Others help search code.
MeltCode helps in design decisions.

Architects and Engineers want to ultimately take design decisions which are code-compliant, not get endlessly stuck in searching codes

Accuracy vs Transparency Chart: Meltplan, Upcodes, and AI Chatbots
Accuracy
Certified

Acing the building inspector exams

We, at MeltCode, take code compliance very seriously. Making our AI system reliable, predictable, and understanding the construction industry context is very important. Our most robust testing to ensure it's happening is to make our AI system take building inspector tests and we are proud to announce that we score an average of 95% on these tests.

98%
Mechanical Inspector Test (M2)
97%
Plumbing Inspector Test (P2)
94%
Residential Building Inspector Test (B1)
93%
Commercial Building Inspector Test (B2)
UpCodesUpCodes
Helps you search code
AI ChatbotsGeneral purpose AI Chatbots
Not designed for industry / high-stake decisions
MeltCodeMelt Code
Helps you take code-compliant design decisions faster
Search Space
Will pick up relevant codes
Can or cannot pick relevant code with amendments and/or version.
Will pick up relevant codes
Output
Answer
Answer
Full design decision framework
Project Context
Depends on user on how much context they provide
Depends on user on how much context they provide
Even with minimal user input, MeltCode surfaces every relevant answers for possible project scenarios, so you don't have to second-guess or dig deeper.
Trust
Does provide in-line code sections to check its work
Tough to make out if project context was properly applied
Have to do more work to check its work
Full chain of thought, assumptions, and design decision tree helps gain user's trust
Traceability
None
None
Trace full chain of thought and design decision tree
Diagram / Illustration
Static and limited
None
Personalized to your query
MELTPLAN