375ai
What if advertising measurement came from verified physical presence instead of modelled estimates?
375ai is a DePIN network for real-time, real-world marketing data. Community-deployed sensors capture foot traffic, dwell time, and consumer movement patterns — ground-truth signals that replace the modelled proxies advertising has relied on for decades.
The Loop
SENSORS (deployed at retail/public) → FOOT TRAFFIC DATA → ADVERTISING INDUSTRY → TOKEN REWARDS
↑ ↓
└─────────────── Rewards fund more sensor deployments ───────────────────────────┘
| Stage | 375ai | Links |
|---|---|---|
| Device | IoT sensors at retail locations and public spaces | DePIN Devices |
| Data | Foot traffic, dwell time, movement patterns — cryptographically verified | Data Flow |
| Industry | Advertising — ground-truth attribution replaces impression estimates | Advertising |
| Business model | Advertisers pay premium for verified physical signal vs modelled digital proxies | Information Arbitrage |
| Token | Rewards sensor operators for verified data; advertisers pay for access | DePIN Tokens |
Industry Impact
The Problem
Digital advertising spends $1T+ annually on targeting and attribution. Most measurement relies on:
- Cookie-based tracking (dying under privacy regulation)
- Device ID graphs (fragmenting across platforms)
- Panel extrapolation (small samples projected to populations)
- Click/impression counting (bots inflate, fraud erodes)
All of these are modelled proxies — statistical estimates of whether a real human saw something and acted on it.
The 375ai Thesis
375ai provides ground truth: actual humans, actually present, cryptographically verified. This is categorically different data.
| Metric | Traditional Advertising | 375ai DePIN |
|---|---|---|
| Presence | Estimated from device signals | Verified by physical sensor |
| Attribution | Modelled (last-click, MMM) | Measured (sensor → visit → action) |
| Fraud risk | High (bot traffic, click farms) | Low (physical sensor, cryptographic proof) |
| Freshness | Batch reports, days/weeks lag | Real-time data streams |
| Ownership | Platform-owned (Meta, Google) | Community-owned (sensor operators) |
The Arbitrage Window
Advertisers currently pay for probabilistic data. Verified physical presence data is worth more because it:
- Reduces waste — Know who actually visited, not who might have
- Proves causation — Sensor-verified visit after ad exposure, not correlation
- Resists fraud — Physical sensors can't be faked like digital clicks
- Survives privacy regulation — Aggregate physical patterns don't need cookies
The gap between what advertisers pay for modelled data and what verified sensor data is worth is the information arbitrage.
Cross-Industry Applications
375ai's sensor infrastructure has value beyond advertising:
| Application | Industry | Data Used |
|---|---|---|
| Retail analytics | Retail | Foot traffic patterns, dwell time |
| Out-of-home ad measurement | Advertising | Verified impressions for billboards, screens |
| Urban planning | Government / Smart cities | Pedestrian flow, congestion patterns |
| Real estate valuation | Real Estate | Location traffic as valuation signal |
| Event measurement | Entertainment | Attendance verification, crowd flow |
Evaluation
Apply the DePIN Investment Appraisal framework:
| Dimension | Score | Weight | Notes |
|---|---|---|---|
| Problem-Solution Fit | /5 | 30% | $1T ad market, measurement is broken, verified data is categorically better |
| Tokenomics Health | /5 | 25% | Token utility: operator rewards + advertiser access fees |
| Hardware Feasibility | /5 | 20% | Sensor cost, deployment friction, operator ROI timeline |
| Execution & Team | /5 | 15% | Shipping velocity, partnerships, advertiser onboarding |
| Regulatory Context | /5 | 10% | Privacy-friendly by design (aggregate physical, not individual digital) |
| AGGREGATE | /5 | 100% |
Prediction Template
PROTOCOL:
375ai
PREDICTION:
[Specific, measurable claim with timeline]
CONVICTION:
[0–5 + explicit rationale]
TRIGGERS:
- Raise Conviction If: Major advertiser partnership, verified revenue growth
- Maintain If: Steady sensor deployment, growing data buyers
- Lower If: Slow sensor rollout, no advertiser traction
- Exit If: Competing ground-truth network with better economics
MONITOR:
- Monthly: Active sensors, data volume
- Quarterly: Revenue, advertiser count, sensor operator ROI
- Annual: Market share of verified ad measurement
REVIEW DATE:
[Calendar date + recurring cadence]
Context
- Advertising Industry — Who captures the value of human attention
- DePIN Technology — Physical infrastructure architecture
- DePIN Devices — Hardware you can buy and operate
- Information Arbitrage — Verified data vs modelled proxies
- DePIN Investment Appraisal — Evaluation framework
- AI Data Industry — Data that trains intelligence