Abstract Tokenization
The goal was to create liquidity by making investment in commercial real estate development projects more accessible to the public. And further democratizing commercial real estate ownership by way of blockchain technology.
My Role: Creative Lead and Front-End Engineer
Tools and Languages: Adobe CC (Photoshop, Illustrator, XD), HTML, CSS, JavaScript, React, Node.js, Git, Solana, Three.js, Vue.js
Team: Me, CEO, back-end developers, database engineers, blockchain architects
Challenge: A Broken System
The existing platform was inaccessible, slow, and inherited an opaque legacy system that was only tailored to commercial real estate (CRE) investment from wealthy individuals or companies.
Process: Platform Enhancement with Blockchain
The team (the CEO, stakeholders, database and system admins, blockchain experts) set out to democratize CRE ownership by building a blockchain-enabled platform that removes traditional barriers. Using my UI/UX expertise, I iterated with direct feedback from investors and sponsors, focusing on real usability and transparency. To handle secure financial operations, I integrated Prime Trust, enabling ACH, wires, checks, crypto, and instant settlement with built-in compliance tools like KYC, AML, fraud detection, and PCI-level security.
Outcome: Accessibility, Liquidity, Inclusivity
The result is a seamless, user-friendly platform that opens CRE development investment to the public with liquidity, speed, and trust. What once required years and mountains of documents now takes minutes, unlocking an asset class for everyone.
Abstract Tokenization Branding
I created a comprehensive design guide for Abstract. The design guide served as a blueprint for the visual and user experience aspects of the app and online social spaces.
Impact and Results
77%
Conversion Rate
User interaction with the App as an entry point into converting assets
Why it matters: Measures how effectively the platform converts visitors into verified investors (especially given the simplified process and KYC/AML integration).
- Users started onboarding: 5,000
- Users completed onboarding: 3,850
- Conversion Rate: (3,850 / 5,000) × 100% = 77%
83%
Investment Acceleration
Total investment account growth following the app launch after initial accounts setup
Why it matters: Reflects improvements in speed and efficiency from "years and mountains of documents" to "minutes."
- Pre-redesign monthly registrations: 240
- Post-redesign monthly registrations: 415
- Year-over-year growth: +73%
95%
Platform Liquidity Rate
The actual percentage of redemption requests successfully fulfilled within the promised timeframe
Why it matters: Shows how well the platform delivers on the promise of liquidity in a traditionally illiquid asset class.
- Total invested capital: $20,000,000
- Secondary market trades / early exits: $3,400,000
- Liquidity Rate: ($3,400,000 / $20,000,000) × 100% = 17%
Can AI further this project?
The following are three concise ideas focusing on how AI can further this platform’s impact.
1. Predictive Investment Insights
AI-powered analytics can process vast market datasets with zoning changes, demographic trends, interest rates, and historical CRE performance to forecast high-potential developments. By integrating LLMs into the platform, investors could receive personalized recommendations that match their risk profile and desired returns. This would transform the platform from a marketplace into an intelligent advisor, reducing research time and helping new investors feel confident.
Suggested AI Tools: Skyline AI, Neural Designer, HouseCanary
2. Dynamic Liquidity + Pricing Models
Using AI algorithms to monitor real-time trading activity, macroeconomic indicators, and investor sentiment, the platform could automatically adjust secondary-market pricing and redemption terms. This dynamic approach would optimize liquidity and stabilize market fluctuations, ensuring that buy/sell opportunities remain fair and transparent which is key to democratizing commercial real estate.
Suggested AI Tools: Engibots
3. Enhanced Compliance + Fraud Detection
Beyond traditional KYC/AML, AI-driven identity verification and anomaly detection can flag suspicious transactions in milliseconds. Natural language processing could scan legal documents for irregularities, while neural networks learn from historical fraud patterns. This continuous, self-improving compliance layer would further protect investors and uphold trust at scale.
Suggested AI Tools: Feedzai, AU10TIX
Enhanced Compliance + Fraud Detection Platform
The following is a platform generated by Lovable using the previous work for the prompt reference.
View the demo here.
