Scape Data Solutions
AI Applications

Intelligent Solutions for Real-World Problems

From predictive models to generative AI, we build systems that learn, adapt, and deliver measurable business value.

AI Projects

01
Mining

Predictive Maintenance for Heavy Machinery

MiningCorp Ltd.

ML models that analyse sensor data to predict equipment failures up to 48 hours in advance, reducing unplanned downtime.

Python, TensorFlow, Kafka, IoT sensors
22% downtime reduction Saved $6.5M annually in maintenance costs.
02
Retail

Intelligent Customer Support Chatbot

E-Commerce Express

Generative AI chatbot that handles 70% of customer inquiries, with natural language understanding and personalised responses.

OpenAI API, RAG, Pinecone, Node.js
4.5x faster resolution time Customer satisfaction (CSAT) increased by 35%.
03
Legal

Document Classification & Extraction

LegalShield Partners

Automated system that classifies thousands of legal documents and extracts key clauses using NLP.

spaCy, Transformers, AWS Textract
90% reduction in manual effort Legal team now handles 3x more cases with same headcount.
04
Finance

Real-time Fraud Detection

GlobalPay Systems

Ensemble of anomaly detection models that flag suspicious transactions in milliseconds with explainable AI features.

XGBoost, SHAP, Kafka, Redis
99.8% detection accuracy Reduced fraud losses by 45% in first quarter.
05
Retail

Personalised Product Recommendation Engine

StyleHub Fashion

Collaborative filtering and content-based recommendation system that adapts to user preferences in real time.

PyTorch, Elasticsearch, Docker
42% increase in add-to-cart rate Average order value grew by 28%.
06
Healthcare

Predictive Healthcare Triage

MediConnect Hospital

AI model that predicts patient admission risk and triage severity using EHR data, helping ER teams prioritise.

Scikit-learn, PostgreSQL, Flask
30% reduction in ER wait times Improved patient outcomes by 18%.

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