Waafir is an AI-native virtual data room that automates document analysis, organization, redaction, translation, and Q&A for dealmaking teams. The platform deploys nine specialist AI agents that process documents in 28 languages, and it supports bidirectional integration with external AI tools via the Model Context Protocol. Waafir targets private credit, venture capital, investment banking, and other regulated industries managing complex transactions.
Funding
Funding not disclosed
Founders
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