Research & Data
Data analysis, summarization, and research assistants
14 tools
Data analysis, summarization, and research assistants
14 tools
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AI workspace for reproducible scientific research that unifies literature search, Python/R analysis, visualizations, and scientific writing in one traceable environment.
OpenHunt is an AI-native product discovery layer where autonomous agents analyze submissions before human validation for merit-driven product visibility.
Zetik is an AI agent team that runs a full intelligence cycle across podcasts, papers, code, and news—collecting, filtering, analyzing, and briefing in near real time.
Prompt analytics and citation mapping for AI search. Tracks brand mentions, rankings, and citations across ChatGPT, Claude, Gemini, and Perplexity AI platforms.
OCR service with self-verification checking that detects extraction errors automatically via API or web app for processing receipts, invoices, and forms into queryable tables.
Real-time global intelligence dashboard aggregating 500+ news feeds with AI-powered synthesis, geopolitical tracking, infrastructure monitoring, and financial intelligence in unified interface.
Unified workspace for AI-powered data analysis and visualization combining plotting, analysis, and interactive exploration.
Lium AI helps research teams analyze complex multimodal scientific datasets using natural language queries and agentic AI reasoning.
Databox is a business data integration tool that plugs company metrics into Claude via Model Context Protocol for real-time AI analysis and insights.
Autonomous research agent powered by Gemini 3.1 Pro that plans queries, searches web and proprietary data, synthesizes findings into cited reports. Supports MCP tools, collaborative planning, and multimodal input for enterprise workflows.
ProductBridge is an AI agent that automatically collects and synthesizes product feedback from multiple platforms including review sites, support tickets, and social channels.
Hex is an agentic analytics platform for data teams that combines notebooks, SQL, Python, and AI agents for collaborative data analysis and visualization.
Context is an AI platform that provides personalized enterprise search and knowledge discovery capabilities for organizations.
Semantic Scholar uses AI to organize and summarize research papers, helping researchers find relevant academic work and understand key findings efficiently.