Technology expertise
Data & AI technologies
Data platforms, machine learning, LLM applications and intelligent automation.
Data & AI tools and ecosystems.
Exact versions and supporting tools are confirmed for the engagement; this list represents the ecosystems we can plan around.
PythonSQLdbtSparkAirflowDatabricksLLM APIsVector databases
Where data & ai expertise contributes.
Stack knowledge is useful when it is connected to architecture, quality, delivery and operational responsibility.
- Batch and streaming data pipelines
- Analytics and semantic modelling
- Machine learning engineering
- RAG and generative AI applications
- AI-agent workflow orchestration
- Evaluation, MLOps and AI observability
Connect data & ai technologies to delivery and people.
Use the service page when you need an owned outcome; use the hiring page when you need specialists inside your existing delivery system.
Discuss your data & ai environment.
Share the current stack, delivery constraint and ownership you need from an offshore team.