Data Science & AI Consulting

What We Do

We help enterprises move beyond traditional reporting into predictive and prescriptive analytics. Our AI consulting practice combines academic rigour in data science with practical engineering expertise to deliver machine learning solutions that create real business value.

From initial AI strategy and data assessment through to production ML pipeline deployment, we guide organisations through every stage of their AI journey.

Key Capabilities

AI Strategy & Roadmap

Assessing your data maturity, identifying high-impact use cases, and building a pragmatic roadmap for AI adoption that aligns with business objectives.

Machine Learning Engineering

Building, training, and deploying machine learning models for classification, regression, clustering, and anomaly detection. We focus on models that are explainable, maintainable, and production-ready.

Data Pipeline Development

Designing and implementing data ingestion, transformation, and feature engineering pipelines. From batch processing to real-time streaming architectures.

Natural Language Processing

Text classification, entity extraction, sentiment analysis, and document processing solutions for unstructured enterprise data.

ML Operations (MLOps)

Establishing CI/CD pipelines for machine learning models, monitoring model performance, and managing model lifecycle from development to production.

The EAI + AI Synergy

What sets KONDEVS apart is our ability to combine enterprise integration expertise with AI capabilities. Integration platforms generate vast amounts of data about system interactions, business processes, and partner communications. We help organisations unlock the value hidden in this operational data through machine learning.

Use Cases

• Predictive Maintenance: Using integration platform telemetry data to predict system failures before they impact business operations.
• Process Optimisation: Applying ML to BPM data to identify process bottlenecks, predict SLA breaches, and recommend workflow improvements.
• Intelligent Document Processing: Automating the extraction and classification of data from unstructured documents in B2B integration flows.