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ValidatedPrivate AIOn-premiseBIBIM

Multiple design & engineering firms

BIBIM AI — Private AI for BIM Teams

Private, on-premise BIBIM AI deployments — tuned to each firm's internal data and standards, for teams that can't route data to public LLMs.

Many design and engineering firms hold years of accumulated institutional knowledge — internal documentation, naming conventions, modeling standards, delivery templates — that exists nowhere in any public dataset. For these teams, the data itself cannot leave the building, ruling out public, cloud-hosted LLMs.

Off-the-shelf AI tools offer generic capabilities but have no awareness of a firm's internal standards, and routing sensitive model and project data through public AI services is a non-starter. These teams need an AI system that is both tuned to their own conventions and fully private.

Private, on-premise deployments of BIBIM AI, tuned to each firm's internal data and operational standards. The system runs entirely within the firm's own infrastructure — no data leaves the building. A custom RAG layer indexes internal documentation, past project templates, and firm-specific naming conventions, delivering AI-assisted scripting and documentation aligned with each team's own standards. Delivered to multiple firms across BIM environments.

01Field interviewManager pain point defined
02Working buildin a month
03Formal buildOngoing delivery

Validated deployments in operation across multiple firms. Each runs privately, on the firm's own infrastructure, with no external data routing.

On-premisePythonRAGOn-premise LLMBIM API integration

Have a similar bottleneck?

We start with a field interview, define the pain point precisely, and get to a working build fast.

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