Data Science & AI Consulting
From raw data to real decisions - we build the ML pipelines, predictive models, and AI strategies that turn your enterprise data into a competitive weapon.
Data Is Your Advantage. If You Can Use It.
Every enterprise sits on a goldmine of operational data - integration logs, process metrics, customer interactions, partner transactions. Most of it goes unused.
We change that. Our AI consulting practice combines deep data science expertise with the practical engineering muscle to take models from notebooks to production. No science projects - just AI that delivers measurable business outcomes.
The EAI + AI Edge
What sets KONDEVS apart: we understand enterprise data at the infrastructure level. Our integration roots mean we know where data lives, how it flows, and what it means in context. That foundation makes our AI solutions faster to build, more accurate, and easier to maintain.
Our AI Capabilities
AI Strategy & Roadmap
We assess your data maturity, identify high-impact use cases, and build a pragmatic AI roadmap aligned with business objectives. No hype - just clear priorities and measurable milestones.
Machine Learning Engineering
Building, training, and deploying production-grade ML models for classification, prediction, anomaly detection, and recommendation. Explainable, maintainable, and designed for real-world data.
Generative AI & LLM Integration
Integrating large language models into enterprise workflows - from intelligent document processing and automated reporting to conversational interfaces powered by OpenAI, Anthropic, and open-source models.
Data Pipelines & Feature Engineering
Designing robust data ingestion, transformation, and feature pipelines. From batch ETL to real-time streaming with Apache Spark and modern data stack tools - ensuring your models always have clean, fresh data.
MLOps & Model Lifecycle
CI/CD for machine learning. We set up model versioning, automated retraining, performance monitoring, and drift detection - so your models stay accurate and your team stays productive.
NLP & Intelligent Document Processing
Extracting structure from chaos. Text classification, entity recognition, sentiment analysis, and automated document processing for the unstructured data that flows through your integration layer.
Use Cases
- Predictive Maintenance - Using integration platform telemetry to predict system failures before they impact operations - reducing downtime and support costs.
- Process Intelligence - Applying ML to BPM data to identify bottlenecks, predict SLA breaches, and recommend workflow optimisations in real time.
- Intelligent Document Processing - Automating data extraction and classification from unstructured documents in B2B integration flows - invoices, orders, compliance documents.
- Conversational Enterprise - LLM-powered interfaces that let business users query enterprise data, trigger workflows, and get answers in natural language.
Technologies We Use
- Python
- TensorFlow / PyTorch
- LangChain / LlamaIndex
- Apache Spark
- MLflow / Kubeflow
- Vector Databases
- OpenAI / Anthropic APIs