
AI – Changing the Game in Real Estate and Web3
AI – Changing the Game in Real Estate and Web3
In nearly every way, AI is transforming how we engage with technology and through it, the world. As interactions move beyond simple automation towards AI learning models, our experiences with technology are enriched by clarity, personalization, effectiveness, and potential.
Consumer standards for what a user interface can and should be will rise quickly. The sentiment of being forced to spend most of our online interactions with bots has already reached exhaustion. Companies that competently embrace AI will set a new standard by which all others will be judged. The vast majority of people don’t care about the technology behind things. People fixate on how technology directly benefits them, largely by creating ease. Interactions will either feel in tune, or they won’t. The distinction will grow.
Table of Contents
- Streamlined Decisions and Simplified Complexity
- Pricing Oracle
Streamlined Decisions and Simplified Complexity
The more time we spend immersed in technology, the more decisions we face. Participation exhaustion is one of the first prominent fatigues with technology. Why can’t our preferences be retained, applied, and streamlined?
As Web3 moves the user experience from “do as you’re told” to “you have control”, this challenge is amplified and exacerbated. Self-custodial assets bring inevitable obligations – more decisions and increased participation. Decision exhaustion is increased, not reduced. In Web3, is the overall experience with technology enhanced or diminished by additional tasks? For most, it resembles a burden more than a benefit. Here lies one of the defining hurdles for mass adoption. So how do we overcome it?
Bringing the power back to the user is ultimately a benefit. The philosophy behind Web3 is sound, substantiated, and will ultimately prevail as the definitive future. In time, it will become self-evident. In the meantime, what path does Web3 take to begin bridging the gap between the present and the future, while remaining attuned to the average user’s current technological burden and aversion to additional hurdles? Meet them where they are. Adoption is realized through providing greater ease, not added strain.
As a future-facing and Web3-focused company, Revolve is committed to bringing self-custodial assets and control in the digital space to the masses. The key to building a viable bridge between Web2 and Web3 is convenient control.
We decentralize real estate through democratizing ownership by creating a DAO for each home, building sovereign communities of owners. True ownership means the freedom to buy and sell on demand in the bigger picture, while being a decision maker on the direction of a property on an individual level. The friction and burden of making decisions becomes the cost of control. Our goal is to streamline it. AI plays an essential role in this mission.
We found it imperative to our vision of adoption and to enhance the user experience, to provide AI-assisted decision making as an option for fractional owners. If we add the burden of true ownership and all it entails, the need to provide automated but intelligent solutions becomes vital. The masses flock towards simplicity and are averse to difficulty. Rather than resist human nature, we embrace it.
Pricing Oracle – What number would you trust?
Unleashing real estate ownership through trading in real time requires up-to-the-minute market-based pricing that traders can trust. Accelerating real estate purchases and sales to 21st-century speeds demands nothing less. The lag of the past, running steadily at a snail’s pace for centuries, is incapable of supporting the future of instant transactions.
All industries have become data-driven. Information is the new gold. The real estate industry is no exception. Metrics are abundant and compiled in beneficial ways. The defining hurdle is the pricing lag, which only becomes available once a final sales price is posted to the records. Prices can be locked in for months, even as markets shift around them. Traders accustomed to the pace of other markets would consider this slippage. The gap between the agreement on price and settlement is massive, compared with other industries. That space between commitment and settlement can make the difference between profits and losses.
This gap in verified pricing presents a challenge for real-time real estate trading. The solution? AI. A dynamic system programmed to compile current real estate market factors and sale prices but to predict trends, trajectories, and external factors. Dialed into every valuable accessible data point, it provides assurance beyond traditional metrics.
Bringing real estate into real-time requires sophistication in both the data available value. accounting for lag, while integrating outside sources to predict trends and trajectories. At some level, all industries become part of each other, as the macrocosm sorts itself out downstream of the initiating factors that trickle in through ripples. The more deeply dialed in a smart system becomes in balancing both the big picture and the small, and the synergy of markets with each other, the more valuable that data becomes.
Our mission is to provide a platform for 21st-century real estate ownership. To do so, we recognize the need to create a pricing oracle that defies conventional boundaries. By doing so, we build a new stream of sophisticated data which provides value not only to our own platform, but that can be shared and monetized in meaningful ways in other avenues. AI provides the computing power necessary to bring it all to life. AI is a foundational component.
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