The 4D Data Layer
Architecture & Network Design
A community-powered, DePIN-native spatial data network — designed to become the world's largest continuously-updated 4D map, governed on-chain, and priced by quality.
A new infrastructure primitive for spatial AI
4D Labs is building the coordination layer that turns distributed human effort into structured, commercially-useful spatial data — at a cost and coverage impossible to achieve with conventional methods.
World models, embodied AI, and autonomous systems require physical grounding. Current training data lacks continuous, real-world spatial coverage.
Three spatial dimensions plus time. The network captures geometry, appearance, and physical change — not static snapshots.
4 billion smartphones replace expensive proprietary fleets. Participants earn rewards proportional to the quality and scarcity of their data.
Every contribution is scored, graded, and logged. Contributor reputation is verifiable, portable, and tier-gated — not siloed.
Four claims the network is built on
§ 1.1Large language models have saturated text-based benchmarks. Vision models can identify objects. Neither can reason about the physical layout of the world — the spatial relationships, geometry, and continuous change that real-world AI systems must navigate.
§ 2.3Google's Street View methodology costs over $500,000 per autonomous vehicle equivalent for data collection. A DePIN model distributes that workload to existing hardware — smartphones already in hands globally — with cryptographic verification replacing centralized quality control.
§ 4.3A tiered quality system ensures that data buyers receive what they need and contributors are rewarded proportionally. Raw frames cost less and earn less. Semantic data with full object-class labeling earns premium rewards and commands premium prices from robotics and AV buyers.
§ 5.0Reward calculation is deterministic: quality score × regional scarcity coefficient × contributor uptime streak. Protocol revenue from the X3D Map API feeds a buyback-and-burn mechanism, creating sustainable, fundamentals-backed token value rather than pure inflation.
AI can read text.
AI can see images.
AI can't yet understand space.
World models and embodied AI need physical grounding. That data doesn't exist at scale — and the existing collection methods are too slow and too expensive to fix it.
The spatial data gap is the core infrastructure bottleneck for the next wave of AI. Robotic systems, autonomous vehicles, AR/VR platforms, and spatial computing all require continuous, high-resolution, semantically-labeled 3D data that no existing dataset provides.
A complete spatial data stack — from collection to marketplace
Three grades.
One marketplace.
Real value.
Every scan is evaluated on resolution, coverage, depth accuracy, and semantic completeness. Data grade determines reward tier and unlocks commercial marketplace access.
Buyers on the X3D Map API receive a verified, provenance-tracked dataset. Sellers (contributors) receive deterministic, quality-weighted rewards. The marketplace price discovery is transparent and on-chain.
Why this problem is solvable now
Three converging trends create a narrow window for a well-designed DePIN spatial network to become the canonical data layer before Big Tech consolidates the category.
Join the network nowModern smartphones carry LiDAR, stereo cameras, and IMUs that match or exceed purpose-built mapping hardware from 5 years ago. The fleet already exists. It just isn't coordinated.
Robotics and AV companies are entering their scale phase. GPT-4V and its successors have demonstrated that vision-language alignment works — but physical grounding remains the missing layer.
Account abstraction, ERC-4337, and low-cost L2 settlement have removed the UX friction that killed early Web3 consumer apps. Contributor onboarding now takes under 60 seconds — no seed phrase.
Genesis → Global
- Platform launch
- Community bootstrap
- Cold start incentives
- Contributor tier system
- xScanner App release
- Regional bounty system
- Marketplace beta
- B2B API preview
- X3D Map API GA
- TGE
- DAO activation
- SIP governance live
- Global coverage targets
- Full decentralization
- Protocol self-sufficiency
- Ecosystem grants
Ready to be part of the network?
The whitepaper describes the architecture. The task platform is where it runs.