Zenesis
Web-based early-phase MEP/TGA planning platform that combines BIM data, firm-specific rulebooks, and AI to standardize technical decisions before modeling begins
Zenesis is an independent, web-based planning platform for technical building equipment (TGA/MEP) engineering firms that structures and validates technical decisions during the earliest project phases — offer, feasibility study, and HOAI service phases 1-2 — by combining BIM data, a firm's own standards/rulebooks, and AI into what the vendor calls a continuous decision layer, exchanging data with Graphisoft Archicad via dedicated add-ons rather than operating inside Archicad itself.
- Pricing
- free tier
- Alternatives
- Arcol, Skema for SketchUp, BIMIT
- Who it's for
- MEP, Technical Building Equipment (TGA), Engineering
Why This Tool Exists
MEP/TGA (technical building equipment) engineering firms in Germany historically make and re-justify technical decisions manually and inconsistently across the earliest project phases — offers, feasibility studies, and HOAI Leistungsphasen 1-2 — before BIM modeling even starts, leading to repeated rework each time a design iterates.
Zenesis is a standalone, web-based planning layer that structures early-phase MEP/TGA decisions by combining BIM data, a firm's own standards and rulebooks, and AI, and exchanges data with Graphisoft Archicad through dedicated add-ons (Zenesis operates independently of Archicad rather than as a plugin inside it). The vendor reports up to 70% planning-time reduction and roughly 40 hours saved per design iteration for customer firms, and data import/export in under 15 minutes.
How You Use It
Data Transparency
Exactly what this tool uses and how
Not publicly available / not mentioned during this researchUse Cases
- ·MEP/TGA engineering firms standardizing technical decisions during offer and feasibility-study phases
- ·Reducing rework across HOAI Leistungsphase 1-2 design iterations
- ·Exchanging early-phase planning data with Archicad-based downstream BIM workflows
Pricing
Sources & Research NotesResearch date: 2026-07-18
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