Maps AI Storefront

The road map

Pushing service-provider inference to the edge of inquiry.

Where the build is going, what is already carrying real calls, and what the 2027 Beta Founders year is meant to prove.

Current plans and priorities · subject to change

Websites are no longer the source of truth

People used to search, click a website and hunt for a phone number. Today the question gets answered before anyone reaches a website: on a map, in a review app, through a voice assistant, and more and more by an AI agent acting for the person. The moment of inquiry has moved into people’s hands, and it expects an answer now.

We build for that moment. Every business we serve gets a knowledge catalog — what it does, when it’s open, what it can take on today — and an AI storefront that answers from that catalog in real time, on the channels where people already ask. We call this pushing service-provider inference to the edge of inquiry: the answer, the booking and the payment all happen at the point of the question, backed by live data on who can actually help.

We don’t replace Google, Apple, Yelp or Trustpilot. We ride on top of them. That keeps this simple for a business owner to adopt, and it keeps us where the traffic already is.

Why this exists

In late 2025, at Google’s annual conference for builders and developers, one subject stood out from everything else on stage: knowledge catalogs, websites, and the future of search. AI search was already disrupting Google’s core business. AI results give people real answers and recommendations with no blue adverts beside them, inline, or anywhere else on the page.

The canary in the coal mine

One-click search gives users the answer they needed without a single click beyond the first. That is what makes AI-based search an existential problem for an advertising business.

The counter-punch

Google answered with knowledge-catalog-based search of its own. The pitch to small business owners is that they can build a catalog and bypass their own website — while Google still owns the data. Analytics already show one-click search rendering websites largely obsolete, and the inherent flaw is obvious: the data goes stale the moment a site is scraped.

Knowledge catalogs

Knowledge Catalogs launched a few years back as Dataplex Universal Catalogs. The landscape moved fast, and the rename came with a serious bet on AI-based local search. Our own knowledge catalog work was already well underway — for a completely different reason: to let a small business own its own data, no matter where or how it was created.

Maps AI Storefront was born

The major pivot was adding Maps capability. Storefront users can capture and inference every interaction with customers, drawing on their own knowledge catalog in real time to drive sales and engagement. Never again wonder whether a merchant takes credit cards, offers a particular service, or what they accept as collateral — the most obscure and nuanced exchanges between merchant and customer get captured, cataloged, and replayed at the point of inquiry, 24/7, 365.

The catalog also connects to an invite-only social layer, so further interaction with customers — feedback, reviews, muses and rants alike — is ingested straight back into each business’s catalog.

Agentic commerce, built in

We believe the answer to one-click search is an x402 agent-to-agent back door for agentic commerce. Merchants earn digital tokens based on who is buying the data. Businesses using the system are eligible to participate in — or opt out of — agent-to-agent commerce based on their own input. The more context a merchant provides, the more they can earn, rather than giving content away the way every social platform asks them to today.

Our firm belief is that websites will become mini search engines — mini LLMs. Because inference will be pervasive, companies won’t need to post consumable information at all, beyond photos of the company picnic. The important data will be searchable for inference at your fingertips, and real pricing becomes available once an agent’s intent is understood. We think the enormous data centers going up are not only for big-tech LLMs, but for small enterprises’ mini LLMs.

Maps AI Storefront is headed for Yelp, Bing, Google Maps, Apple Maps, Trustpilot and beyond. Any directory becomes a point of abstraction for a business, and any merchant can build a specialized mini LLM around the service they provide.

What’s live today

The road map

From answering the call to answering the agent

The road map runs in three phases. NOW is our 2027 focus. NEXT and LATER show where the build is headed; their order and timing will follow what we learn in 2027.

Now

2027 · Stress test & complete

  • Beta Founders program
  • Crypto rails completed
  • Apple Maps & Bing Places
  • Voice recorder capture
  • Hardened core

Later

The live inference network

  • Live Availability Network
  • Portable trust score
  • Agent-to-agent booking
  • See-it, quote-it
  • Platform credits

Now — 2027 focus: stress test and complete

Beta Founders program

Our first associates become Beta Founders. They put the whole system under real pressure: onboarding, demos, storefront setup, the compensation engine, training material and support. Their feedback decides what ships next. The goal of 2027 is not scale for its own sake. It is finding every weak point before it matters.

Crypto rails, completed

Finish x402 and crypto payments end to end: stablecoin payments for plans and credits, and x402 so software and AI agents can pay for a service within a single web request. Card payments stay the default. Crypto is an option, never a requirement.

Apple Maps and Bing Places

Take the storefront beyond Google. Apple Business Connect and Bing Places both show a business’s phone number, which is how the storefront deploys. One knowledge catalog, three maps.

Voice recorder integrations

Owners are busy and don’t type. A quick voice memo — “we’re booked Thursday, and we now install tankless water heaters” — updates the knowledge catalog automatically, so the storefront knows what the owner knows the same day.

A hardened core

Load testing, monitoring and reliability work across Storefront, Concierge and the CRM, so the Beta Founders stress test runs on a platform that holds.

Next — expand the surface

Yelp and Trustpilot layer

Bring review platforms into the picture. Storefronts learn from what customers say publicly and help owners respond, and people browsing reviews get routed to a live answer instead of a dead end.

The Directory

Our own location-aware directory of powered providers, built with Google location services. Unlike other directories, every listing is live: it shows who can actually help right now, not who paid for placement. Provider data comes first-party from the businesses themselves.

Agent-bookable storefronts

AI assistants are becoming how people get things done. Each storefront will offer a standard agent interface — the Model Context Protocol — so compatible assistants can check availability, ask questions and book directly.

Agentic checkout

When an agent books, it needs to pay. We will support the emerging agent payment standards, including x402, the Agentic Commerce Protocol and the Agent Payments Protocol, so a booking and its deposit complete in one step, with the customer’s permission.

Smart deposits

Small refundable deposits, taken by card or stablecoin at booking, that cut no-shows for businesses whose time is their inventory.

Later — the live inference network

Live Availability Network

The directory grows into a network. Any app or AI agent can ask “who can fix a garage door within two hours near me?” and get a live, ranked answer, paying a tiny per-query fee through x402 micropayments. Providers receive demand they never had to advertise for.

Portable trust score

A reputation summary drawn from reviews, completed jobs and response times that agents can read and verify before they book, built toward proposed standards for verifiable agent identity and reputation.

Agent-to-agent booking

A customer’s AI and a business’s storefront settle the details between themselves — time, scope, price range, deposit — and hand both people a confirmed booking.

See-it, quote-it

A customer sends a photo or short video of the problem. The storefront recognizes it, answers from the catalog and gives a price range before anyone rolls a truck.

Platform credits

One usage-credit layer that works across storefronts, premium voice, directory queries and agent payments.

2027: the Beta Founders year

Beta Founders are our first associates. They get early access to every NOW release, a direct line to the build team and a real hand in shaping what comes next. In return, they use the system for real: demo it, set it up for local businesses, push it until something breaks, and tell us exactly where.

Principles behind every release

A note on scope

This road map reflects current plans and priorities. Features, order and timing may change as we learn from Beta Founders and as the platforms and standards we build on evolve.

Always building

You didn’t know you needed it.Soon you won’t remember running without it.

Quantara AI Systems · getquantara.com · quantara.associate · QuantaraAIS.com