Unified context graph
Well combines business apps, documents, and bank connections into one context graph so records stay linked back to their source.
Well
Well connects business tools, bank data, and documents into one structured context graph for teams and AI assistants. It supports capture, OCR extraction, reconciliation, enrichment, and MCP-based querying.
Business data in one connected graph
Well is a business data platform that connects tools, documents, and bank accounts into a single context graph. Its pages describe a system where incoming data is read, structured, linked to its source, and made available in the same workspace for people and AI clients.
The product is built around two main jobs: capture and retrieval. It can ingest data from connectors, email, browser clipping, files, and API uploads; then it lets users reconcile, categorize, enrich, and query that data through the app or through MCP-compatible AI tools such as Claude, Cursor, and ChatGPT.
Core capabilities
Document capture and OCR
The site says Well can read documents with OCR, extract fields and counterparties, and file them as structured records instead of leaving them as raw uploads.
Reconciliation and enrichment
The pricing page says agents can reconcile and categorize transactions, and enrich companies and people from the connected data.
MCP access for AI tools
Well exposes the same workspace data through MCP, so compatible AI clients can ask questions or create records against the live graph.
Broad connector coverage
The integrations page lists 120+ connectors and 11,000+ banks, with examples across accounting, CRM, storage, email, payments, and development tools.
Multiple capture paths
The product pages show connector sync, email forwarding, browser clipping, document upload, and API ingestion as ways to bring data in.
Common workflows
Founder bookkeeping
A founder can connect bookkeeping tools and banks, then reconcile transactions and ask questions about cash flow or runway without moving data between systems.
Team finance operations
A finance lead can use the Pro plan to support monthly close work, keep records structured, and run recurring analysis across a team workspace.
Document capture
An operator can drop in invoices, receipts, or statements and have Well extract fields, classify the record, and keep it linked to the source document.
AI-assisted Q&A
A team can use MCP-compatible assistants such as Claude or Cursor to query the same workspace context that lives inside Well, instead of pasting data into separate chats.
Cross-tool data unification
A company can connect apps like CRM, email, storage, payments, and development tools so data from different systems lands in one graph with consistent structure.
Pros and Cons
Pros
- Connects business apps, banks, and documents into one graph instead of separate silos.
- Supports several ingestion methods, including connectors, document upload, email forwarding, browser clipping, and API.
- Provides OCR extraction plus reconciliation and categorization for finance-oriented workflows.
- Works through MCP-compatible clients, so the same workspace data can be queried from external AI tools.
- Offers a 15-day trial and lets users upgrade, downgrade, or cancel anytime.
Cons
- The pricing page shows usage is budgeted with monthly token allowances, so active teams need to watch consumption.
- Some coverage is still presented as beta or still-growing, especially around connector breadth and newly added capabilities.
- The site does not publish a fully detailed public pricing breakdown for every possible usage scenario.
FAQ
What is Well used for?
Well connects business tools, documents, and bank data into a single workspace so AI assistants and team members can query the same underlying graph. The docs say it supports MCP-compatible clients and lets users ask questions in natural language, create records, and access real-time workspace data.
How does setup work?
The pricing page says both Starter and Pro include reconciliation, categorization, OCR document extraction, bulk export, API access, and the Well MCP. The homepage and product pages also show workflows for connecting tools, dropping documents, and using the graph in AI clients.
Is Well designed for teams or solo users?
The pricing page describes Starter as a plan for a founder running their own books and Pro as a plan for a finance lead running the close for a team. It also notes that each seat gets its own monthly budget and seats do not share a pool.
What kind of outputs does Well produce?
Well can output structured records from documents, records from connectors, and answers through chat or MCP. The product pages show examples such as invoices, companies, transactions, charts, and context-graph queries.
Is there a free trial or contract lock-in?
The site says pricing is organized into Starter and Pro, with a 15-day trial on the pricing page. It also states that you can upgrade, downgrade, or cancel anytime.
Quick Facts
- Category
- Business data platform
- Primary use
- Connect, structure, and query company data
- Integrations
- 120+ connectors and 11,000+ banks
- AI access
- MCP-compatible clients, including Claude Code, Cursor, and ChatGPT
- Pricing model
- Starter and Pro plans with per-seat monthly pricing and a 15-day trial
- Source domain
- wellapp.ai
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