Real Results From Real Businesses
Numbers from finance teams running Neoflo in production. Measured, not projected.
Faster AI Search
Faster Exception Handling
Financial Knowledge, Managed
Finance teams face two major issues: scattered documents and AI hallucinations. Solving them takes versioning, storage, and validation with real data.
Neoflo runs a pipeline for data capture, storage, taxonomy, and validation, so you always work from the latest version of your finances, grounded in real data.
Financial data from your existing systems, including invoices, payments, POs, GRNs, GL codes, vendors, and clients. Ingestion runs automatically in daily batches, so Neoflo keeps learning about your company and its operations.
Ingested data from AP inboxes, ERPs, chats, and PDFs is broken into key entities and events: vendors, invoices, approvals, payments, contracts. By linking these into a unified knowledge graph, Neoflo creates a finance brain, a connected map of your operations that is always ready for search, analytics, and AI workflows.
On top of the knowledge graph, Neoflo builds a semantic layer using vector embeddings. Each vendor, invoice, approval, and note is encoded into a numerical fingerprint that captures its meaning. This turns messy, multi-source data into a fast, semantic retrieval engine where AI can find the right facts in a single query.
Neoflo turns your finance stack into a conversational surface. Instead of hunting across ERPs, inboxes, and folders, you simply ask "who are our top overdue customers?" or "find contracts mentioning auto-renewal". Neoflo interprets, searches, and returns grounded answers with links back to the underlying records.