David Bratslavsky - Founder of QuickData.AI | Fractional CTO | AI × Real Estate Tech

  Over the past few years the artificial intelligence has transformed countless industries but few people have had as much impact on multifamily realestate data automation as David Bratslavsky. As the founder of QuickData.AI, Bratslavsky has focused on solving one of the industry most persistent challenges. the timeconsuming process of collecting, organizing and analysing property data. His mission is simplehelp brokers, lenders and investors spend less time entering information and more time making informed decisions. Many professionals first encounter David Bratslavsky through industry conferences, podcasts or conversations on LinkedIn. His growing reputation stems from his practical approach to AI implementation. Rather than promoting futuristic concepts, he concentrates on delivering measurable improvements that make real estate underwriting faster, more accurate and more efficient. Interestingly, David Bratslavsky path to Protech entrepreneurship was far from traditional. ...

  David Bratslavsky is a technology entrepreneur, operator, and speaker using AI to reshape how multifamily real estate gets underwritten and the founder behind QuickData.AI's  10x faster  deal workflow. I help businesses cut operational costs by 30% in 90 days by using proven AI automation that actually work. As a Fractional CTO and business automation expert, I specialize in deploying AI systems that eliminate manual bottlenecks, accelerate revenue generation, and reduce overhead without the cost of a full-time executive. My focus areas: Real Estate AI: automating multifamily underwriting, lead qualification, property analysis, client communications, and deal tracking so teams close and manage assets at lower cost. Operations Automation: identifying the critical workflows draining time and money, then replacing them with intelligent, scalable systems Revenue & Cost Optimization: building automations that directly impact the bottom line: more revenue in, fewer dollar...