Building the future of architectural estimation with Django and NUXT.
Architectural firms often rely on disconnected spreadsheets, manual calculations, and repetitive workflows to prepare project estimates. This process consumed valuable time, introduced costly human errors, and made it difficult to scale bidding operations efficiently.
As firms grew, inconsistent pricing models and delayed proposals began impacting competitiveness and internal productivity.
We developed Onuman, a centralized cloud-based estimation platform tailored for the architecture and construction industry.
The goal was to replace fragmented tools with a single intelligent system that could automate calculations, standardize pricing logic, and simplify proposal generation.
Special attention was given to user experience so architects and project managers could operate advanced tools without technical complexity.
The core challenge was building a calculation engine capable of processing hundreds of linked variables in real time.
Material costs, labor rates, dimensions, regional pricing, dependencies, and custom project logic all needed instant recalculation when values changed.
To solve this, we engineered:
Onuman launched with a complete enterprise-ready feature set:
The platform used a modern decoupled architecture with Django REST Framework powering APIs and Nuxt 3 delivering a fast interactive frontend. The interface was designed around calm layouts, structured forms, and low-friction workflows to reduce cognitive load for busy professionals handling complex estimates.
Measured Over a 6-Month Growth Cycle
Automation significantly reduced manual estimate preparation time.
Centralized logic removed spreadsheet inconsistencies.
Scalable infrastructure supported rapid business growth.
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