Patent-Pending Hyperlocal Intelligence • Active Geo-Routing

The physical world has no API.
Street Presence gives it one.

Ask anything happening right now at any physical location. Street Presence routes real-time micro-queries from autonomous AI agents, dispatchers, or urban consumers to verified bystanders on the street — and synthesizes consensus ground truth in under 90 seconds.

Query the Physical World Why Passive Maps Fail

Multi-witness clustered consensus

Answers attributed to real people on-site

Zero cell-tower crowd guessing

api.streetpresence.io/v1/probe/dispatch

CONSENSUS_RESOLVED (44.8s)

Verified Real-World Telemetry

Built for builders who can’t afford to rely on stale maps

Static listings tell you what a place looked like last year. Cell tower signals guess density based on background telemetry. Street Presence gives autonomous agents and teams eyes-on-the-ground reality in real time.

Developers & LLM Builders

Sensory Grounding for Autonomous AI Agents

Give task agents a live physical sensory organ. Stop LLMs from hallucinating venue statuses, booking deliveries to locked doors, or relying on outdated Yelp hours. Hook up real-time physical verification directly inside your tool calls.

Endpoint: POST /v1/probe/dispatch
Resolution: < 90s synthesis
Output: Structured JSON return

Fleet & Dispatch

Logistics & Last-Mile Delivery Teams

Eliminate wasted courier dwell time and unannounced delivery disruptions. Verify whether loading docks are obstructed, emergency utility work has blocked an alley, or security turnstiles require escort before drivers depart.

Coverage: Pinpoint coordinates
Proof: Clustered notes & photos
Integration: Webhooks & REST

Everyday Explorers

Urban Commuters & Active Inquirers

Know before you commute. Check how long the line is at the passport agency, verify if the rooftop patio is packed, or confirm whether the specialty grocer still has stock on the shelf without placing unanswered cold calls.

Platform: iOS & Android App
Proof: Timestamped photos
Tier: 50 micro-queries / mo

Patent-Pending Engine

How on-demand ground truth is verified

            Trigger: API/App → Consensus Verified Ground Truth
          

STEP 01

Geofenced Micro-Query

Submit an address or raw lat/long coordinates with your targeted inquiry via REST API or mobile app. Street Presence creates an instant precision geofence around the coordinate.

Target radius: 25m – 250m

STEP 02

Line-of-Sight Bystander Push

The query converts into a structured micro-prompt dispatched to opt-in mobile users authenticated inside the geofence. Local observers accept with a single tap.

Median response: < 45s

STEP 03

Ground-Level Capture

Responders answer structured prompts (queue length, gate status, venue access) with optional timestamped and geo-verified photo confirmations taken inside the camera viewfinder.

Tamper-proof metadata

STEP 04

Consensus & Synthesis

Incoming observations are clustered, cross-verified for consensus, and filtered for outlier bias. The system outputs a single structured, high-confidence payload to your webhook.

Single verified payload

The Operational Wedge

Passive cell signals guess.
Street Presence verifies.

Incumbents rely on passive location telemetry or retrospective user reviews submitted hours or weeks later. Street Presence introduces active on-demand question routing to live physical bystanders.

The Costly Guesswork

Stale Data & Blind Operations

Digital maps and directory tools provide static business hours and aggregated crowd estimates, but fail to reflect live, immediate street-level reality.

Zero real-time confirmation: Maps show "Open until 10 PM" while a paper note on the locked door says "Closed for maintenance."
Unanswered cold calls: Remote users and dispatchers waste minutes calling venues directly, hitting busy signals or voicemail.
Agentic execution failure: Autonomous AI agents assume physical accessibility based on stale web data, failing tasks in production.
Wasted courier runs: Logistics drivers reach blocked loading bays, unplowed ramps, or closed alleys with zero warning.

Operational Dwell Cost Wasted Trips & Failed Actions

Street Presence Protocol

Active Micro-Queries on Demand

Targeted micro-tasks pushed instantly to verified mobile phones currently inside the target geofence. Clustered and synthesized in seconds.

Sub-90-second ground reality: Real humans standing on the corner confirm queue length, dock blockages, or store status.
Clustered consensus engine: Algorithmic validation cross-references multiple independent bystander notes and geo-tagged photos.
Clean JSON tool returns: AI tool-calling agents receive unambiguous boolean and numeric state parameters ready for decision loops.
On-demand, not on payroll: Scale checks systematically without maintaining field staff or expensive scout patrols.

Verification Multi-witness consensus · under 90s

STEP 01 API TRIGGER

Autonomous Micro-Query

Agent or dispatcher requests status of Bay 3 Loading Ramp (lat: 40.7128, lng: -74.0060).

STEP 02 GEOFENCE ROUTE

Bystander Broadcast

Micro-probe dispatched to opt-in mobile users within 120m perimeter. 3 immediate acceptances.

STEP 03 SYNTHESIZED

Consensus Verification

Observations clustered and cross-validated with 99.4% agreement score. Ready for execution.

STREET_PRESENCE_SYNTHESIS // HTTP 200 OK FORMAT: application/json

{
  "query_id": "probe_9182f_bay3",
  "coordinates": { "lat": 40.7128, "lng": -74.0060 },
  "radius_meters": 120,
  "responders_queried": 3,
  "consensus_score": 0.994,
  "ground_truth": {
    "bay_accessible": true,
    "obstruction_present": false,
    "door_state": "open",
    "verified_at": "2025-05-18T14:21:04Z"
  },
  "execution_fee_usd": 0.12
}

Delivery Format Structured JSON

Evidence Photo + consensus

Consensus Latency < 90 Seconds

The Precedent Map · P-06

Ten teams built this before. The best were acquired.

Before a line of code, The Adjacent Possible mapped every prior attempt at routing a live question to the right person on the ground — what each one proved, how it ended, and the one thing none of them owned. Google bought two of them and built two more itself.

The pattern Google has reached for this four times

Aardvark

Bought · 2010

Reportedly ~$50M, then retired

Waze

Bought · 2013

~$1B ($966M disclosed)

Neighbourly

Built · 2018–20

Shipped in-house, then shut

Maps Q&A

Replaced · 2025

Swapped for an AI answer box

Two acquisitions, two in-house builds — every one retired or absorbed. When a category’s best outcomes are Google deals, the question isn’t whether it gets built. It’s who owns the method when it does.

Acquired → Google 2010

Aardvark

Proved the mechanics — route to the right person, let them pass, return a signed answer. Google bought it, then let it die of corporate neglect eighteen months later.

Acquired → Google 2013

Waze

Beat the cold start by making every contribution a by-product of using the app for yourself. Google paid ~$1B. The lesson: people on the ground must get something back.

Acquired → Pinterest 2017

Jelly

Biz Stone’s own verdict was too few questions, not too few answers — exactly the gap that AI agents, asking constantly, now close.

Acquired → Airbnb 2012

Localmind

Supply worked: 70–90% of questions answered within minutes. It stalled on frequency — people needed it ‘once a quarter.’

Built & shut · Google 2020

Google Neighbourly

The closest match — auto-routed ‘ask the people near you,’ on Google’s distribution. Installs were never the problem; a reason to come back was.

Replaced by AI · Google 2025

Google Maps Q&A

Open human Q&A rotted into stale, spammy backlog. Google kept the one good idea: route targeted questions to people known to have been there.

Shut down 2016

ChaCha

Paid human answers, funded by ads, lost to machine answers. Only what a model cannot know — live, physically-observed fact — still needs a person.

Pivoted · B2B 2011 →

Gigwalk

Paying nearby strangers to check a place works — once a buyer with a budget batches the jobs. It points to B2B and agents, not free consumers.

Operating 2013 →

Premise Data

Paid, crowdsourced ground truth scales globally when institutions pay. It is also the clearest warning about who gets to ask, and why.

Operating 2015 →

Be My Eyes

Strangers answer on demand, free, when the ask is short and rewarding — now AI-first with humans behind it, and businesses paying.

Ten prior attempts, each checked against primary sources — acquisitions confirmed, shutdowns dated, unverifiable claims flagged. The full dossier sits behind this page.

The studio’s edge · IP-first

Every precedent was a product. None of them owned the method.

They were acquired for their teams and their traction, or they died waiting for demand. The routing itself — ask the right person on the ground, right now — was never anyone’s to defend. The Adjacent Possible filed it first.

US 2025/0130060 A1Patent pending

“System and method for question answering, information retrieval, and location discovery”

Assignee The Adjacent Possible Oy

Inventors N. Sgobba · W. Carbone · V. S. Lichtenthal

Priority 22 Dec 2021

Filed 15 Nov 2022 · Published 24 Apr 2025

View on Google Patents

This is the studio thesis in one filing: own the defensible method first, then build. It is why the right vehicle for Street Presence is an R&D studio — not a lone founder racing to a demo.

Want to know more?

Let’s give the physical world an API.

Talk to the team about on-demand ground truth for your agents, your fleet, or your research — and the IP behind it.

For AI teams, logistics and dispatch operators, platforms, and researchers.

Get in touch → Back to portfolio

Or write to [email protected]

The physical world has no API.Street Presence gives it one.