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What is Radical Whale?

Radical Whale is an AI-powered platform for working with structured data and intelligent agents, combining flexible data tables with AI-driven automation, analysis, and rich documentation.

Key Features

AI Agents

Deploy intelligent agents with custom models, prompts, and tool access to process your data automatically.

Intelligent Datasets

Import, organize, and manage data with AI-powered processing for each cell and column.

Custom Tools

Create API tools and connect MCP servers to extend agent capabilities and integrate with external services.

Rich Pages

Create AI-powered documentation with workspace and record-level pages.

How It Works

Radical Whale operates on five core concepts that work together:

1. Workspaces

Your team’s dedicated environment where all resources are organized. Each workspace has its own datasets, agents, tools, pages, and team members with specific roles and permissions.

2. Datasets

Structured data tables with intelligent columns. Import CSV files, define column types and AI processing instructions, and let agents enrich your data automatically.

3. Agents

AI-powered assistants configured with specific models (GPT-4o, Claude), system prompts, and access to tools. Agents process dataset columns and power interactive chat conversations.

4. Tools

Custom integrations that extend agent capabilities. Create API tools for REST endpoints or connect MCP servers for dynamic tool discovery.

5. Pages

Rich documentation with AI content generation. Create workspace pages for team knowledge or record pages for contextual analysis with page context for consistent output.

Getting Started

Quick Start

Get up and running with Radical Whale in just a few minutes.

Create Your First Workspace

Set up your team workspace and invite collaborators.

Import Your Data

Learn how to import and structure your data for AI processing.

Build AI Agents

Create intelligent agents to process and enrich your data.

Use Cases

Business Intelligence: Research companies, enrich contact lists, analyze competitive landscapes, track funding and market trends. Data Enrichment: Enhance datasets with AI-powered research, validation, and cross-referencing from multiple sources. Content Creation: Generate documentation, reports, and analysis with AI assistance and consistent style through page context. Research Automation: Gather and synthesize information automatically with agents that use web search and API tools. Knowledge Management: Build team wikis, project documentation, and research libraries with AI-powered pages.

Need Help?

Core Concepts

Understand workspaces, datasets, agents, tools, and pages.

User Guides

Step-by-step tutorials for all platform features.

Support

Get help from our support team.