Anyrow vs NationGraph

Side-by-side comparison to help you choose the right product.

AI document extraction software that turns PDFs, scans, and emails into structured, editable tables — with built-in storage and API.

NationGraph logo

NationGraph

Predictive buying intelligence for sales teams selling to state, local, and education government (SLED). Indexes 110,000+ government institutions.

Visual Comparison

Anyrow

Anyrow screenshot

NationGraph

NationGraph screenshot

Overview

About Anyrow

Anyrow is AI document extraction software with built-in structured storage. Drop documents — PDFs, scans, invoices, receipts, emails, Word, Excel, images — and get clean rows in editable tables. Define columns once, no per-vendor templates. Schema-driven AI extraction finds the fields across any layout, whether the document is native PDF, scanned, or photographed. Review, edit, and query the extracted data inside the same product. Export to CSV, XLSX, or JSON. Integrate via REST API, TypeScript SDK, or webhooks. Built for ops teams, bookkeepers, accounting firms, logistics dispatchers, and finance teams who are tired of stitching extraction tools to spreadsheets. One product replaces the Parseur + Airtable + Zapier stack — extraction, storage, CRUD, and API in one login.

About NationGraph

NationGraph makes the public sector legible and accessible to businesses. We index over 110,000 government institutions and 4 million government webpages to surface predictive buying intelligence for sales teams selling to state, local, and education (SLED) government.

Signals: Predictive intelligence on government purchasing decisions. Cross-references council meetings, budgets, purchase orders, contracts, capital improvement plans, and active RFPs to surface real buying triggers — not just keyword mentions.

Contacts: AI-powered search that matches government decision-makers by role, with verified emails and direct phone numbers. Reach the right buyer on the first call.

Public Record Automations: Unlocks hard-to-access government documents at scale. Handles FOIA requests, extraction, and structured delivery into existing sales tools.

Automations: Turn signals and public-sector data into repeatable workflows — ranked institution lists, competitor contract research via FOIA, and CRM syncs to Salesforce and HubSpot.

Results: 60x faster account research, 230% average increase in pipeline coverage, 3-5x higher win rate on RFPs.

Founded in 2024. $22.5M raised, Series A led by Menlo Ventures with participation from Perplexity's Fund.

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