Korhus is a SaaS platform that uses AI agents to centralize, analyze, and automate construction project data—including BIM models, 3D mock‑ups, photos, and digital specifications—into a structured digital twin. The system tags key documents, enriches information, and provides an integrated intelligent assistant that answers natural‑language queries, enabling precise project monitoring and workflow optimization while reducing manual effort and costs.
Funding
Funding not disclosed
Founders
Product
Problem
Construction projects generate large volumes of heterogeneous data—BIM files, 3D models, photos, maintenance records, and other documents—that are often stored in separate systems and lack consistent metadata. This fragmentation makes it difficult to locate relevant information, automate routine tasks, and obtain real‑time insights for project control, leading to inefficiencies and higher costs.
Solution
Korhus offers a SaaS platform that centralizes all construction‑related data in a single repository and applies AI agents to analyze and tag the content automatically. The platform builds a digital twin of the project by extracting geometry and metadata from BIM and 3D models, while also indexing photos and maintenance records. An integrated intelligent assistant lets users query the structured data in natural language, retrieve specific documents, or request updates to the digital twin without technical expertise. By automating repetitive tasks such as document detection, tagging, and twin generation, Korhus reduces manual effort, improves data accuracy, and enables precise, real‑time project management.
Target Audience
Primary customers are construction firms, engineering and architecture studios, and facility‑management teams that need to consolidate project data and streamline digital‑twin workflows.
Features
- Unified data lake that ingests BIM, 3D models, photos, DOE, and maintenance files from any source or format
- AI‑driven agents that automatically detect key documents, apply contextual tags, and extract metadata
- Automatic generation of a searchable digital twin that reflects the current state of assets
- Integrated natural‑language assistant for querying structured data, enriching information, and obtaining project insights
- Workflow automation that eliminates repetitive tasks such as tag assignment and twin updates
- Secure, France‑based hosting with encryption, strict access controls, and GDPR‑compliant data protection