Private AI for engineering firms
Give project teams a private assistant that understands drawings, specifications, RFIs, standards, proposals, and lessons learned without exposing client IP.
Civil, structural, mechanical, electrical, environmental, and multi-discipline engineering firms.
Built for project boundaries, client confidentiality, technical review, and repeatable evidence across proposals and delivery work.
Assistance stays accountable.
Built for project boundaries, client confidentiality, technical review, and repeatable evidence across proposals and delivery work.
The reviewer owns the decision
Sotaire supports research, analysis, drafting, and triage. Authorized professionals remain accountable for the final work.
Answers depend on approved sources
Citations make the source trail visible; missing, stale, or inaccessible material still requires human judgment.
Tools stay within configured scope
Repositories, integrations, and actions are enabled for the deployment rather than assumed to be universally available.
High-value work, kept inside the boundary.
These workflows are tuned for civil, structural, mechanical, electrical, environmental, and multi-discipline engineering firms.
Find the right section, tolerance, design note, or client requirement with cited answers.
Draft pursuit language from approved project examples, resumes, and technical approaches.
Summarize context, compare related documents, and prepare review notes for engineers.
Turn closed-project history into an internal knowledge base teams can actually query.
From controlled knowledge to reviewed output.
The deployment rhythm stays consistent: scope the data, retrieve with evidence, and route consequential work through the accountable people.
Separate each project by client, discipline, users, files, and approved knowledge sources.
Index drawings text, specifications, reports, calculations, and standards into cited search.
Send drafts, summaries, and risk notes to designated reviewers before they reach clients.
Built around the systems your team already trusts.
Sotaire connects approved repositories, templates, exports, and policy sources while preserving the local network boundary.
One customer environment per deployment.
Answers come from approved local sources.
Only explicit external paths are allowed.
Prompts, sources, and approvals stay auditable.
Questions before scoping.
A few practical answers for teams deciding whether private AI belongs inside their workflow.
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View solutionScope a private AI deployment for engineering.
Tell us about your data, workflow, access model, and review requirements. We will map the right local deployment.
Bring the workflow, the sensitive sources, and the review rules. We'll map the deployment boundary and next step.