Wellapp.ai provides a unified context layer for business data, automatically capturing, structuring, and linking information from 120+ connectors and 11,000+ banks into a single knowledge graph. The platform enables users to query their entire business—from invoices and transactions to customer records—through natural language, a web app, or AI agents via MCP. It also offers a Chrome extension that extracts invoice and receipt data from any web page, eliminating manual data entry.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses manage fragmented data across accounting, banking, CRM, email, and document systems, forcing teams to manually re-key information and assemble context from disconnected sources. This leads to duplicate records, delayed financial insights, and time lost on reconciliation instead of analysis.
Solution
Wellapp.ai builds a unified context graph that automatically ingests, structures, and links data from 120+ connectors and 11,000+ banks into one connected record of the business. The platform enriches and deduplicates entities—such as companies, invoices, and transactions—with confidence scores, then exposes the full graph through a web app, REST API, and MCP server. Users can ask questions in plain English and receive real-time answers grounded in the data, while AI agents read the same graph to draft and act with complete context. The Chrome extension and email forwarding capture documents from any source, and AI reconciles invoices to bank transactions automatically.
Target Audience
Primary customers are finance teams, operations leaders, and AI-enabled businesses that need to consolidate financial and operational data from multiple tools into a single, queryable source of truth for both human teams and AI agents.
Features
- 120+ native connectors with one-click OAuth, plus 11,000+ bank integrations via Plaid and similar services
- Chrome extension that detects and extracts invoices, receipts, and structured content from any web page, including tools without APIs
- Context graph that resolves duplicate entities across sources into single records with confidence-scored fields
- AI-powered invoice-to-bank-transaction reconciliation using company name, amount, and date matching
- MCP server integration enabling Claude, Cursor, and other AI clients to read the full business graph
- REST API and graph stream API for programmatic access to entities, relationships, and changes
- Email forwarding and document drop capabilities that parse PDFs, scans, and spreadsheets on arrival
- Real-time sync via webhooks for bank and email connections, with configurable schedules for other sources