AI and Regulation Shape the Future of Cannabis Industry
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Cagdas Ucar is VP of Technology at FundCanna, the leading provider of financial products for the US cannabis industry, which has funded roughly 4,500 applications to date. A software engineer of 20-plus years, he oversees the technology behind FundCanna's revenue-based lending products, serving a market of only around 50,000 eligible businesses nationwide — where banks won't lend, Google won't run ads, and every customer counts.
A market too small for "big data" thinking — Why FundCanna tracks individual customers in real time instead of aggregate funnels, in an industry with only ~150–200 fundings a month.
Financing that isn't a loan — How FundCanna's revenue-based "pay advance" model works, and what happens to repayment when a customer's revenue collapses.
Growing without Google Ads — Why word of mouth, dispensary marketplaces like Apex Trading and LeafLink, and a partner network of 200+ carry almost all of FundCanna's growth.
When Plaid breaks down — The banking-data verification problem that pushed FundCanna to build its own bank-statement analysis pipeline.
Schedule III and what changes — How reclassifying cannabis could unlock interstate transport and bank lending — and reshape FundCanna's competitive edge.
Building for AI agents, not browsers — Why 90% of FundCanna's code is already AI-written, and what an MCP server for a lending company actually looks like.
On why scale doesn't work like normal e-commerce:
For us, it's like every single customer counts.
On the safety net built into FundCanna's model:
If you don't have revenue, you don't have to pay us back.
On engineering in 2026:
At this point, 90% of all software is written with AI.
On what Plaid does behind the scenes:
What Plaid is doing apparently is something really, really nasty.
On where commerce is heading:
We're not gonna be building websites anymore. We're gonna be building MCP servers.
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