Melt Code

Melt Code is the first building code research AI built for accuracy, transparency, and real compliance decision-making. Unlike generic AI tools that behave like black boxes, Melt Code doesn’t just provide an answer — it shows the full research process so architects and engineers can verify every step and confidently defend their decisions.

Users can ask code questions in plain English and receive reliable, project-specific requirements with:

• Step-by-step reasoning with clear assumptions

• Direct citations to exact code sections for full traceability

• Compliance Paths, mapping multiple valid routes to compliance (based on occupancy, construction type, sprinkler conditions, height/area limits, ratings, etc.) so teams can choose the best design approach

• Exception and cross-reference handling, including circular references across multiple chapters

• Table and diagram understanding, ensuring accurate interpretation of code tables and figures

• Built-in calculations, such as occupant loads, egress sizing, travel distances, and fixture counts

• Personalized compliance illustrations, automatically generated to visually explain requirements for a specific project scenario

Beyond research, Melt Code includes workflow tools that turn compliance into an organizational asset:

• Projects, where teams store project context (location, occupancy, construction type, sprinkler status, etc.) so every question becomes instantly project-aware

• Checklists, allowing firms to build, store, share, and export reusable compliance checklists across teams and project types

The result is dramatically faster research, fewer senior escalations, reduced consultant dependence — and most importantly, confidence and peace of mind in every code decision.