Portfolio & Case Studies
Our Work & Success Stories
Explore how we’ve helped organizations across industries transform their data into competitive advantages and measurable business outcomes.
Predictive Maintenance for Industrial Assets
Challenge: A global leader in industrial equipment needed to reduce costly, unplanned downtime by predicting failures in critical mechanical components.
Solution: We developed and deployed a suite of machine learning models to predict the Remaining Useful Life (RUL) of key assets. The system enabled a shift from reactive repairs to proactive, data-driven maintenance scheduling.
Results Achieved:
- Reduced equipment downtime by over 400 hours annually.
- Generated multi-million dollar savings in maintenance costs.
- Improved failure prediction accuracy to 90%.
- Decreased model prediction error by 15%.
Python Deep Learning Time-Series Forecasting Anomaly Detection MLflow
Custom LLM - Enterprise AI Assistant
Challenge: A startup needed to democratize access to information. Internal teams struggled to find answers in a vast knowledge base, while external clients lacked a simple way to query their own analytics data without technical expertise.
Solution: We engineered a secure, custom Large Language Model from scratch and hosted it on a scalable cloud infrastructure. The solution featured two interfaces: an internal AI assistant trained on company documentation, and an external-facing natural language querying tool that allowed clients to interact with their data using plain English.
Results Achieved:
- Enabled self-service analytics for non-technical users.
- Reduced internal support ticket volume by 40%.
- Decreased time-to-insight for clients by 80%.
- Increased employee productivity by minimizing information search time.
Transformers LangChain Pinecone FastAPI Docker
NLP-Powered Pricing Optimization
Challenge: An after-sales division struggled with pricing errors, impacting revenue and customer satisfaction. They needed a way to enhance their pricing prediction capabilities.
Solution: We applied advanced Natural Language Processing (NLP) techniques to analyze historical sales data and textual information. This model was integrated into their workflow to provide more accurate, real-time pricing recommendations.
Results Achieved:
- Reduced pricing errors by 25%.
- Improved customer retention and sales strategies.
- Built real-time dashboards to predict customer lifetime value.
NLP Transformers Python Supervised Learning Statistical Analysis
Real-Time Equipment Health Monitoring
Challenge: A technology solutions provider needed to enhance the reliability of their real-time equipment health monitoring system to minimize critical failures for their clients.
Solution: We implemented deep learning models and automated data pipelines to process and analyze sensor data in real time. Interactive Grafana dashboards were developed to visualize health metrics and reduce incident response times.
Results Achieved:
- Accelerated data processing by 3x.
- Minimized critical equipment failures and enhanced reliability.
- Enabled rapid incident response through real-time visualization.
Deep Learning Grafana Big Data Analysis Data Pipelines Cloud Platforms Docker
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