Ingestion & pipelines
Batch and streaming pipelines with contracts, schema evolution and replay.
All services
Data & Platform
Data Foundations
Models are only as defensible as the data underneath them.
- Day 1
- Lineage on every dataset
- 90%+
- Quality gate coverage
- Weeks
- Not quarters, to first pipeline
The problem we solve
Most failed AI programmes are failed data programmes wearing a new label. We build the ingestion, quality and lineage layer that makes AI repeatable — and we build only as much of it as the roadmap actually needs.
What the work includes
Quality gates
Automated validation, anomaly detection and blocking rules before bad data reaches a model.
Lineage & catalogue
Column-level lineage, ownership and business glossary that make audit a query, not a project.
Feature & vector stores
Reusable features and embeddings with consistent training and serving semantics.
Unstructured data readiness
Document, image and audio corpora cleaned, deduplicated, permissioned and indexed.
How the engagement runs
A sequence you can plan a quarter around.
- 01
Assess
Source inventory, quality profiling and gap analysis against the use-case roadmap.
- 02
Build
Prioritised pipelines and quality gates delivered incrementally alongside the first use cases.
- 03
Sustain
Ownership handover, runbooks and ongoing quality reporting.
Common questions
Before you commit.
- Do we need a new platform?
- Rarely. We work within Databricks, Snowflake, BigQuery or your existing stack unless there is a hard reason not to.
- How much foundation before the first use case?
- Enough for one use case, then extend. We never sell a two-year platform programme ahead of any value.
Related practices
MLOps & AI Platform
CI/CD for models, observability, drift detection, rollback discipline and a self-service platform for your teams.
ViewCloud & Inference Infrastructure
GPU capacity planning, private model hosting, edge inference and FinOps for AI workloads.
ViewLegacy Modernisation
AI-assisted code understanding, migration and re-platforming for systems nobody wants to touch.
ViewTalk through data foundations.
A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.