PATHIKA

SERVICES / DATA & AI

Data & AI Solutions

Turn your data into decisions and automation

AI is only as good as the data underneath it. We design and build modern data platforms on AWS and Azure — from ingestion and lakehouse architecture through to analytics, ML models, and retrieval systems that ground AI in your organisation's knowledge.

Our work spans real-time IoT processing, financial data integration, intelligent document processing, and enterprise search — always with governance and security appropriate to the data involved.

What we deliver

Data Platform Engineering

Lakehouse and warehouse architectures on S3, Redshift, Microsoft Fabric, and Databricks, with pipelines built for reliability and observability.

Retrieval & Knowledge Systems

RAG architectures, vector search, and enterprise knowledge bases that let LLMs answer accurately from your documents, systems, and APIs.

Machine Learning & Forecasting

Custom models for prediction, classification, and anomaly detection — trained, deployed, and monitored on SageMaker and Azure Machine Learning.

Intelligent Process Automation

Document processing, workflow automation, and multi-agent systems that remove manual effort from finance, operations, and reporting.

Outcomes you can expect

  • A governed single source of truth instead of scattered spreadsheets and silos
  • AI answers grounded in your data, with citations and access controls
  • Manual reporting and document handling replaced by automated pipelines

Built on

Amazon SageMakerAWS Glue & RedshiftMicrosoft FabricAzure Machine Learning

We work natively with AWS and Microsoft Azure, choosing the managed services that fit your existing estate, compliance requirements, and team skills.

Ready to start with data & ai?

Tell us about your goals and current systems, and we'll come back with a concrete path forward.

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