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AI Services

Transforming businesses through intelligent, scalable, and responsible Artificial Intelligence.

AI is no longer a competitive differentiator; it is a strategic imperative. Data Containers provides a comprehensive AI consulting and implementation practice that spans the full AI lifecycle: from strategy and readiness assessment through model development, MLOps deployment, and responsible AI governance. Our multidisciplinary teams of data scientists, ML engineers, and domain experts deliver AI solutions that create tangible, measurable business outcomes.

We specialize in generative AI, large language models (LLMs), predictive analytics, natural language processing, and computer vision, applied across Wealth Tech, Health Tech, BFSI, CRE, and Manufacturing.

1
Years of Experience
AI Strategy & Advisory
Product Design
Custom Software Development
Data Engineering & Analytics
Machine Learning Solutions
Cloud & DevOps Services
Automation & Workflow Optimization
Cybersecurity & Compliance
Digital Transformation Consulting
Managed IT & Support Services
AI Strategy & Advisory
Product Design
Custom Software Development
Data Engineering & Analytics
Machine Learning Solutions
Cloud & DevOps Services
Automation & Workflow Optimization
Cybersecurity & Compliance
Digital Transformation Consulting
Managed IT & Support Services

AI ADVISORY & STRATEGY

Before building, we help you think clearly:

AI Readiness & Maturity Assessment evaluate data, infrastructure, talent, and cultural readiness
AI Strategy & Roadmap prioritise use cases by ROI, feasibility, and strategic alignment
Build vs Buy vs Partner Analysis vendor evaluation and platform selection
AI Ethics & Responsible AI Framework bias auditing, explainability, regulatory compliance
Enterprise AI Governance policies, model risk management, audit trails

CORE AI SERVICE OFFERINGS

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Generative AI & LLM Solutions

Design and deploy GenAI applications using GPT-4, Claude, Gemini, Llama, and custom fine-tuned models. RAG pipelines, AI agents, and enterprise copilots tailored to your workflows.
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Machine Learning & Predictive Analytics

End-to-end ML engineering: feature engineering, model training, validation, deployment, and monitoring for regression, classification, clustering, and time-series forecasting.
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Natural Language Processing (NLP)

Document intelligence, entity extraction, sentiment analysis, semantic search, chatbots, and conversational AI for contracts, medical records, financial reports, and customer communications.
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Computer Vision

Image classification, object detection, OCR, defect detection, and video analytics for manufacturing quality control, healthcare imaging, and real estate property inspection.
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Deep Learning & Neural Networks

TensorFlow, PyTorch-based architectures for complex pattern recognition applied to fraud detection, risk modelling, demand forecasting, and anomaly detection.
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MLOps & AI Platform Engineering

Production-grade ML pipelines using MLflow, Kubeflow, SageMaker, Azure ML. Automated retraining, drift detection, model registry, and CI/CD for AI workloads.

INDUSTRY AI USE CASES

Wealth Tech & FinTech
  • AI-powered portfolio optimisation and robo-advisory engines
  • Intelligent client onboarding with document AI and KYC automation
  • LLM-based investment research summarisation and sentiment analysis
  • Predictive churn models for wealth management clients
  • Clinical NLP for EHR data extraction and coding automation
  • Diagnostic AI for radiology, pathology, and clinical decision support
  • Patient risk stratification and readmission prediction models
  • Drug-drug interaction detection and clinical trial matching
  • Real-time fraud detection using anomaly detection ML models
  • Credit risk scoring with explainable AI for regulatory compliance
  • AI-driven AML (Anti-Money Laundering) transaction monitoring
  • Conversational AI for retail banking and insurance claims
  • Property valuation models using comparable sales and market data
  • Lease abstraction and contract intelligence using NLP
  • Tenant default prediction and portfolio risk scoring
  • ESG compliance scoring powered by AI data aggregation
  • Predictive maintenance using IoT sensor data and ML
  • Visual quality inspection with computer vision on production lines
  • Demand forecasting and inventory optimisation models
  • Supply chain disruption prediction and mitigation AI

AI TECHNOLOGY STACK

OpenAI GPT-4 / GPT-o1
Anthropic Claude 3
Google Gemini
Meta LLaMA 3
Mistral AI
Azure OpenAI Service
AWS Bedrock
Google Vertex AI
Hugging Face
LangChain
LlamaIndex
TensorFlow
PyTorch
Scikit-learn
Apache Spark MLlib
MLflow
Kubeflow
ONNX
Pinecone
Weaviate
PostgreSQL pgvector

ENGAGEMENT APPROACH

AI Discovery Sprint (2 Weeks)

Use-case identification, data landscape mapping, quick-win prioritisation, and business case development.
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Proof of Concept (4–6 Weeks)

Rapid MVP build for the highest-priority use case validated against real data with measurable success criteria.
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Production Deployment

Iterative delivery of production-grade AI solutions with full MLOps, monitoring, and model governance.
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Continuous Improvement

Ongoing model monitoring, retraining, drift correction, and capability expansion under a managed advisory model.
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Let’s build your future.

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