Polycam vs WhyLabs (status)
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3D scanning app for mobile and web that captures LiDAR and photogrammetry scans generates meshes floor plans and measurements and exports to common 3D formats.
WhyLabs was an AI observability platform for monitoring data and model behavior, but the official site now states the company is discontinuing operations, so teams should treat hosted services as unavailable and plan self-hosted alternatives if needed.
Feature Tags Comparison
Key Features
- Photogrammetry: Build detailed meshes and textures from photo sets captured on phones or drones
- LiDAR capture: Use depth sensors on iOS to scan interiors with strong scale fidelity
- Measurements: Take scale aware measurements and generate floor plans in business tiers
- Web viewer: Share interactive models with links for client reviews and comments
- Formats: Export OBJ FBX GLTF and point clouds into DCC and BIM tools
- Collaboration: Organize projects invite reviewers and control permissions
- Discontinuation notice: Official WhyLabs site states the company is discontinuing operations which impacts service availability
- Hosted risk warning: Treat hosted offerings as unreliable until official documentation confirms access and support scope
- Continuity planning: Focus on export migration and replacement planning instead of new procurement decisions
- Observability concept value: The product category covers drift anomaly and data health monitoring for ML systems
- Self hosted evaluation: If open source components exist teams must validate licensing maintenance and security ownership
- Governance impact: Discontinuation affects SLAs support and compliance evidence so risk reviews are required
Use Cases
- Scan rooms and sites for quick as built references
- Create object models for product design and ecommerce
- Document excavation or heritage assets with photogrammetry
- Produce floor plans and measurements for real estate
- Share interactive models for remote client reviews
- Import into engines for AR VR previews and staging
- Vendor migration: Plan replacement monitoring for existing deployments and validate alerts and dashboards in the new system
- Audit readiness: Preserve historical monitoring evidence and incident records before access changes or shutdown timelines
- Self hosted pilots: Evaluate whether a self-hosted observability stack can meet your reliability and security needs
- Drift monitoring replacement: Recreate drift and anomaly checks in a supported platform to reduce production blind spots
- Incident response alignment: Ensure your new tool supports routing and investigation workflows used by the ML oncall team
- Procurement risk review: Use the discontinuation status to update vendor risk assessments and dependency registers
Perfect For
architects surveyors real estate pros construction teams archaeologists product designers educators and creators who need fast accurate capture to 3D
MLOps teams, ML engineers, data scientists, platform engineers, SRE and oncall teams, security and compliance teams, enterprises with production ML monitoring needs, procurement and vendor risk owners
Capabilities
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