BatchData is a self-funded real estate data and technology company founded in 2018 by Jesse Burrell (CEO), Ivo Draginov (President), and Anny Draginova (COO) — three co-founders who met as real estate investors frustrated by the complexity, cost, and rigidity of legacy data providers. The company is headquartered in Tempe, Arizona, with approximately 86 employees and operations across three continents. BatchData has achieved multiple growth milestones, recognized by Inc 5000 and Deloitte’s Fast 500 awards, and serves Fortune 500 companies, enterprise clients, startups, and SMBs across real estate investing, mortgage and lending, insurance, home services, solar, logistics, telecom, and government sectors.

The core product is a comprehensive real estate data platform delivering 1,000+ data points across 155M+ US properties — 1 billion+ individual data attributes in total. Unlike static data aggregators, BatchData maintains an in-house data science team that enriches datasets from multiple tier-one sources while continuously incorporating real-time feedback from over 20,000 platform users to maintain industry-leading accuracy. The data portfolio spans building specifications and construction details, ownership and lien information, contact enrichment (mobile and email with DNC scrubbing), automated valuation models (AVM), mortgage and transaction records, tax assessments, permit history, pre-foreclosure tracking, and listing data. This breadth enables use cases from underwriting and risk assessment to direct mail targeting, investment analysis, and legal due diligence.

BatchData differentiates itself through AI-powered solutions like BatchRank — a propensity-to-sell model that scores every US residential property on likelihood to sell within 90 days — and the Smart Property Search API for intelligent property discovery and Smart Portfolio Monitoring for tracking portfolios in real-time. Data delivery is flexible: low-latency REST APIs for real-time access, bulk delivery via S3, Snowflake, or flat files for training ML models or backfilling, and professional services for custom matching and migration from legacy vendors. The company positions itself as the modern alternative to legacy providers like ATTOM and Black Knight, emphasizing easier integration, lower upfront investment compared to traditional yearly contracts, and data pricing designed to let customers test before scaling. As a modern PropTech data company, BatchData is also expanding access through MCP (Model Context Protocol) servers for AI agent integration, including support for Claude and other LLM platforms.