content anonymization and opt‑out flagging mechanisms
- Continuous model retraining pipeline that incorporates user feedback and emerging slang to maintain high classification accuracy