Services

End-to-end work across the data lifecycle.

Hire one practice, or all four. We bring senior operators who've shipped this kind of work before, and who know when to stop building.

01

Data Science

Models that move the business.

  • Forecasting & demand planning
  • Experimentation platforms & causal inference
  • Customer-lifetime, churn & propensity modelling
  • Decision systems with humans in the loop
02

Data Engineering

Pipelines so quiet you forget they're there.

  • Warehouse / lakehouse architecture (Snowflake, BigQuery, Databricks)
  • dbt, Airflow, Dagster: modelled, tested, observable
  • Streaming with Kafka & Flink for real-time use cases
  • Cost, lineage and data-contract discipline
03

Product Management

Strategy and shipping for data & AI products.

  • Zero-to-one product discovery for AI features
  • Roadmaps, OKRs and prioritisation that survive the quarter
  • Stakeholder craft across DS, Eng and the business
  • Fractional product leadership for early-stage teams
04

LLM System Design

Production-grade architecture for real models.

  • RAG: retrieval, chunking, ranking, evals
  • Agents, tool-use and orchestration with guardrails
  • Eval harnesses, regression suites & online quality
  • Latency, cost and safety budgets that hold under load

Not sure which practice you need? Most engagements start as one and quietly become two. We'll help you scope it honestly.

Book a scoping call