FAQ

FAQ's around MultiSet Developer platform

Q: What does MultiSet AI provide? A: MultiSet AI equips developers with everything they need to build large-scale, location-aware applications—3D mapping tools, a state-of-the-art Visual Positioning System (VPS) SDK, and a unified developer platform.

Q: How can I map a space? A: Simply use the MultiSet app on your iPhone Pro or iPad Pro to scan the environment, or import an existing scan into the platform.

Q: Can I bring in third-party scans? A: Absolutely. We accept E57 files from providers such as Matterport, Leica, NavVis, and more, and we also support Matterport MatterPak files.

Q: How large a map can MultiSet handle? A: The MultiSet app can capture up to 5,000 sq ft (≈465 m²) in a single session. Larger areas can be broken into multiple sessions and merged later on the developer platform. For imports, a single E57 file can be as large as 50,000 sq ft (≈4,650 m²), and multiple files can be merged.

Q: What is the Visual Positioning System (VPS) useful for? A: VPS pinpoints a device’s exact position and orientation inside a mapped space, enabling AR devices to anchor virtual content to the real world and allowing robots to navigate with confidence.

Q: How accurate is the VPS? A: MultiSet delivers state-of-the-art localization, with a median positional error of about 6 cm.

Q: Is the VPS affected by lighting changes, environmental updates, or people in the scene? A: MultiSet’s neural networks are trained on diverse lighting conditions and dynamic environments, so the VPS remains robust under typical lighting variations, minor physical changes, and the presence of people.

Q: How do I use MultiSet VPS? A: Access it through our REST API, Unity SDK, or native SDKs for iOS and Android.

Q: Can my scanned data stay in a private cloud? A: Yes. MultiSet offers on-premises deployments and offline SDKs, ensuring your scan data never leaves your infrastructure.

Q: Is the MultiSet platform based on Google Cloud Anchors or Apple World Map? A: No. MultiSet built its VPS technology from the ground up, enabling it to scale to thousands of square feet and remain agnostic to device form factor and underlying platform.