CodePlan automates planning services for building technology by leveraging AI to validate and enrich Building Information Modeling (BIM) data. The platform offers simulation-supported optimization, precisely evaluating lifecycle costs and CO2 emissions across numerous design variants. This approach resolves planning bottlenecks and establishes a reliable, cross-trade data foundation using OpenBIM standards.
Funding
Funding not disclosed
Founders
Product
Problem
Planning offices face high complexity in designing modern building energy systems, compounded by a shortage of skilled engineers, slow manual workflows, and inconsistent BIM data quality that limits the use of open, cross‑trade information standards. These constraints lead to costly design iterations and delayed project timelines.
Solution
CodePlan provides an AI‑enhanced platform that automatically validates, corrects, and enriches BIM models to create a reliable OpenBIM data foundation. The platform runs large‑scale, physics‑based simulations to evaluate lifecycle costs and CO₂ emissions across hundreds of design variants, enabling data‑driven trade‑off analysis. Integrated modules generate automated HVAC distribution layouts, perform thermal building performance simulations, and create a coupled digital twin for virtual commissioning of plant and control logic before construction. Results are delivered as detailed reports and machine‑readable functional descriptions that can be imported directly into building automation systems. By automating repetitive tasks and exposing quantitative performance metrics early, CodePlan shortens design cycles, reduces rework, and supports sustainable decision‑making.
Target Audience
The primary customers are architectural and engineering planning offices, MEP consulting firms, and building owners seeking automated, data‑driven design and commissioning of building energy systems.
Features
- AI‑driven BIM validation and enrichment pipeline that detects geometry errors, missing parameters, and non‑compliant data, then automatically corrects and augments the model.
- Automated generation of HVAC and heating distribution networks from enriched BIM data, outputting OpenBIM‑compliant IFC files.
- High‑fidelity thermal building performance simulation engine that computes energy demand, comfort metrics, and CO₂ emissions for each design variant.
- Simulation‑based optimization framework that evaluates thousands of alternatives to identify cost‑optimal and low‑carbon solutions.
- Virtual commissioning module that creates a coupled digital twin of the building, plant equipment, and control strategies for pre‑construction testing.
- Export of functional specifications in both human‑readable text and machine‑readable formats (e.g., BCF, JSON) for seamless integration with automation platforms.
- OpenBIM compliance with IFC and other industry standards to ensure interoperability across all trades and software tools.
- Cloud‑hosted analytics dashboard that visualizes performance trade‑offs, lifecycle cost curves, and emission trajectories for stakeholder review.