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WHERELABS

Fair, Transparent, and Ethical Location Intelligence

Dr Jonathan Gray, CTO

jono@wherelabs.io

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PROBLEM

The $22B location intelligence market operates on exploitation:

  • Privacy Crisis: Apps track users without meaningful consent, resulting in €5.6B in GDPR fines so far
  • Poor Data Quality: Traditional brokers sell stale, inaccurate data with - businesses make million-dollar decisions on bad information
  • Zero User Compensation: Tech giants generate billions from location data while users get nothing for their most sensitive information
  • Regulatory Risk: GDPR, CCPA, and emerging privacy laws make traditional data collection legally dangerous

The Core Issue: The current system extracts value from users without consent or compensation, creating legal risk and poor data quality.

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SOLUTION

OUR VISION: What if Users Owned Their Data?

WhereLabs will create the first ethical location intelligence marketplace:

The Model:

  1. Users Opt-In and get compensated (€5-15/week) for sharing location data
  2. We Aggregate & Anonymize using privacy-preserving technology
  3. AI Foundation Models learn mobility patterns for predictive analytics
  4. Businesses Buy Insights and forecasting that are higher quality and legally compliant
  5. Everyone Wins: Users earn money, businesses get predictive intelligence, we build sustainably

Why This Works Now:

  • Consumer Awareness: 87% want control over their data usage
  • Regulatory Pressure: Forces market toward ethical solutions
  • GenAI Data Hunger: Foundation models need massive, high-quality datasets
  • Technical Readiness: Differential privacy and edge computing enable this model
  • Economic Incentives: Users increasingly expect compensation for data

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MARKET OPPORTUNITY

Location Intelligence Market: $22B today → $33B by 2030

Key Segments:

  • Retail Analytics: Understanding foot traffic and consumer behavior
  • Urban Planning: Smart city initiatives and infrastructure decisions
  • Tourism Intelligence: Visitor flows, destination analytics, and economic impact measurement
  • Real Estate: Site selection and property valuation
  • Logistics: Route optimization and demand forecasting

Market Drivers:

  • Privacy regulations forcing industry transformation
  • $2.5T in global smart city investments by 2030
  • Post-pandemic need for mobility analytics
  • AI/ML hunger for high-quality training data

Our Opportunity: Be the ethical alternative as the market restructures around privacy.

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BUSINESS MODEL

Revenue Streams:

  • SaaS Dashboards: €80-100K/year subscriptions for real-time insights
  • AI-Powered Forecasting: €5K-50K/month for predictive mobility analytics
  • Data Licensing: API access for training AI models and business intelligence
  • Custom Analytics: High-value enterprise consulting and bespoke AI models

Economics:

  • User Compensation: 90% of revenue generated from their data
  • Platform Revenue: 10% for operations, growth, and development
  • 10,000 users -> 1 major city, 60 customers, £3.5M overhead

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COMPETITION

Competitive Landscape:

Existing Players (Placer.ai, SafeGraph, Veraset, Factori): Built on questionable data practices, vulnerable to regulation

Our Advantages:

  • Ethical Positioning: Unassailable brand as privacy concerns grow
  • Network Effects: More users → better data → superior AI models → higher payments → more users
  • AI Differentiation: Foundation models for mobility prediction create unique competitive moats
  • Regulatory Compliance: Built privacy-first, not bolted-on
  • Data Quality: Consensual users provide more accurate, contextual data for AI training
  • Timing: Market inflection point as old model breaks down and GenAI drives data demand

Barriers We'll Create:

  • User trust and brand recognition
  • Network effects and data quality moats
  • Proprietary AI models trained on ethically-sourced mobility data
  • Regulatory relationships and compliance expertise

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TEAM

Founder/CTO:

Dr Jonathan Gray. 10 years experience in data science, software development, data engineering and leading data teams in working with global stakeholders to deliver location and movement data projects.

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JOIN US IN BUILDING ETHICAL DATA SOLUTIONS

Use of Funds:

  • 45% Product Development (€540K): MVP, mobile app, enterprise dashboard, AI/ML infrastructure
  • 35% Team Building (€420K): Key hires in engineering, AI/ML, business development, and data science
  • 12% User Acquisition (€144K): Launch marketing, referral programs, and pilot campaigns
  • 8% Legal/Compliance (€96K): Privacy audits, regulatory setup, and ongoing compliance

18-Month Milestones:

  • Product: Working platform with enterprise dashboard and mobile app
  • Users: 25,000 active data contributors across 2 cities
  • Customers: 130 customers at €5,000 monthly ARPU
  • Revenue: €7.5M annual run rate
  • Market: Proven model with customers in retail, tourism, and urban planning
  • Seed Ready: Strong metrics and clear path to Series A

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