Placeaware
Pre-Seed · SEIS / EIS Advance Assurance Granted

The Grounding Layer for Agentic AI

A Privacy-First Semantic Aggregator of Real-World Mobility and Urban Context. Built for the Agentic Era.

The Problem

Landlocked AI

LLMs lack real-world grounding.

Temporal Decay

LLM training data is static and "landlocked" in the past.

Mobility Gap

AI agents lack real-time busyness metrics to guide user decisions.

Physical Blindness

Models cannot verify if a "bench" or "pop-up shop" exists today.

Resolution Mismatch

Coordinates are raw data; AI needs semantic context to reason.

The Solution

An Optical Nerve for Machines

The semantic layer that connects AI to the physical world.

Privacy First

Dynamic spatial generalization ensures k-anonymity while maintaining 100% utility for autonomous model reasoning.

Machine Native

Optimized directly for LLM Tool-Calling using our high-speed digitizing architecture, ensuring maximum token efficiency.

World Context

Fuses aggregated tangibles (physical assets) and intangibles (atmospheric vibes) to validate the physical world instantly.

Ethical Guardrails

Semantic Safety

Privacy compliance is not enough we enforce ethical constraints at the data layer.

Sensitive Contention

Every query is cross-referenced against high-risk categories including Military Bases, Places of Worship, and Medical Facilities.

Forced Generalization

If a location cell intersects a sensitive zone, the system triggers a "Forced Step-Up" to parent resolution, regardless of data volume.

Zero-Liability AI

Allows enterprises to deploy agentic AI safely, ensuring no patterns are inadvertently revealed in critical or private institutional sites.

Product

How the API Works

1. Digitizing Grid

Messy location inputs are resolved to a mathematical grid for cloud-speed responses.

2. Step-Up Privacy

When k-anonymity thresholds are at risk, resolution automatically generalises never returns null.

3. Physical Grounding

Validates verifiable urban assets (benches, POIs, crossings) to prevent physical hallucinations.

4. Semantic Atmosphere

Returns the 'vibe' of a location: Energetic, Safe, Busy derived from persona-weighted mobility.

Fused data streams harmonized on a single digitizing grid: Proprietary IoT real-time vision and sensor feeds, OSM & Open Data for the permanent physical world, crowdsourcing for human sentiment and local vibes, and anonymized mobility flow vectors with granular personas.

Why Now

The Agentic Imperative

Tool-Calling Is Mainstream

GPT-4o, Gemini 2.0, and Claude 3.5 all natively support function calling. The demand for structured, programmatic real-world context has arrived.

The Data Supply Explosion

Physical data supply (IoT, mobility telemetry, OSM) has quietly exploded. No one has normalized it into an LLM-ready layer.

Regulatory Moat

Aggressive privacy regulations are forcing legacy geolocation monopolies to rewrite their core infrastructure. We are privacy-compliant by design turning legal compliance into an unassailable structural asset.

Market Opportunity

Two Surfaces, One Layer

The Wedge Retail
Immediate revenue surface

Retail & QSR competitive benchmarking dashboards helping operators answer: "How busy are we vs competitors?"

  • Multi-location retailers, QSR, franchise operators
  • High willingness to pay with existing allocated budgets
  • Recurring weekly/monthly decision workflows
The Vision LLM Layer
Embedded infrastructure

Every AI conversation that touches the physical world is a potential API call.

  • LLM Tool Calling at scale usage multiplies automatically
  • Enterprise Copilot Integration one sale, multiplicative usage
  • Developer Ecosystem gravitational default like Mapbox for maps
Competitive Landscape

Incumbents built for human analysts.

We built for machines.

ProviderLLM-NativePrivacy FirstReal-TimeSemantic Output
Placeaware
SafeGraph / Verint
Foursquare
Custom IoT vendors

Once Placeaware is embedded in an AI workflow or enterprise copilot, it becomes invisible infrastructure. It doesn't get replaced it gets depended on.

Traction

Progress to Date

07 / 2025

Founders agree to launch Placeaware

08 / 2025

UK Ltd registered Placeaware Limited (16650403)

09 / 2025

Registered office 167-169 Great Portland Street, London W1W 5PF

09 / 2025

Website launched www.placeaware.com

10 / 2025

Accepted into Google Startup Program

11 / 2025

API built for footfall analytics and LLM integration

01–03 / 2026

Signed agreements with mobility and spend suppliers

03 / 2026

EIS and SEIS Advance Assurance granted

05 / 2026

PoC validating 18 billion rows, 2 million UK locations of interest, with full GDPR-compliant k-anonymity throughout the pipeline

The Team

Second-Time Founders & Spatial Pioneers

We built enterprise location intelligence platforms before. Now, we are building the data layer for AI.

Proven Scaling Track Record

Technical co-founders who have previously built, monetized, and scaled a successful SaaS location intelligence platform from the ground up.

Domain Wave Riders

Early pioneers in the WebGIS space who successfully rode the Google Maps developer wave, democratizing deep spatial mechanics for corporate workforces.

Enterprise Execution

Delivered for Barclays, AJ Gallagher, VISA, and many more.

Founder / Market Fit

We have spent our careers solving location-based data fragmentation. Placeaware is the natural next step.

The Ask

Raising £600,000 Pre-Seed

SEIS / EIS Advance Assurance Granted. Runway amplified via UK R&D Tax Credit reclaim cycles.

Core Engineering & Normalisation Pipeline
50%

Launch V1 API, finalise core infrastructure, and open public developer docs.

Go-To-Market Execution (Retail Wedge)
20%

Secure first 10–20 paid commercial deployments; scale initial SaaS ARR.

Raw Material Data Acquisition
20%

Ingest and secure foundational multi-source telemetry across key target metros.

Operations & Privacy Framework
10%

Ensure structural, dynamic privacy systems are completely unassailable.

Join the Grounding Layer

Together, let's build the city's semantic brain. If you invest in infrastructure, applied AI, and software that connects physical-world performance to enterprise decisions, we would love to speak.