About QuantaPhi
Search. Learn.
Build something valuable.
QuantaPhi brings AI explanations, sources, images, video and sound into one place. Quants connect that activity to a wallet record—and to a growing idea: useful, permissioned information that another AI can understand.
What QuantaPhi does
Start with a question, a person, a place or an idea. QuantaPhi searches for evidence, builds an AI research overview, and connects the subject to relevant media. Refine the topic, follow the sources, collect useful cards, or share what you find.
The goal is to make research easier to explore: an explanation you can read, media you can experience, and sources you can check. That makes QuantaPhi both a search tool and a platform for learning.
AI explanations can make mistakes. Source links help you check facts and explore the original material.
What is a Quant?
A Quant is a unit recorded in the platform's wallet system, associated with the activity that created it. In the Quant model, the information behind that activity matters too: the topic, its sources, related media and the choices that make it useful.
A simple search begins with a small amount of context. Refinements and collected material can build a richer research record. Music Quants add another kind of context through playing or listening.
Three separate wallet roles
Quants
The Quant balance records units earned through eligible search activity. Quants are intended for exchange within participating parts of the platform.
Infinity tokens
A separate asset linked to the website and research build. A new eligible search creates a paired Quant and Infinity token; their balances can differ after use or transfer.
StarCoins
Small reward units associated with qualifying shares and collections. The spending design also uses them for fractional change.
How activity builds the record
An eligible new search creates the linked search record and wallet credits. Refinement develops the existing topic. Reopening the same recorded search should restore its history rather than award the same event again.
What happens when you spend Quants?
The intended checkout flow lets a participating seller accept Quants for a product or service. The agreed price determines how many units are used. The wallet records a debit for the buyer, a credit for the seller, and a receipt.
The larger idea is that approved information associated with those Quants can travel with the exchange. A receiving AI could then read the relevant context and use it to make a better decision. Spending a balance and sharing information are separate actions: a purchase should not open your entire history to the seller.
NEC is the planned transfer and checkout connection between wallets and participating sellers. Merchant acceptance, fractional settlement and permissioned data delivery are still being developed; this page describes their intended operation.
Why can Quant data be valuable to AI?
An AI can do more with a clear record than with a balance alone. A topic shows what someone explored. A collection shows what they found useful. A confirmed purchase adds evidence of what they chose to buy. Keeping those signals distinct helps the AI avoid treating every search as a sale.
With permission to read the relevant information, an AI could:
- Connect related topics, sources and media to improve recommendations.
- Help a shop understand demand and recommend inventory.
- Suggest lessons or explanations related to a learner's interests.
- Identify which information is supported, current and useful.
Example: a record shop
You research vintage piano recordings and collect a few useful records. Later, you buy an LP from a participating shop. In the planned system, an approved data package could tell the shop's AI about the relevant genre, recording era and format—and distinguish the earlier research from the completed purchase.
Across many approved packages, the AI could spot growing interest in certain records and suggest what the shop should stock next.
What gives the information its value?
Accuracy, relevance, sources, freshness and permission to use it. A larger bundle is useful only when its information helps answer a real question. The data's practical value depends on what an AI or business can do with it; it does not establish a guaranteed cash value for every Quant.
Permission belongs in the design
The commercial model is intended to use creator-approved topic information and aggregated trends. Shared packages should identify what can be read, who may use it and for what purpose. A token exchange should not automatically share names, private conversations or a full personal profile.
These permission controls and merchant integrations are part of the development work. The aim is to let useful information move with an exchange while keeping control over the information separate from the wallet balance.
Explore the platform
The current app brings together search, research overviews, media cards, collection, sharing and wallet features. The next stage connects those records to the permissioned AI and merchant workflows described here.
Start a search