Uploaded July 2026 | Updated September 2026, 1 hour ago
Real estate is one of the world’s largest asset classes, yet it remains surprisingly difficult to tokenize. In this episode of Colors of Web3 & Entrepreneurship, Matthew Schneider, CEO and founder of Building Inc., explains why the bottleneck was never simply blockchain. It was the data.
Real estate still relies on paper records, fragmented systems, and figures that can be difficult to verify independently. A token cannot make unreliable collateral trustworthy. Before real estate can support dependable oracles, tokens, and digital markets, the underlying information needs to be accurate, current, and traceable.
Matthew explains Building Inc.’s approach: using blockchain as a lightweight “receipts layer” that records who uploaded information, when it was uploaded, and whether the source can be trusted. Combined with AI for extraction, comparison, and monitoring, this could create a more reliable data layer for tokenized real estate.
We also discuss:
- Why failed tokenized real-estate projects expose the risks of unverifiable collateral
- The uncomfortable parallel between unreliable property data and the FTX collapse
- How AI could help monitor properties for banks and lenders
- What verified data could mean for oracles, RWAs, and tokenization
- Building Inc.’s private beta, early customers, fundraising, and multi-chain strategy
- Hedera, Polygon, and quantum-resistant blockchain infrastructure
- Why founders should start with the problem instead of the technology
Whether you work in Web3, real estate, capital markets, proptech, or another legacy industry, this conversation is a practical look at the infrastructure required to make digital assets trustworthy.
⌛ Timestamps:
00:00:00 Episode trailer
00:00:30 Show & guest introduction
00:03:00 From day trading and e-commerce to founding a company in 2020
00:05:28 Challenges in real estate data management
00:10:21 Finding Bitcoin in 2016 and the slow conviction
00:12:33 Matthew’s hobbies
00:18:17 Three reasons real estate data management fails
00:20:37 Why trillions in real estate still aren't tokenized
00:23:52 Building.inc’s platform demo
00:32:08 Current stage of Building.inc: Private beta, early customers, and fundraising in the AI era
00:36:13 Going multi-chain: Hedera, Polygon, quantum-resistance chain
00:38:25 The business model and Web3 integrations
00:41:22 The tech behind the platform
00:48:49 The challenges facing his startup
00:50:56 The end game for RWAs and tokenized real estate
00:55:32 Advice for aspiring entrepreneurs
00:58:37 Where to follow Matthew and Building.inc
00:59:47 Episode outro and next episode preview
Follow Matthew & Building Inc:
Building's Website (may still be under maintenance): building.inc
Matthew's Twitter/X: https://x.com/mattschneid3r
Building's Twitter/X: https://x.com/BuildingInc
Our social media:
Spotify: creators.spotify.com/pod/show/colorsoftechpod
Twitter/X: https://x.com/ColorsofTechpod
LinkedIn: linkedin.com/company/colors-of-tech-entrepreneurship
If you enjoyed the episode, subscribe for more conversations with founders and experts working across Web3, AI, entrepreneurship, and emerging technology.
Real estate is one of the world’s largest asset classes, yet it remains surprisingly difficult to tokenize. In this episode of Colors of Web3 & Entrepreneurship, Matthew Schneider, CEO and founder of Building Inc., explains why the bottleneck was never simply blockchain. It was the data.
Real estate still relies on paper records, fragmented systems, and figures that can be difficult to verify independently. A token cannot make unreliable collateral trustworthy. Before real estate can support dependable oracles, tokens, and digital markets, the underlying information needs to be accurate, current, and traceable.
Matthew explains Building Inc.’s approach: using blockchain as a lightweight “receipts layer” that records who uploaded information, when it was uploaded, and whether the source can be trusted. Combined with AI for extraction, comparison, and monitoring, this could create a more reliable data layer for tokenized real estate.
We also discuss:
- Why failed tokenized real-estate projects expose the risks of unverifiable collateral
- The uncomfortable parallel between unreliable property data and the FTX collapse
- How AI could help monitor properties for banks and lenders
- What verified data could mean for oracles, RWAs, and tokenization
- Building Inc.’s private beta, early customers, fundraising, and multi-chain strategy
- Hedera, Polygon, and quantum-resistant blockchain infrastructure
- Why founders should start with the problem instead of the technology
Whether you work in Web3, real estate, capital markets, proptech, or another legacy industry, this conversation is a practical look at the infrastructure required to make digital assets trustworthy.
⌛ Timestamps:
00:00:00 Episode trailer
00:00:30 Show & guest introduction
00:03:00 From day trading and e-commerce to founding a company in 2020
00:05:28 Challenges in real estate data management
00:10:21 Finding Bitcoin in 2016 and the slow conviction
00:12:33 Matthew’s hobbies
00:18:17 Three reasons real estate data management fails
00:20:37 Why trillions in real estate still aren't tokenized
00:23:52 Building.inc’s platform demo
00:32:08 Current stage of Building.inc: Private beta, early customers, and fundraising in the AI era
00:36:13 Going multi-chain: Hedera, Polygon, quantum-resistance chain
00:38:25 The business model and Web3 integrations
00:41:22 The tech behind the platform
00:48:49 The challenges facing his startup
00:50:56 The end game for RWAs and tokenized real estate
00:55:32 Advice for aspiring entrepreneurs
00:58:37 Where to follow Matthew and Building.inc
00:59:47 Episode outro and next episode preview
Follow Matthew & Building Inc:
Building's Website (may still be under maintenance): building.inc
Matthew's Twitter/X: https://x.com/mattschneid3r
Building's Twitter/X: https://x.com/BuildingInc
Our social media:
Spotify: creators.spotify.com/pod/show/colorsoftechpod
Twitter/X: https://x.com/ColorsofTechpod
LinkedIn: linkedin.com/company/colors-of-tech-entrepreneurship
If you enjoyed the episode, subscribe for more conversations with founders and experts working across Web3, AI, entrepreneurship, and emerging technology.
