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Suffescom was tasked with architecting a large-scale professional branding solution for a corporate client. The objective was to integrate the industry-leading Aragon AI API into a custom, enterprise portal to automate headshot generation for over 5,000 employees.
While Aragon AI provides the core generative engine, the client requires an enterprise-grade wrapper that the standard consumer app does not offer. Our team engineered the bridge between Aragon AI's high-fidelity outputs and the client’s internal HR ecosystem.
We utilized Aragon's RESTful API to trigger personalized model training (DreamBooth fine-tuning) using the subject's source photos.
We built a custom orchestration layer to manage the data flow. This ensured that employees' sensitive biometric data never remained on public servers longer than necessary.
Since Aragon AI model training required 15–45 minutes, we implemented a secure webhook listener system to manage asynchronous processing, automate status updates, and ensure seamless delivery of generated professional headshots to users.
Before sending photos to Aragon AI, our system runs pre-flight validation with OpenCV to check lighting, face orientation, and resolution. This reduced failed generations by 18%, saving the client significant API credit costs.
To prevent API credit waste and ensure high-fidelity outputs, we implemented a multi-stage computer vision gatekeeper.
To make the Aragon AI engine business-ready, we built the following modules:
Integrated SAML/Okta so employees could access the AI generator without creating new accounts.
A dashboard allowing HR admins to send unique generation tokens to thousands of employees via a single .csv upload.
We used the API to lock specific styles and backgrounds (e.g., executive grey), ensuring 100% visual consistency across the entire company directory.
In compliance with SOC 2 Type II and GDPR, we architected a transient data environment.
Employee photos were securely stored in an encrypted Amazon S3 bucket configured with a strict 24-hour lifecycle policy, ensuring temporary retention, automated cleanup, and compliance with enterprise-grade data privacy and security standards.
Once the final headshots were successfully transferred to the client’s internal HR platform, our middleware automatically issued a DELETE request through the Aragon API endpoint to permanently remove associated training models and data.
Every activity, from the initial employee photo upload to the final data purge process, was recorded within an immutable CloudWatch logging stream, ensuring full compliance visibility, traceability, and enterprise-ready audit documentation standards.
The Core Engine
Backend logic
Queue management
Storage & Logging
Computer Vision
SSO/Security
By leveraging the Aragon AI API and building a custom enterprise infrastructure around it, we delivered a solution that:
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