Case Studies
How GenAI Protos turns AI models into governed, API-ready systems that teams can operate.
AI-Powered Retail Personalisation Platform
GenAI Protos designed and delivered an AI-powered Retail Personalisation and Fulfilment Platform for a global-scale retail enterprise. The platform unifies clickstream, search, purchase history, visual signals and cart events into a real-time customer intent layer. It combines deep learning, regression models, multimodal recommendations and agentic fulfilment orchestration to improve discovery, checkout and post-purchase engagement, with documented outcomes including a 35% incremental revenue uplift and 20% customer loyalty improvement.
Real-Time Social Media Sentiment Intelligence Platform
GenAI Protos engineered a production-grade Agentic AI Sentiment Intelligence Platform for a financial services and brand intelligence use case. The platform processes 2.3M+ daily social signals, uses a multi-agent LangGraph workflow, grounds sentiment reasoning through Advanced RAG, and delivers 94% sentiment accuracy, sub-800ms p95 signal-to-insight latency, 67% analyst time savings and 3.1x ROI at six months.
AI-Powered Marketing Intelligence Platform
GenAI Protos built a multi-agent AI marketing intelligence platform that reduced content creation time by 50%, improved campaign ROI by 20%, accelerated audience segmentation by 3x and increased engagement by 40%. The platform uses specialised agents for content generation, consumer trend analysis and personalised advertising, coordinated by an orchestrator agent and grounded by RAG, CRM data and analytics signals.
AI-Powered IT Operations Intelligence
GenAI Protos designed and deployed an AI Operations platform that unifies infrastructure telemetry, logs, metrics, and event streams into an intelligence layer for proactive monitoring, anomaly detection, predictive maintenance, intelligent ticketing, and L1 support automation. The system uses Azure AI services, Azure ML, Azure Event Hubs, Logic Apps, ITSM integrations, and an AI support bot to reduce IT support cost, improve uptime, accelerate ticket resolution, and deflect repetitive L1 incidents.
AI-Powered Contract Intelligence: Transforming Legal Document Review with GenAI
GenAI Protos designed and deployed an AI-powered contract intelligence platform for a legal services organisation handling thousands of contracts annually. The platform combines Large Language Models, Retrieval-Augmented Generation, multimodal document parsing, semantic clause extraction, agentic risk intelligence, and reviewer validation to reduce contract review time by 40%, improve risk detection, reduce billable overhead, and provide clause-level review visibility for legal teams.
AI-Powered Radiology Intelligence Platform
GenAI Protos designed and deployed an AI radiology intelligence platform for a leading healthcare organization. The platform fuses imaging data, patient history, and lab results to support radiologist review, surface ranked differential diagnoses, generate structured reports, and automate adjacent workflow steps. The documented impact includes faster diagnosis, reduced unnecessary procedures, less documentation time, and higher radiology capacity.
AI-Powered Adaptive Learning Platform
GenAI Protos designed and delivered an AI-powered Adaptive Learning Platform for a leading online learning enterprise. The production system continuously analyses learner performance, engagement, and behavioural signals to personalise content modality, difficulty, and sequence in real time. The platform combines deep learning learner modelling, an adaptive difficulty engine, multimodal content delivery, AI-assisted content generation, and feedback optimisation - producing measurable gains in enrolment, completion, engagement, learner satisfaction, and content efficiency.
Private AI Music Generation API Deployed on DGX Spark
GenAI Protos deployed a private text-to-music generation service on NVIDIA DGX Spark. The implementation wraps HeartMuLa-oss-3B and the HeartCodec decoder in a FastAPI service, exposes the capability through a LiteLLM gateway, supports synchronous and asynchronous MP3 generation, and includes health, preload, unload, lazy-load, and auto-unload controls for practical operation.