EZ-Estimates vs NationGraph

EZ-Estimates is AI-powered construction estimating software built for contractors and trades. Instead of spending hours on spreadsheets or handwritten quotes, contractors describe the project by voice or text and get a fully detailed estimate with materials, labor, line items, and markup in under 60 seconds. The platform includes blueprint takeoff with AI measurement, satellite mapping for roofs and lots, a client portal with e-signatures, interactive quotes with add-on options, Gantt chart scheduling, expense tracking with receipt OCR, progress invoicing, real-time profit margin monitoring, and an AI content studio for marketing. EZ-Estimates works on web, iOS, and Android so contractors can send professional branded PDFs from the job site before they leave the driveway. Built by a general contractor who got tired of losing evenings to estimates.

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.