JustAINews · July 1, 2026
How FireDesign.ai Is Using AI to Automate Fire Sprinkler Design
JustAINews sat down with FireDesign.ai founders Jason Tielve and Omar Hafez to discuss reading architectural plans with AI, enforcing NFPA compliance through deterministic rules, and keeping licensed engineers in control.
By FireDesign Team
JustAINews interviewed FireDesign.ai founders Jason Tielve and Omar Hafez about how the platform applies AI to one of construction's most manual and time-intensive workflows: fire sprinkler system design.
The discussion centers on a practical industry bottleneck. Sprinkler design still requires significant repetitive work, even though many code requirements are consistent from project to project. FireDesign.ai addresses that gap by using AI to interpret building geometry from architectural plans and pairing that output with a deterministic rules engine for NFPA compliance.
That structure is central to the platform's approach. AI helps read and organize plan data, while compliance decisions remain governed by rules designed for consistency, auditability, and professional review.
The interview reinforces that human judgment remains essential in life-safety systems. Licensed engineers review outputs before certification, and new features are validated against benchmark projects before reaching production users. The same hybrid AI-plus-rules model may also extend into other MEP disciplines, including plumbing, mechanical, and electrical workflows.