BIM that thinks. AI that works. Data centres that perform.
BIM, openBIM and ISO 19650, connected into digital twins that follow the asset from design through operation.
Digital twins of products, production lines and plants, with AI that turns engineering and production data into faster decisions.
BIM-based coordination, prefabrication and operations handover for mission-critical facilities, from power and cooling to capacity planning.
Living models that join design, construction and operations data from every industry above in one place, so every decision about an asset is made on current facts.
From the first information requirements to coordinated models and asset-ready handover, we make BIM useful throughout the project lifecycle. Our approach combines sound information management, practical delivery expertise and carefully governed AI workflows.
Set the foundations for reliable delivery. We define project information requirements, BIM Execution Plans (BEP), roles, naming conventions and model standards that fit your team and project goals.
Typical outputsBEP, information requirements, delivery standards
One integrated service for AI-assisted modelling and MCP-connected workflows. AI can accelerate model authoring and data checks; Model Context Protocol (MCP) connects approved assistants to supported Revit tools and model data, with expert review of changes.
Typical outputsData-rich models, AI-assisted checks, MCP workflows
Bring architectural, structural and MEP disciplines together. We federate models, identify clashes, manage issues and verify model quality so decisions are based on coordinated information.
Typical outputsClash reports, issue tracking, coordinated models
Keep project information organised and traceable. We structure Common Data Environment (CDE) workflows, responsibilities, permissions, reviews and approvals to support reliable collaboration.
Typical outputsCDE workflows, review processes, model audits
Make model information useful beyond 3D. We connect model elements to schedules, quantities and cost data to support sequencing, change analysis and clearer construction decisions.
Typical outputs4D sequencing, quantity take-offs, cost-linked views
Turn project models into usable long-term information. We prepare interoperable IFC/BCF exchanges, structured asset data and handover workflows that support digital twins and operations.
Typical outputsIFC/BCF exchanges, asset data, handover packs
We start with the decisions your project needs to make, then design the models, standards and automations to support them.
From a single model workflow to a full BIM delivery strategy, let's discuss what would make the biggest difference.
Automate the adding, updating, and removal of multiple users across Forma accounts and projects. Quickly manage access to Docs, Build, and more — reducing manual effort and accelerating user management workflows.
Select multiple Revit Cloud Models and publish them instantly, or schedule publishing for specific dates and times in Forma to streamline and speed up publishing workflows.
Sustainable AI capability begins with knowledge that is structured, verifiable and governed.
Every organisation has accumulated a valuable body of knowledge, yet much of it remains dispersed across technical models, project records, operating procedures, business systems and individual expertise. Without a coherent way to interpret and govern that knowledge, AI cannot reliably distinguish an authoritative answer from an outdated assumption.
Digibuild architects a Company Second Brain: a permission-aware intelligence layer that connects existing sources, preserves their ownership and establishes shared context, traceable evidence and controlled access. On that foundation, we implement AI-enabled workflows and repeatable-task automation that reduce manual handling, streamline information-intensive processes and route exceptions to the right people. The objective is a durable operating capability: greater consistency, shorter decision cycles and measurable capacity returned to the business.
The technology is only one component. We establish an enduring information foundation, connect it to the work people actually perform, and design AI capabilities around governance, interoperability, quality and a clearly defined economic outcome.
Establish a defensible foundation for AI by identifying authoritative systems, mapping critical information assets and resolving fragmented taxonomies, duplicates, inconsistent metadata and document status. Define semantic structures, data stewardship, lifecycle rules and permission boundaries around the decisions that carry the greatest operational consequence.
Design an enterprise knowledge fabric that preserves the authority of original systems while making their information available in context. Permission-aware retrieval, semantic indexing, entity relationships and retrieval-augmented generation (RAG) support source-linked responses. Managed synchronisation and provenance controls help keep the knowledge layer current, inspectable and reusable.
Build role-specific AI assistants for project directors, engineers, technicians and operational teams. Their purpose is to assemble relevant evidence, interpret changes, identify missing information and prepare defensible recommendations within an explicitly defined scope. Outputs remain linked to their sources, with uncertainty made visible and critical decisions retained by authorised people.
Move from analysis to controlled action. Orchestrate document validation, structured data capture, exception routing, report preparation and authorised work-order initiation across the systems already in place. Integrations use appropriate APIs and, where supported, Model Context Protocol (MCP). Every workflow has defined permissions, review checkpoints, error handling and operational telemetry.
Construction, manufacturing and retail share the challenge of fragmented information, but their decisions, constraints and risks differ. We design each knowledge model, integration and approval path around the actual operating environment — not a generic AI interface.
Consolidate project context across BIM/IFC models, drawings, specifications, correspondence, RFIs, submittals and site evidence without obscuring revision history or contractual ownership. Give delivery teams a coherent view of design intent, approved changes and outstanding decisions, with source-grounded support for technical coordination and project controls.
Connect validated operating procedures, machine documentation, maintenance histories, deviation reports and relevant ERP/MES records into a governed operational memory. Support faster root-cause investigation, knowledge transfer and maintenance preparation while preserving the discipline of engineering change control, safety rules and quality assurance.
Connect product master data, commercial policies, store procedures, training material and permissioned inventory signals in a common, governed context layer. Give customer-facing and operations teams consistent, current guidance while enabling head office to maintain policy control, analyse recurring exceptions and improve execution across locations.
Technology value must be demonstrated in operating metrics: task frequency, baseline effort, error rates, quality, recoverable staff capacity and total cost of ownership. The examples below illustrate how time released from repetitive work can translate into potential first-year economic value; they are hypotheses to validate, not performance promises.
| Industry | Example workload | Hours saved / year | Value of time / year | Year-one cost | Illustrative ROI |
|---|---|---|---|---|---|
| ConstructionProject information & RFI prep | 300 tasks/month15 minutes saved per task | 900 h | CHF 53,550 | CHF 28,000 | 91% |
| ManufacturingSOP retrieval & maintenance admin | 450 tasks/month12 minutes saved per task | 1,080 h | CHF 52,920 | CHF 30,000 | 76% |
| RetailStore queries & policy support | 900 tasks/month5 minutes saved per task | 900 h | CHF 28,350 | CHF 18,000 | 58% |
Illustrative assumptions, not guaranteed results. Annual hours = monthly tasks × minutes saved × 12 ÷ 60. Value of time assumes only 70% of that time is economically recoverable, at indicative loaded rates of CHF 85/h (construction), CHF 70/h (manufacturing) and CHF 45/h (retail). Example year-one costs include implementation and operations. ROI = (annual recoverable time value − year-one cost) ÷ year-one cost. Actual financial benefit depends on adoption, verified time savings, redeployment of capacity and real operating costs; saved time does not automatically become cash savings.
Test a transparent first-year scenario using your task volume, time saved, loaded cost and implementation budget. Validate the inputs through an instrumented pilot.
Planning estimate only. Track actual usage, output quality, process time and costs before making investment decisions.
Our engagements combine information architecture, systems engineering and change management. We begin with a measurable business problem, validate the required context, establish operational safeguards and scale only after the results justify the investment.
Begin with one process where fragmented information creates delay, uncertainty or avoidable rework. We will define the knowledge architecture, the first controlled workflow and the measures required to build a credible business case.
Data centers are built fast, densely and under strict uptime requirements. We bring BIM, coordination and data discipline to hyperscale, colocation and enterprise projects, from concept through commissioning and into operations.
Clash-free coordination of high-density mechanical, electrical, cooling and cabling systems. Federated models with a defined level of detail per phase, so what is modelled is what gets built.
4D sequencing, quantity take-off and prefabrication-ready models for modular halls, skids and busbar runs. Less time on site, fewer surprises, and progress you can track against the model.
Structured asset data (COBie, classification, naming), commissioning records and a digital twin the facility team can actually use for capacity planning, maintenance and future expansions.
Dammstrasse 16
6300 Zug
digibuild@digibuild.ch
Digibuild
Dammstrasse 16
6300 Zug
Switzerland
E-mail: digibuild@digibuild.ch
Commercial register: CH-ID CH-170-1012198-2
EHRA-ID 1671452
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Last updated: September 2026