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Architecture, Engineering & Construction

Your studio's work is your legacy.
It shouldn't train someone else's model.

Architecture firms live on design knowledge built over careers — details, precedents, specifications, and the intangible judgment that shapes them. Feeding that work into public AI tools trades legacy for a short-term productivity gain.

We build AI inside the studio, on your hardware, so the accumulated knowledge of the firm becomes a tool your staff can query — without becoming training data for someone else.

The Case

Why in-house AI matters for architecture firms.

Client site plans are IP

Site plans, programs, and design iterations carry client confidentiality obligations and competitive value. A model that silently trains on them — or logs them for a vendor's review — is a liability.

Studio knowledge capital

The firm's library of past projects, details, and specifications is accumulated institutional knowledge. That library belongs on infrastructure you control, not a vendor platform.

Model & drawing volume

Large model files and drawing sets blow past upload limits and token economics of public AI tools. On-premises inference turns that constraint into a non-issue.

Predictable cost

Per-seat AI subscriptions scale with headcount. Project-based firms need cost structures that scale with revenue, not roster. Private infrastructure is a fixed capital cost.

Capabilities

What we build for architecture firms.

Spec & narrative drafting

Draft spec sections and design narratives grounded in your studio's prior work — without sending any of it to a third-party model.

Precedent knowledge base

Private RAG over completed projects, details, and internal standards — so design staff surface relevant precedent without scrolling through shared drives.

Proposal assistance

Generate RFP responses and proposal sections from your firm's past performance, all processed locally, all under your governance.

Every studio is different.

Size, practice area, and existing tech stack all shape what makes sense. We start with a conversation, not a proposal.

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