1 number clamped to a defensible range: price_eur: proposed 1.2 -> 5.0
SaaS that turns static PDFs and unstructured spreadsheets into live, queryable data pipelines with zero-code setup. Users upload a document, define extraction rules via a visual interface, and DocFlow auto-generates and maintains an LLM-powered extraction pipeline that syncs to Google Sheets or a private database. Includes versioning, error handling, and Slack alerts for failed extractions.
Operations managers or data analysts at SMEs (10–200 employees) in logistics, e-commerce, or professional services who currently pay freelancers $500–$2,000 for one-off Python scripts to extract data from PDFs or spreadsheets.
Logistics firms processing 50–500 customs invoices per month that need to extract SKU, quantity, and duty data from PDFs to reconcile EU customs duties before the July 2026 deadline.
Per-document pricing with volume tiers · € 5.00 / month
150
€ 9,000.00
8
Direct outreach to logistics firms in EU importing from non-EU suppliers via LinkedIn Sales Navigator and industry newsletters; offer free extraction of 10 documents to prove value.
EU customs duty window closes 2026-07-01, creating urgent demand for automation. LLM costs have dropped to $0.075/M input tokens (Gemini Flash Lite), making automated pipelines cheaper than freelance scripts.
Network effects from shared extraction rules: each new customer’s labeled documents improve the accuracy of the shared model, making it harder for competitors to replicate. By 12 months, the model’s accuracy on EU customs PDFs will exceed 98%, creating a data moat.
SMEs currently pay $500–$2,000 for one-off Python scripts to extract data from PDFs/excel
LLM costs have dropped to $0.075/M input tokens, making automated pipelines cheaper than freelance scripts
EU customs duty window closes 2026-07-01, creating urgent demand for automation
One-off scripts fail within weeks due to maintenance burden