Big Data Engineering
We bring large-scale data together from multiple sources and build governed pipelines and data lakes for analytics and AI.
Start with your business needs
What are your data volumes, sources and update frequency, and which analytics or AI applications do you need to support?
Together we define scope, required integrations and acceptance criteria before agreeing on the delivery plan.
Discuss your Big Data projectEnterprise knowledge preparation
Clean, organize and deduplicate documents, with source and access tracking to prepare knowledge for AI assistants and retrieval-augmented generation (RAG).
Data annotation & human review
Classify Arabic and English text and conversations, extract information and create question-answer examples with clear guidelines and human quality review.
Model evaluation & improvement
Independent tests for answer accuracy, source grounding and language understanding, with error analysis, improvement recommendations and before-and-after measurement.
Big Data engineering
Connect large-scale data sources and build batch and streaming pipelines and data lakes, with quality monitoring and access governance for analytics and AI.
Explore Big Data services ↗Clear deliverables. Agreed standards. Structured datasets, review guidelines, a test set and a quality report, with access permissions and a data update process tailored to your organization.
How we work with you
Understand requirements
Review your current workflows and desired outcome.
Define the solution
Agree on scope, integrations and priorities.
Review and delivery
Review deliverables against agreed acceptance criteria.