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DIR-A9-V09-UEOT/LVL 1·Quick WinRepetitive, ultra-low-risk data capture. No judgment required. Examples: scraping a 500-page municipal budget to extract micro-grant recipients; submitting a FOIA request for raw government maintenance logs; building a niche data directory from public sources./92% confidence
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Map ISEECHANGE Vendor Network via SAM.gov Scrape

Organization
SAM.gov public contracting database (records ISEECHANGE's vendor relationships)
Sector
Competing flood tech companies, potential implementation partners, investors
Location
New Orleans, LA
// Venture Capital// Compliance// Data Scraping// Talent Scouting// Climate Adaptation// Open-Source Intelligence// Digital Commodities// Data Engineering & Pipelines

Executive summary

Current state

ISEECHANGE, Inc. received $304,018 in SBIR Phase I funding to develop deep learning flood mapping technology but faces critical commercialization gaps as a small business with limited market access and implementation capacity. The NSF requires technical validation by December 2026, creating immediate pressure for Phase II application with commercialization components.

Market catalyst

ISEECHANGE's vendor relationships are public record but not systematically mapped - creating an intelligence gap about their implementation capacity that competitors and potential partners need

This report is synthesized intelligence, not verified instruction. Always confirm against the primary source before acting. Review the full legal disclaimer before proceeding.

Field notes

Intelligence ledger

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