**Building Data-Driven Real Estate with Matthew Schneider**

In this episode, we explore how PropTech platforms like Building Inc are transforming real estate operations through better data management, AI, and blockchain. Matthew shares insights on scaling, data verification, AI’s role, and future trends in the industry.Key topics:

• The journey from traditional real estate to modern PropTech solutions
• How building data organization enhances transparency and efficiency
• The role of verified, provenance-traced data in digital transactions
• Challenges in adoption: change management and technical compliance
• The impact of blockchain and tokenization on capital markets
• The importance of good data for AI applications in real estate
• Strategies for risk management and downside protection in business
• Future of regulation, AI, and blockchain in proptech success
• Practical advice for founders: focus on problem-solution fit and solo entrepreneurship

• Emphasis on data provenance and trust
• The importance of problem-solution alignment in PropTech
• AI’s potential hinges on high-quality, verified data
• Building a strong foundation before rapid scaling

Timestamps:00:00 - Introduction to Building Inc and the podcast focus00:29 - Matthew's background in real estate tech and transition into PropTech01:55 - Combining technology, capital markets, and public speaking experience02:48 - Why fractionalizing real estate was the first venture03:12 - Challenges of marketplace startups and data readiness in real estate deals04:24 - Leveraging AI and blockchain to make real estate data dynamic and accessible05:54 - Building Inc’s core value: organizing and verifying real estate data06:26 - Explaining Building Inc to non-tech audiences: importance of data over buzzwords
07:30 - Organizing property data for trust and ease of use08:27 - Trust in documents and data provenance in real estate workflows09:47 - Client profiles: developers, asset managers, portfolios10:26 - Why large portfolios benefit most from structured data management11:53 - Scaling challenges and building adoption in PropTech12:31 - Overcoming resistance and aligning with institutional standards14:00 - Blockchain and tokenization's role in capital markets and ownership transfer16:09 - Underappreciated trends: data quality for AI success16:40 - The shift from blockchain to AI hype, and the importance of verified data17:21 - Risks of AI without good data and context-specific applications19:15 - The necessity of digital transformation before fully leveraging AI20:10 - How trading disciplines influence decision-making in building operations21:07 - Probabilistic thinking and large dataset decisions in risk management22:34 - Examples of success probability scaling in sales and investments23:36 - Downside protection: controlling risk in business decisions
25:56 - PropTech cycles, capital constraints, and building for the future
33:25 - Accelerating growth: fundraising and scaling with compliance
34:53 - Sustainability over hype: building strong foundations35:07 - Advice for founders: teams, problem-focus, and customer validation37:55 - Final thoughts: focus on problem-solving, data, and cautious scaling38:25 - Connecting with Matthew and resources39:02 - Podcast and social links39:32 - Wrap-up and message for buildersResources

Matthew Schneider, Building Inc, PropTech, real estate operations, building operations software, real estate portfolio management, commercial real estate technology, AI in property management, real estate SaaS, property management automation, CRE technology trends 2026, proptech CEO interview, AI InterConnect podcast, real estate innovation, building data platform, asset management technology, institutional real estate software, property workflow automation, digital building operations,

#AIInterConnect #Podcast, #BuildingInc

#PropTech #RealEstate #CommercialRealEstate #AIinRealEstate #RealEstateTechnology #BuildingOperations