AI knowledge systems for construction and engineering teams
Built for general contractors and subcontractors, and for the civil, structural, MEP, geotechnical, and environmental engineering firms that design alongside them. One private AI knowledge base, built from your own documents, gives your whole team a straight answer with a citation instead of another folder to dig through.
For contractors
The cost of digging
A field question about a fire rating, a delay clause, or a submittal requirement should take thirty seconds to answer. Instead it means calling the office, searching a shared drive, or guessing and hoping. A wrong guess on a spec clause is not a minor inconvenience, it is rework, a failed inspection, or a change order dispute. A private AI knowledge base built from your project documents turns that thirty-minute search into a thirty-second, cited answer.
Questions it answers for contractors
“What does Division 7 say about fire-rated assemblies?”
Section 07 21 00 requires fire-rated assemblies to be installed per the manufacturer's UL design listing, with continuous insulation at all penetrations.
Spec Section 07 21 00, p. 142“What's our notice period for delay claims on this contract?”
The contract requires written notice of a delay claim within 10 calendar days of the event giving rise to the claim.
General Conditions, Article 8.3, p. 27Honest scope note: This system is strongest on text-based documents today: specs, contracts, submittals, RFIs, engineering reports, and proposals. Reading dimensions and details directly off drawing sets, plan sheets, and calculation packages is on the roadmap, not a current capability.
For engineering firms
Built for civil, structural, MEP, geotechnical, and environmental engineering firms
An engineering project archive is only useful if someone can search it. A private AI knowledge base turns your firm's past reports, proposals, and correspondence into an AEC document AI that answers a plain-English question with a citation back to the source page.
Institutional memory
The firm's best answers live in past project reports and in the heads of a few senior engineers. A private AI knowledge base makes that archive searchable in plain English, so anyone on the team can find what a senior engineer already worked out years ago, instead of re-deriving it or waiting for that person to be free.
“What did our geotech report recommend for bearing capacity on the Riverside project?”
The geotechnical report recommended a maximum allowable bearing capacity of 3,000 psf for spread footings founded on the native clay stratum below 6 feet.
Riverside Geotechnical Report, Section 5.2, p. 14“Which past projects used post-tensioned slabs, and what issues came up in review?”
Three past projects used post-tensioned slabs. The structural review notes flagged tendon placement tolerance and curing time as the recurring issues across those projects.
Structural Review Notes, Project ArchiveProposal and RFP acceleration
Every RFP response starts close to scratch: past-project descriptions, scope language, and lessons learned get rewritten by hand each time. A private AI knowledge base retrieves that language directly from your project archive, so your proposal team builds on what the firm has already written instead of starting over on every submittal.
Standards and spec lookup, framed carefully
The system finds and cites the source page for a standard, a spec section, or a design guideline your firm has loaded, so an engineer can pull up the exact language in seconds instead of flipping through a binder or a shared drive. It sells retrieval speed, not engineering judgment. The citation is the trust mechanism: the system points to the page, the engineer verifies it before relying on it.
On licensed standards: Licensed standards such as ACI, ASCE, and IBC are not preloaded into the system. Your firm brings its own copies of any standards it wants searchable, under your own license, the same way you would with any other document.
Other industries
Energy & Industrial
Equipment manuals, safety procedures, OSHA and regulatory documents, and inspection reports scattered across shared drives and binders in the truck. A private AI knowledge base puts a straight answer in front of a field tech in seconds.
Insurance Agencies
Policy documents, endorsements, carrier guidelines, and claims correspondence buried in PDFs. A private AI knowledge base lets your CSRs and producers find coverage language in seconds instead of putting a client on hold.
Every deployment is built on CRTX, the document intelligence platform behind this offer. See the security details or book a live demo.
See it answer questions from YOUR documents
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