A mobile application integrated with a web platform and AI assistant, enabling field workers to capture and annotate on-site photos that sync instantly. Powered by a RAG-enabled OpenAI model and Stripe-based SaaS billing, the system streamlines construction workflows, centralizes documentation, and accelerates compliance checks across projects.
The client, a construction company, faced a critical bottleneck in managing on-site data. Field teams had to take photos, annotate drawings, and gather documentation manually. This information was then stored across fragmented systems like Google Drive, often requiring additional steps to categorize, share, and attach files to specific projects.
The process was:
The company needed a solution that would streamline the flow of field data directly into the project workspace, making it instantly accessible for AI-driven analysis and compliance checks.
We developed a dedicated mobile application tightly integrated with the platform’s web interface and AI assistant. The app enables field workers to contribute structured data in real time, ensuring a continuous and reliable flow of information from the construction site to the digital workspace.

Field staff can capture photos on-site, and the app automatically uploads them to the relevant project. This eliminates manual file transfers and ensures that every visual update is tied directly to the right property.
Users can add comments and mark up images immediately in the field. These annotations become part of the project documentation, helping architects and engineers understand site conditions without additional site visits.
All information from the mobile app syncs with the web platform. Uploaded photos, notes, and documents instantly become available to the AI assistant, which can then provide recommendations, check compliance with local regulations, and support decision-making.

The platform integrates with Stripe for payments: creating a new project requires a flat fee of $240. This makes the mobile app part of a fully operational SaaS business model.
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