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Build NYC.ai

Build NYC.ai is a data platform that structures New York City's construction and real estate records into a single, searchable resource. It offers a natural-language query interface, map-based search, and due diligence reports covering permits, violations, and market trends. The platform includes specialized modules like geotechnical intelligence and HVAC market analytics, serving professionals who need actionable intelligence for risk management and market sizing.

Traction –/10
HQ unknown
210+ followers
  • Data & Analytics
  • Construction Technology
  • Property Technology
  • Artificial Intelligence
  • Software Only
  • Government Technology
  • Regulatory & Compliance Technology
Updated 13 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Professionals in New York City's construction and real estate sectors face a fragmented and opaque data landscape. Critical information is scattered across multiple city agencies, legacy systems, and unstructured documents, making comprehensive due diligence, market analysis, and risk assessment a slow, manual, and error-prone process. This lack of centralized, queryable intelligence leads to hidden liabilities, missed market opportunities, and costly delays in a high-stakes environment.

Solution

BuildNYC.ai provides a unified, queryable platform that structures the city's built-environment data into a single, searchable resource. The platform's proprietary extraction pipeline ingests raw records from DOB, FDNY, HPD, and other agencies, normalizing them into clean, documented datasets. Users can interrogate this data through a live, natural-language interface, asking complex questions about permit volumes, violation histories, and market trends that would take weeks to answer manually. The platform also offers comprehensive due diligence reports, a map-based search tool, and raw data products, delivering actionable intelligence directly to professionals for informed decision-making across market sizing, risk management, and compliance analysis.

Target Audience

Primary customers are construction and real estate professionals, including contractors, manufacturers, lenders, labor organizations, and property owners who need professional-grade intelligence for market sizing, due diligence, and risk management in New York City.

Features

  • Live, natural-language query interface for exploring the entire dataset, allowing users to ask complex market and property-specific questions
  • Map-based search over NYC's public construction record, including permits, filings, violations, inspections, and the design firms, contractors, and inspection agencies behind each job
  • Ten distinct, normalized datasets including DOB Plan Examiner Objections (565,000+ records), NYC Geotechnical Database (114,000+ borings with kriging models for bedrock depth, groundwater, and fill probability), HVAC Scope & Manufacturers (~600,000 records), and Combined Building Violations (3.5M+ records)
  • Due Diligence Reports that synthesize findings from 12 city agencies into a single PDF and structured data within 48 hours, with every finding traceable to a government record
  • Plan Exam Review module with 565,000+ objections, instant resolution matching from 511,000+ resolved cases, and examiner-level pattern analysis and approval time prediction
  • Advanced market analytics, such as the HVAC market report tracking cooling tons, system families, manufacturer share, and LL97 compliance exposure
  • Data Products available for one-time purchase or annual subscription, with options for quarterly refreshes and live API access
  • Geotechnical Intelligence module with 112K+ boring observations, USCS classification and SPT blow-count profiles, and interpolated uncertainty bounds
  • Plan access marketplace allowing requesters to obtain filed drawings from the architect or engineer of record, with designers keeping 80% of paid fees
  • AI chat over filed drawings on prepaid credit, plus keyword search across indexed drawing text
This profile is AI-generated and may contain inaccuracies.