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Wand AI

Wand AI is an AI platform for building a collaborative workforce of human employees and autonomous agents. Ideal for enterprises, it helps automate workflows.

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January 8th, 2026

About Wand AI

Wand AI is an AI platform that helps enterprise teams achieve autonomous workflow automation without moving their underlying data.

The platform functions as a multi-agent cognitive layer sitting on top of various Large Language Models. It enables a hybrid workforce where humans and AI agents collaborate seamlessly to solve complex business queries. Unlike standard chat interfaces, Wand AI acts as a model-agnostic operating system that connects directly to cloud data warehouses. It supports indexing up to 5 million words and 5,000 web pages per chat session. The SOC2 Type 1 certification ensures enterprise-grade security for all corporate data processing.

Environment – Cloud, On-Premise, Private Cloud
Browser / Automation – Web-based UI
Toolchain – REST APIs, Data Warehouse Connectors
Core Loops – Autonomous multi-agent collaboration
Capabilities – Workflow orchestration, data indexing, task automation

💰 Pricing

Enterprise: Contact for Pricing - Custom deployment and unlimited messaging

🌍 Why Choose Wand AI?
✅ Multi-agent architecture for complex task handling
✅ SOC2 Type 1 certified security guardrails
✅ Deployment flexibility with On-Premise and Private Cloud options
✅ Model-agnostic integration with existing data warehouses
✅ High-capacity indexing for large enterprise datasets

🌐 Discover Wand AI and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.

Who is using Wand AI?

CTOs Data Analysts Business Process Managers Operations Teams Enterprise AI Architects

Key Features

8 features
  • Multi-Agent Cognitive Layer
  • Autonomous AI Agents
  • SOC2 Type 1 Security Certification
  • Model-Agnostic Architecture
  • On-Premise Deployment Options
  • High-Capacity Data Indexing
  • Cloud Data Warehouse Connectors
  • Natural Language Workflow Automation

Use Cases

3 use cases
  • Automating complex data analysis workflows
  • Building secure internal AI knowledge bases
  • Orchestrating autonomous agents for business processes
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