AI & Machine Learning
Core Capabilities
What We Do
We design and deploy intelligent systems that learn from data and improve over time — whether you're optimising internal operations or transforming customer engagement. From prototypes to production, we support your AI journey end-to-end.
Turn historical data into future decisions
We build regression and classification models that anticipate trends — enabling smarter resource planning, churn reduction, sales forecasting, and operational optimisation.
Use Cases
Tools & Frameworks:
- Scikit-learn, XGBoost, LightGBM
- Python, Pandas, NumPy
- MLflow for experiment tracking
Understand users. Personalise at scale.
Leverage Natural Language Processing to analyse feedback, classify content, extract entities, and power sentiment-aware chatbots. Deliver tailored product/content suggestions that boost engagement and retention.
Use Cases
Tools & Frameworks:
- spaCy, NLTK, Hugging Face Transformers
- OpenAI GPT, BERT, FastText
- Amazon Personalize, LightFM
Plan with precision. Stay ahead of the curve.
We use ARIMA, Prophet, LSTM and hybrid models to forecast demand, pricing, and capacity. Perfect for retail, healthcare, logistics, and energy management.
Use Cases
Tools & Frameworks:
- Facebook Prophet, ARIMA, LSTM (Keras/TensorFlow)
- GluonTS, Darts, Statsmodels
- Pandas, Plotly
Catch outliers before they cause damage.
Automate fraud detection, fault diagnosis, and system monitoring with real-time anomaly detection models. Get instant alerts on suspicious patterns and ensure business continuity.
Use Cases
Tools & Frameworks:
- Isolation Forest, One-Class SVM, Autoencoders
- PyOD, Scikit-learn, Azure Anomaly Detector
- ELK Stack for log-based anomaly detection
Extract insights from images and video.
Train AI models to detect objects, faces, defects, or text using technologies like YOLO, OpenCV, and TensorFlow. Apply it in manufacturing, retail surveillance, OCR, or biometric systems.
Use Cases
Tools & Frameworks:
- OpenCV, YOLOv5/v8, TensorFlow/Keras, PyTorch
- Tesseract OCR, Detectron2, MediaPipe
- Amazon Rekognition, Google Vision API
Operationalise your AI with confidence.
Deploy and monitor models at scale using CI/CD pipelines, version control, and retraining workflows. We help you manage the full ML lifecycle using tools like MLflow, Kubeflow, and AWS Sagemaker.
Use Cases
Tools & Frameworks:
- MLflow, Kubeflow, SageMaker, Azure ML
- Docker, Kubernetes, GitHub Actions, Airflow
- EvidentlyAI, WhyLabs for monitoring
Strategic Scaling
Our Process
Tech Stack
Technologies
