Melt Code by MeltPlan is an AI-native building code research engine for architects and engineers that delivers project-specific compliance requirements in minutes — with transparent reasoning, code citations, and guided compliance paths so teams can confidently choose the right design approach.
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.
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.
See Melt Code in action through screenshots and short videos.
See how Melt Code stacks up against similar tools before you decide.
MeltPlan is the AI-native planning engine for the built environment, bringing code compliance, cost, schedule, and value engineering into one connected system. It helps architects, engineers, and contractors make faster, more confident decisions before construction begins — with transparent reasoning, verifiable sources, and workflows built for real project execution.
ArchiBoost AI is an AI-powered co-pilot for architects, engineers, developers, and general contractors. We help teams navigate complex building codes, activate institutional knowledge, and automatically review drawing sets for coordination risks — reducing RFIs, rework, and permitting delays. Built by AEC professionals, for AEC professionals.
Kestrel is building code compliance software that runs inside Revit, checking BIM models against jurisdiction-specific requirements during design. It flags issues directly on model elements and ties every result to a cited code section. Teams run compliance checks continuously, not just at plan check, so problems surface while they are still easy to fix. Kestrel brings building code into the model, giving teams a clear, real-time understanding of where their project stands.
