Purpose-built AI backed by 11M+ code sections
Copilot remembers your projects, adapts to your role and communication preferences, references your documents, and automates your most tedious compliance tasks, so answers are sharper, faster, and more reliable than generic AI tools.

Copilot is purpose-built, project-aware AI built for the AEC space.
Unlike generic AI tools, Copilot is designed for compliance workflows, tying codes, documents, projects, and your institutional knowledge together in one place. Whether you’re researching, designing, or reviewing, Copilot delivers trusted answers, faster workflows, and fewer errors.
The tools you need. The context you’ve been missing.
Copilot goes beyond just answering questions; it understands your project, your role, and the downstream work that follows. That context turns isolated answers into guidance teams can actually use.
Project-aware guidance
Tailored to you
Clear, trusted answers
Document uploads
Automated QA/QC checklists
Agentic workflows
More than accurate answers. Real AEC intelligence.
Accuracy is non-negotiable, but it’s only the starting point.
When benchmarked against leading generic AI tools, UpCodes Copilot significantly outperformed them. The results show why purpose-built AI matters for AEC and how much risk firms undertake if they use general-purpose AI for code compliance.
Beyond the unmistakable accuracy advantage, Copilot also embeds visual diagrams, clear citations linked to adopted codes, and project-ready workflows directly into AEC teams' day-to-day work.
From project inputs to compliant decisions — in one connected flow.





In expert-reviewed testing, Copilot delivered significantly higher accuracy than general-purpose AI. That advantage comes from being trained on a library of adopted codes, not the open internet.
Copilot surfaces diagrams inline to explain complex requirements visually, not just textually. Generic AI can describe code; Copilot helps teams understand it.
Every Copilot answer links directly to the exact adopted code section it references. Because it’s built on UpCodes’ maintained code library, citations are clear, current, and enforceable.
Copilot doesn't stop at answers; it creates checklists, saves research to projects, and carries context across your work. Generic AI lives in a chat box; Copilot powers an end-to-end compliance workflow.
1. Testing conducted by UpCodes in June 2026 with Copilot completing the non-case study questions in “Project Development and Documentation” section of the “Architect Registration Examination 5.0” (Practice Exam).
2. Testing conducted by UpCodes in April 2024 with Copilot completing the “B3 - Building Plans Examiner: Practice Exam” on Udemy.
3. Testing conducted by UpCodes in March 2026 with Copilot completing the “B2 - Commercial Building Inspector: Practice Exam” on Udemy.
4. Testing conducted by UpCodes in March 2026 with Copilot completing the "Commercial Mechanical (M2): Practice Exam" on Udemy.
How leading architecture firms streamline codes and specs—end to end

Copilot is included in the UpCodes Professional plan. Essentials users can try Copilot with limited access, but full capabilities are reserved for Professional subscribers.
Generic AI tools are trained on broad internet data and aren’t designed to handle the complexity of AEC compliance. UpCodes Copilot is purpose-built on a continuously maintained library of locally adopted codes, amendments, assemblies, and products, with clear citations back to the exact sections used.
That difference shows up in practice: in a recent expert-reviewed study, Copilot was 57% more accurate than leading generic AI tools when answering real-world code questions.
Yes. Copilot remembers your jurisdiction, building type and size, and code year, so you don’t have to start over every time. You can also upload project documents like AHJ comments or spec drafts for more tailored, project-aware answers.
Accuracy is where purpose-built AI matters most. In an independent study of 43 real-world code questions, responses from Copilot and several generic AI tools were evaluated by industry subject matter experts.
UpCodes Copilot earned a 93% weighted accuracy score across major code families (more than 2× the accuracy of generic AI tested). Every answer is grounded in adopted codes, includes verifiable citations, and often surfaces diagrams to support interpretation.
Yes. Copilot doesn’t stop at Q&A. It can generate project-specific checklists, and soon, full specifications — all tied directly to your projects. This enables collaboration across teams, centralizes compliance tracking, and replaces hours of manual QA/QC with automated, reliable workflows.
Your data is your data. Copilot does not train on your conversations or documents, and we use secure, enterprise-grade infrastructure to protect sensitive information. Conversations are private by default and cannot be seen by teammates unless you explicitly share them.




