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No-code platform to run AI, web-scraping and search workflows across thousands of spreadsheet rows in parallel for SEO and outreach.
Natural-language AI web scraper that turns plain-English data requests into automated crawls with built-in CAPTCHA solving.
Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
Document-intelligence and GraphRAG platform for regulated industries, extracting traceable, verified insights from complex files.
No public pricing
- ✦No-code AI workflow builder
- ✦Batch processing of thousands of rows
- ✦Web scraping and search enrichment
- ✦Multiple LLM model support
- ✦CSV/JSON/Sheets import
- ✦Export to CSV, JSON, HTML, Markdown
- ✦Free SEO utilities
- ✦Natural-language query-based scraping setup
- ✦Automatic CAPTCHA solving
- ✦Tailored crawlers for roughly 100 named websites
- ✦Universal beta scraper for other public sites
- ✦CSV export of results
- ✦Click-and-scroll automation
- ✦Graded weekly competitor intelligence briefs
- ✦Live buyer-intent and complaint feed
- ✦Reddit lead and subreddit discovery
- ✦AI content writer from trending discussions
- ✦MCP integration and Chrome extension
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦GraphRAG combining knowledge graphs and vector retrieval
- ✦Ontology building and enrichment from source data
- ✦Text-to-graph pipeline for building graph databases from raw text
- ✦Document parsing with source traceability
- ✦NLP APIs for text mining and classification
- ✦Private GPT chatbot building
- ✦Enterprise deployment (cloud/VPC, SSO, audit logs, SLA)
- →Generating SEO content and metadata at scale
- →Lead enrichment and outbound personalization
- →Bulk web scraping and data extraction
- →Batch summarization and research
- →Analysts needing structured web data without writing scraping code
- →Teams monitoring multiple sites for changes
- →Businesses replacing manual data collection with plain-language queries
- →Tracking competitor changes and complaints
- →Finding high-intent buyers on Reddit
- →Turning discussions into ready-to-post content
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Query clinical, legal, or financial documents with traceable answers
- →Improve RAG accuracy for high-risk, regulated content
- →Structure raw text into knowledge graphs for enterprise AI