3 deep technical case studies showing how we turned complex AI prototypes into scalable, enterprise-grade systems.
AI course platform, 60% faster content creation, 1000+ users
The team needed a platform capable of generating complete online courses automatically, combining lesson plans, visuals, audio synthesis, and structured modules. The core engineering hurdle was linking multiple AI modalities without performance lag or system crashes.
We built a unified AI pipeline powered by AI Foundry with Python/Django for orchestration and Next.js for real-time frontend updates. The platform automatically generates titles, module objectives, text lessons, custom illustration assets, and instant natural audio narration.
RAG chatbot, WhatsApp integration, sub-200ms responses
Shiran required an intelligent business chatbot that could index multi-format company data, parse complex XML schemas, and stream context-accurate responses over WhatsApp with tiered user authorization.
We engineered a FastAPI backend with vector embeddings for high-precision retrieval, paired with an XML parsing pipeline and WhatsApp Cloud API integration. The architecture includes rate limiting, session caching with Redis, and automated permission guardrails.
Enterprise MDM, thousands of devices managed in real-time
Enterprise IT teams needed centralized, low-latency device control to track hardware state, enforce policies, trigger remote software updates, and perform emergency lock/wipe actions across thousands of global endpoints.
We built a Python Odoo backend integrated with a React micro-frontend framework inside an Nx monorepo. Real-time telemetry via WebSockets provides instant status monitoring and hardware lifecycle management.
AI image enhancement platform, 70% faster processing, 4K+ images monthly
The platform needed to handle multiple concurrent image enhancement pipelines (including face restoration, noise reduction, sharpening, color correction, and upscaling) while maintaining fast response times and high resolution outputs.
We built an optimized FastAPI backend executing asynchronous image processing queues with PyTorch and OpenCV. A clean, interactive React frontend provides drag-and-drop uploads, instant visual side-by-side comparisons, and batch downloading.
E-Commerce architecture, 30% faster checkouts, component-driven frontend
The store required a fast, highly-responsive checkout interface, custom store management settings for administrators, and robust real-time product browsing flows that handle surges in customer traffic.
We engineered a modular frontend in Angular using TypeScript and RxJS for state management, linking to REST APIs. The admin dashboard features product catalog controls, category setup, sales metrics reporting, and order lifecycle tracking.
AI security platform, 75% fewer incidents, automated anomaly detection
IT directors needed a security intelligence suite to detect content theft, scan anomalies, and track user behavior in real-time to trigger automated blocks.
We built a Next.js console with a Django backend that streams telemetry data via WebSockets and schedules automated threat responses based on machine learning anomaly detection models.
Centralized education portal, 95% attendance accuracy, role-based dashboards
An educational center needed to digitize student records, course rosters, class fee tracking, and messaging across separate panels for admins, teachers, and student accounts.
We developed a multi-tenant React frontend paired with a Django REST API setup. The database design maps course modules and parses student attendance logs dynamically.
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