stratis.ai

What It Is

Stratis is a crowdsourced 3D mapping infrastructure project for “intelligent machines.” Its core proposition is to let users capture real-world 3D spatial data with their phones and own that data on-chain. When robots, AI systems, or enterprises use the captured data via API, contributors can earn rewards. Stratis positions itself as the “physical-space training data layer” needed for robotics, AR/XR, simulation, and AI world models.

Core Capabilities and Use Cases

The site emphasizes that 3D maps can provide capabilities similar to “indoor GPS/VPS,” with a target accuracy at the centimeter level. Target applications include delivery robots, humanoid robots, service robots, warehouse systems, XR glasses, and autonomous systems. Typical scenarios include helping delivery robots determine entrances, stairs, floors, and indoor routes before dispatch, or providing real-world environments for simulation platforms. The site also frames 3D spatial data as a new source of training data beyond LLMs. However, the main content does not disclose specific AI models, 3D reconstruction algorithms, accuracy benchmarks, device requirements, or real customer cases.

Pricing and Integration

For individual contributors, Stratis clearly states that capturing is free, with no subscription and no fees, and encourages users to download the app and start scanning. On the business side, it mentions “Build with API” and paid enterprise API access, but does not publish API pricing, request methods, free quotas, documentation, or SLA details. In terms of integration, the page says data can be exported to Blender, Unity, and Unreal, suggesting some friendliness toward developer and creator workflows.

Pros and Cons

The main advantage is its forward-looking positioning: Stratis taps into the potential demand for 3D data from robotics, simulation, and spatial intelligence. Its narrative around on-chain ownership and revenue flowing back to users also differentiates it from traditional platforms where users contribute while the platform retains exclusivity. The drawbacks are also clear: revenue sharing, withdrawals, enterprise demand, map coverage, and quality validation are not sufficiently explained. Data privacy is especially critical—how indoor spaces, people, and sensitive locations are scanned and handled in a compliant way is not detailed in the main content.

Who It’s For and Access from China

Stratis is best suited for early 3D scanning contributors, robotics teams, simulation platforms, AR/XR developers, and users interested in spatial data assets. Access from China, app downloads, network connectivity, payments, and reward withdrawals are not explained in the main content, so their status is currently unknown. If deployed in China, users may need to pay close attention to mapping and surveying compliance, privacy authorization, and alternatives such as Polycam, Matterport, Apple RoomPlan, ARCore Geospatial, or local digital twin / robotics mapping services.