Palver provides a social trend analytics platform that aggregates and normalizes data from messaging apps, social media, news, radio, and TV. Using NLP and statistical models, it delivers real‑time topic detection, sentiment scoring, and visual dashboards, with API access for integration into marketing, media, and research workflows.
Funding
$500K 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
Organizations lack a unified view of conversations happening across fragmented messaging apps, social platforms, and traditional media, making it difficult to detect emerging topics, gauge public sentiment, and respond quickly to shifts in the communication landscape.
Solution
Palver offers a social trend analytics platform that continuously aggregates content from messaging services (WhatsApp, Telegram), short‑form video (TikTok), discussion forums (Reddit), mainstream news outlets, radio, television, and social networks (X, Instagram). The platform normalizes and indexes this data, applying natural‑language processing and statistical models to surface emerging topics, sentiment trends, and audience insights. Users can explore the results through interactive dashboards, export datasets, or integrate the analytics via APIs into existing marketing, media‑planning, or research workflows. By providing a single source of truth for cross‑channel communication dynamics, Palver enables data‑driven decision‑making without the need to manually monitor each channel.
Target Audience
Primary customers are marketing departments, media agencies, and academic or market research teams that require comprehensive, cross‑channel insight into public discourse.
Features
- Automated ingestion pipelines for over 10 major data sources, including private messaging apps, social media, and broadcast media
- Real‑time topic detection and sentiment scoring powered by NLP models tuned for Portuguese and multilingual content
- Interactive visual dashboards with trend timelines, geographic heatmaps, and influencer identification
- Customizable alerts that notify users of sudden spikes or shifts in specific keywords or themes
- RESTful API and SDKs for seamless integration of analytics into CRM, BI tools, or proprietary research platforms
- Data privacy controls that anonymize personal identifiers while preserving analytical granularity