Announcement • May 15
Pure Harvest Corporate Group Operating as Mixie Technologies Announces Launch of Holotwin Ai-Powered Ht Scan
Pure Harvest Corporate Group, Inc., operating as Mixie Technologies, unveiled new 3D scan capabilities and a suite of iOS libraries for digital twin creation, alongside the planned summer 2026 release of HT Scan, its mobile application for capturing, processing, and deploying photorealistic 3D digital twins directly from an iOS device. The announcement follows HoloTwin's recognition at CES 2026, where the company received the TechRadar Pro CES Picks Award for Enterprise and Smart Infrastructure Innovation. Building Information Modeling (BIM) has been the industry standard for designing and documenting buildings, but BIM models, however detailed, remain static design artifacts. HoloTwin's platform closes that gap. While BIM captures intent, HoloTwin captures reality and keeps it synchronized with how a space is used and maintained. The result is a living queryable digital twin that complements BIM rather than competing with it. HT Scan is engineered for industries where spatial accuracy matters: real estate development, architecture, facility management, construction verification, and enterprise operations. By combining Apple's LiDAR libraries, primarily accessible through ARKit and AVFoundation, with photos, videos, panoramas, and existing floor plans, HT Scan produces photorealistic, dimensionally accurate digital twins without the equipment intensive, or multi-day workflows that traditional reality-capture solutions require. Internal testing indicates the platform may reduce workflow friction associated with traditional reality-capture approaches. These efficiencies may expand the range of environments where digital twin capture can be considered and updated over time. Hybrid Reality Capture Engine™: A proprietary pipeline that fuses LiDAR scans with photos, videos, panoramas, and floor plans designed to produce photorealistic 3D digital twins using multiple data sources. Guided Scan Intelligence™: An on-device AI assistant that watches the capture in real time, recognizes rooms and zones as they are scanned, and tells the user where to point the device next. Missing surfaces, poor lighting, and incomplete coverage are flagged before the operator leaves the site. Cloud-to-Twin Processing Pipeline™: An automated, AI-driven backend that ingests raw spatial data, aligns and denoises multi-source captures, reconstructs geometry, and outputs optimized GLB models for real-time, browser-based visualization. The same pipeline integrates IoT data from connected sensors, devices, and industrial systems into the digital twin environment, contextualizing real-time and historical data to model physical assets. HoloTwin is designed to train machine learning modules within this environment for predictive maintenance, anomaly detection, performance optimization, and automated decision-making. Once deployed, the modules analyze live IoT streams to deliver insights and learn from new data over time. Area-Based Spatial Mapping System™: A modular capture model that treats rooms, floors, or office areas as independent units, enabling granular updates and scalable twin generation across building portfolios. Zero-Friction Web Deployment™: Instant, browser-based delivery of finished digital twins, with no headsets, plugins, or specialized hardware required. HoloTwin is also releasing its core 3D scan and visualization capabilities as native iOS libraries, giving software vendors, systems integrators, and enterprise development teams the same engine that powers HT Scan, allowing them to embed digital twin creation into their own field and asset management applications. The HoloTwin iOS libraries are currently available to qualified enterprise partners and integrators. HT Scan will be released to the Apple App Store in summer 2026. Enterprises interested in early access, pilot programs, or developer licensing should contact HoloTwin.
