The question
"How did we detail the pile cap on the 2023 riverfront job and why?"
An engineer asks in plain language. The system finds the relevant section, drawing, and decision rationale in seconds.
Private AI infrastructure for consulting engineering: project memory, standards lookup, and proposal acceleration on your premises.
Senior staff hunt through shared drives, email threads, and retired colleagues' memories to find prior calculations, spec interpretations, and project decisions.
Of billable capacity spent on document archaeology instead of engineering.
We ingest your reports, drawings, and standards into a private knowledge base your team can query in plain language.
Decades of proposals, drawing registers, RFI responses, and lessons-learned docs ingested into your private knowledge base.
An engineer asks in plain language. The system finds the relevant section, drawing, and decision rationale in seconds.
Every answer cites the source: the file name, page, and paragraph. Your experts verify instead of trusting blindly.
Similar project decisions surface in context. Your engineers engineer instead of searching.
Your standards, client specs, and precedent decisions become a queryable authority. Not a chatbot's guess. Your own firm's judgment.
"What is our standard detail for seismic bracing in heritage structures?" Returns your precedents, not a generic explanation.
Recurring client requirements and exceptions captured and surfaced. New staff learn the firm's history without the apprenticeship.
Answers include the specific document, revision, and decision context. Liability lives in specifics; so do our answers.
Past winning proposals, rate structures, and technical approach sections become the foundation for new bids. Human reviews every word.
The system assembles relevant sections from prior work. Similar scope, similar team, similar technical challenges.
Every output holds for human approval. Engineers own the technical content. The AI handles the archaeology.
Proposals that once took days to draft now take hours. Turnaround becomes a bidding advantage.
Structured interview programs turn a departing principal's decades of judgment into a queryable asset for the remaining team.
Structured sessions with departing senior staff. Their reasoning, heuristics, and institutional memory captured as searchable knowledge.
Junior engineers ask the system questions they would have asked the principal. The firm retains what experience taught.
Add-on: expertise interview program at $2,000 CAD per person.
Client IP, sealed drawings, and confidential bid data never leave your perimeter. Sovereign deployment is a contractual selling point with your own clients.
Run on hardware in your facility, a dedicated node, or a private cloud boundary you own. Your data never sits in a shared pool.
Your environment is isolated by design. Knowledge from [FIRM NAME] is never mixed with another firm.
Full audit trail of every question, answer, and export. Compliance is demonstrable, not promised.
Six to eight weeks to deploy the sovereign stack, ingest your documents, and build the first reviewed workflow tools.
Document ingestion, indexing, and testing with your own reports and drawings. Your team begins querying before go-live.
Ongoing monitoring, ingestion of new projects, compliance reporting, and expansion as your needs grow.
Prices in Canadian dollars. Final scope set during kickoff, not a paid discovery phase.
Sovereign deployment for firms up to approximately 100 staff. Single office, one knowledge base, your first reviewed workflow tools. You own the environment.
Large or multi-office deployment: dedicated capacity, expanded scope, and priority delivery across practice groups and regions.
Add-ons: additional department $15,000 · legacy data digitization $5,000/TB · custom integration $250/hour.
Your documents remain in your isolated environment. On request they are removed, exported, or transferred without penalty.
No mixing with other clients. Nothing derived from [FIRM NAME] data is used to improve another firm's system.
74% correct retrieval-grounded vs ~5-10% without, 0% fabrication on trap questions in our measured test set. Every answer cites its source.
Let us show [FIRM NAME] your own documents answering your own questions.