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Engagement suite adding live chat, comments, polls and live blogs to publisher and brand sites to grow and monetize audiences.
AI video social-listening platform that scans social video content to surface untagged brand mentions, sentiment, and creator leads.
Free AI assistant from I4DI that mines 13,000+ development documents to give tailored guidance for aid and NGO projects.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
Free trial available
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Threaded comments
- ✦Real-time group chat
- ✦Live blog streams
- ✦AI polls and moderation
- ✦First-party data capture
- ✦No-code website embed
- ✦AI video analysis of audio, visuals, and captions
- ✦Untagged brand mention and UGC detection
- ✦Creator sourcing by niche, audience, and brand fit
- ✦Outbound comment engagement tracking
- ✦Competitive benchmarking across brands
- ✦Brand sentiment and safety monitoring
- ✦Multi-agent CrewAI system
- ✦Insights from 13,000+ USAID/DEC documents
- ✦Specialized agents (methodology, technical, MEL, compliance, etc.)
- ✦Contextualized, prompt-based recommendations
- ✦Free public-good access
- ✦On-device AI processing
- ✦Simple search functionality
- ✦Offline support
- ✦Data reset option
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- →Live event coverage
- →Growing on-site community
- →Monetizing audience with ads
- →Capturing first-party data
- →Finding untagged user-generated content about a brand
- →Sourcing creators that match specific audience criteria
- →Measuring campaign impact across social video
- →Benchmarking a brand's social presence against competitors
- →Designing development programs
- →Evaluating and monitoring projects
- →Ensuring USAID compliance
- →Structuring reports and communications
- →Memorizing details from machine learning papers
- →Finding important findings from computer vision research
- →Keeping track of natural language processing paper reviews
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents