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Waafir

Waafir provides a secure virtual data room with a built-in AI workforce that automatically organizes, summarizes, redacts, translates, and extracts facts from deal documents. The platform supports bidirectional Model Context Protocol (MCP) integration, allowing external AI clients to operate the data room directly while its agents can access registered external tools. Nine specialist agents run automatically on upload across 28 languages, with all processing contained within an isolated AI perimeter.

Traction 4/10
Dubai, United Arab Emirates · HQ
Founded 20244100+ followers
  • Artificial Intelligence
  • AI Agents
  • Enterprise Software
  • Software Only
  • Cybersecurity
  • Financial Technology
  • Regulatory & Compliance Technology
Updated 14 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Virtual data rooms have remained static file-sharing repositories for two decades, leaving deal teams to manually review, classify, redact, and summarize hundreds of documents. The bottleneck in M&A, fundraising, and structured finance is not document access but the time-consuming work of understanding and operating on the content within those documents.

Solution

Waafir provides a secure virtual data room with a built-in AI workforce that automatically reads, classifies, summarizes, redacts, translates, and extracts facts from every uploaded document. Nine specialist agents—including Organise, Summarise, Review, Redact, Translate, Fact Extractor, Prose Drafter, Investor Update, and Pitch Deck Builder—run automatically upon upload without requiring configuration. The platform operates over the open Model Context Protocol in both directions: external AI clients can connect to drive the data room directly, while the room's agents can access registered external MCP servers for CRM, market data, or internal wikis. All AI processing occurs within an isolated perimeter with no external APIs, and the platform supports full functionality in 28 languages.

Target Audience

Primary customers are dealmaking teams in private credit and direct lending, venture capital and growth equity, investment banking and advisory, structured finance, digital asset funds, real estate, infrastructure, and legal and professional services.

Features

  • Nine pre-built specialist agents (Organise, Summarise, Review, Redact, Translate, Fact Extractor, Prose Drafter, Investor Update, Pitch Deck Builder) that run automatically on document upload
  • Bidirectional Model Context Protocol (MCP) support enabling external AI tools to operate the data room and the room's agents to use registered external tools
  • Semantic vector-embedded search with natural language queries returning cited answers with source links
  • AES-256 encryption, dynamic watermarking, granular permissions, secure viewer, and full audit trails
  • Native KYC/AML regulatory workflows built into the platform
  • Extensible agent framework allowing teams to build and deploy custom agents for specific deal workflows
  • Docling engine that extracts full text, tables, and structure from PDFs, Word, Excel, and other formats
  • Secure RAG (Retrieval-Augmented Generation) making all documents fully queryable
This profile is AI-generated and may contain inaccuracies.