The motion

One engine · Their documents · Tenant wall

One engine. Their documents. A private brain.

One Corpusmith AI engine for every customer. Personalization is their documents behind a tenant wall — not a forked app. Bring one Civil / AEC project: specs, RFIs, submittals, SOPs, as-builts.

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Illustrative sample Civil corpus — chunks with citations, ready vs indexing. Not a document hologram or live metrics.

Discover → Ingest → Private brain Ask with receipts → Expand.

One Corpusmith AI engine for every customer. Personalization is their documents behind a tenant wall — not a forked app.

  1. 01

    Discover

    painful workflow

    Find the painful workflow (RFIs, specs, SOPs) that eats the civil firm’s time. One job that already hurts — not a vague “make us more AI.”

  2. 02

    Ingest

    their files only

    Pull their documents into a private tenant. Same Corpusmith engine for every customer; their files only — not a forked app.

  3. 03

    Private brain

    status hits ready

    Chunk, embed, and index until status hits ready. Ready means ready — we do not pretend the corpus is live before it is.

  4. 04

    Ask with receipts

    cite the source docs

    Team asks in plain language; answers cite the source docs. Receipts are the product — a fake citations UI is not.

  5. 05

    Expand

    without rebuilding the product

    Prove one workflow, then add more docs and workflows without rebuilding the product. One engine. Their documents. A tenant wall — not a forked app.

Data. Knowledge. Workflows.

One Corpusmith AI engine for every customer. Personalization is their documents behind a tenant wall — not a forked app. Civil Engineering first. Civil / AEC documents.

  1. 01

    Foundation

    Data

    Postgres. Ingest Excel, CSV, and PDFs. Classify by department and project. Extract metadata and sections into structured tables so agents can filter.

    • Postgres as the store
    • Excel / CSV + PDFs
    • Classify by department / project
    • Metadata + sections into tables agents can filter
  2. 02

    Brain

    Knowledge

    An LLM on that private data — with a path to company-owned or local models later. Agents, skills, and tools sit on the same engine.

    • LLM on their private corpus
    • Path to company-owned / local models later
    • Agents + skills + tools
    • Same engine. Their tenant.
  3. 03

    Work

    Workflows

    Deterministic recurring work with a human sign-off. Drafts for people to approve. We do not silently file, send, or ship.

    • Recurring, deterministic work
    • A human signs off
    • No silent automation
    • Prove one workflow, then expand

Built toward enterprise security and on-prem options. This is not a SOC 2 certification claim.

Pick the workflow that already hurts.

These are the shapes of a first project — not customer names, not case studies, not metrics.

  1. 01

    Specs & Submittals

    Search every spec section and submittal in seconds; answers cite the page.

    Learn more →
  2. 02

    RFI Workflow

    Find prior RFIs and responses across projects so the team doesn’t reinvent answers.

    Learn more →
  3. 03

    SOP / Tribal Knowledge

    Turn retiring experts’ SOPs into a private brain the whole firm can ask.

    Learn more →

Your private brain, plus the work already in the documents.

You get both — their corpus, locked behind hard tenant walls.

It's your data. You own the files, the index, and the answers.

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Example Co. assistant

Illustrative tenant workspace

Illustrative

Ask · receipts later

What’s the submittal path on the waterproofing spec?
From the sample SOP: package the spec section, shop drawings, and product data, then route to the reviewer named on the submittal log.

Illustrative — not a citations UI

07 10 00SOP-submittalSM-041

Sample specs, RFIs, submittals, SOPs. Citations will point at real files later.

Illustrative Civil / AEC workspace — sample docs, not a live corpus or a citations UI.

Book a demo

The company corpus — their tenant

The documents a Civil / AEC job already runs on.

  • Specs and spec sections the job is built to.
  • RFIs, answers, and what they changed.
  • Submittals — packaged, reviewed, approved.
  • SOPs and the unwritten field job, written down.
  • As-builts and closeout sets.
  • Project docs, contracts, and meeting notes.

Questions the private brain should be able to take.

Illustrative only. Citations will point at real files and chunks later — this page is not a citations UI, and it is not a case study.

  • What was approved on the waterproofing submittal?

    The submittal log and spec section — not a guess. Illustrative, not a case study.

  • Which RFI changed this detail?

    The RFI that closed, with the drawing or spec it touched.

  • What does the SOP require before we pour?

    The procedure as written. A human still signs off.

  • Where is the as-built for that run?

    The closeout set, not last week’s memory.

Ask and analyze now. Generate later — a human signs off.

Drafts for people to approve. We do not silently file, send, or ship work. Receipts are the product; a fake citations UI is not.

  1. Ask

    Now

    Plain-language questions against their corpus. Receipts are the promise; citations to real files and chunks come later.

  2. Analyze

    Now

    Pull together what the documents already say — the spec path, the RFI gap, the submittal comparison.

  3. Generate

    Later

    Drafts for people to approve. A human signs off — we do not silently file, send, or ship work.

Outcomes without invented numbers.

Defensible answers

The team can check the spec, RFI, or SOP the answer came from. Receipts, not vibes. No invented metrics here.

Faster handoffs

The next person on the job is not starting from a shared drive and a memory.

Less rework from stale knowledge

When the documents change, the private brain refreshes. A stale index is a failed engagement.

Find your first workflow.

One company, one private Civil / AEC brain. A real engagement starts with one project, one painful workflow, and a success metric you can check.

Book a demo