Loading SaaS profile...
Pavuk AI
AI platform converting web sources into structured exportable data.
What it does
• Extracts unstructured text, comments, and public content from web pages, social networks, and messengers. • Converts raw digital communications and online data into structured formats like JSON, CSV, and Excel. • Syncs extracted data streams into CRMs and databases like HubSpot, Microsoft Dynamics, and MySQL. • Offers flexible deployment models, including secure cloud and self-hosted on-premise configurations.
Why it works
AI-powered parsing handles diverse web structures and digital communication formats automatically. Self-hosted and cloud deployment options accommodate strict enterprise data governance and compliance needs. No-code extraction workflows allow non-technical users to build and run scrapers without writing scripts. Direct integrations with CRMs and BI platforms eliminate manual data reformatting and transfer steps.
Category: AI & Automation
Team Size: 11-25
Visit Website
As of 2026
AI & Automation
Revenue: 0-$100k ARR
AI platform converting web sources into structured exportable data.
Overview
Pavuk AI is a data extraction and web scraping platform developed by SemanticForce that converts online sources into structured datasets. It allows users to capture information across websites, social networks, messaging channels, YouTube comments, and review platforms without complex coding. Extracted data can be exported to Excel, CSV, or JSON and synced directly into CRM systems or enterprise databases. The platform supports both cloud and self-hosted on-premise deployments.
Founded year: 2023
Funding status: Bootstrapped
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: React, Node.js, Python, AWS, PostgreSQL
Platform: Web
Integrations: HubSpot, Microsoft Dynamics, MySQL, Slack, Google Forms, ClickUp, Telegram, Onlizer
Founder story
Pavuk AI was developed as a specialized data extraction unit under SemanticForce, a media intelligence and data analytics provider operating since 2009. Designed to simplify web scraping and digital communication archiving, it allows teams to convert web, social, and chat data into structured inputs for AI tools and enterprise workflows.
What it does
- • Extracts unstructured text, comments, and public content from web pages, social networks, and messengers
- • Converts raw digital communications and online data into structured formats like JSON, CSV, and Excel
- • Syncs extracted data streams into CRMs and databases like HubSpot, Microsoft Dynamics, and MySQL
- • Offers flexible deployment models, including secure cloud and self-hosted on-premise configurations.
Who it's for
- Data Analysts
- Market Research Teams
- Growth Hackers
- Enterprise Compliance Teams
Why it works
- AI-powered parsing handles diverse web structures and digital communication formats automatically
- Self-hosted and cloud deployment options accommodate strict enterprise data governance and compliance needs
- No-code extraction workflows allow non-technical users to build and run scrapers without writing scripts
- Direct integrations with CRMs and BI platforms eliminate manual data reformatting and transfer steps.
Growth strategies
- Leveraging the existing enterprise customer base of parent company SemanticForce.
- Listing on SaaS review directories and data connector marketplaces like Onlizer.
- Search engine optimization targeting web scraping and platform- specific comment extraction queries.
- Offering a no- code web-app interface with direct CSV and JSON download capabilities.
Alternatives
Comparison overview
- Focuses specifically on structured communication and website extraction with native enterprise compliance and on-premise options.
- Backed by SemanticForce media intelligence infrastructure rather than standalone proxy services.
- Offers direct exports to business apps like HubSpot and Microsoft Dynamics.