Pipelines and ingestion
Scheduled and event driven pipelines that move documents, records and events into the places your AI systems read from, with checks for gaps and duplicates.
Data and infrastructure
Pipelines, governance and evaluation harnesses that keep model output accurate, auditable and predictable on cost.
Best for
- Businesses whose data sits in disconnected systems
- Teams preparing for scale beyond a pilot
- Anyone who needs audit ready lineage and access records
- Live
- Quality and cost dashboards
- Daily
- Data freshness on core sources
- Tracked
- Cost per interaction by use case
What it is
The layer that decides whether AI works.
AI systems are only as good as the data and plumbing beneath them. This work covers the unglamorous layer: where data comes from, how fresh it is, who can see it and how you prove the system is still working.
We build the minimum reliable infrastructure for the use cases in play, on the platforms you already run, rather than introducing a new stack to maintain.
What we do
The work, item by item.
Each engagement covers the same four areas, weighted to where your risk and value actually sit.
Access and lineage
Permissions, retention and lineage so you can answer who saw what, where a value came from and how long it is kept.
Evaluation harnesses
Repeatable test sets and scoring that run on every change, turning quality from an opinion into a number you track over time.
Cost and performance
Caching, model routing and right sizing so spend per interaction is visible, forecastable and inside your budget.
How we implement
The steps, and what you get at each one.
Fixed deliverables, agreed durations and a decision point at the end of every step.
- 01
Assess
1 week
We review your current platforms, data flows and access model, then agree what has to change for the use cases in scope.
Deliverables
- Current state review
- Gap and risk list
- Target architecture sketch
- 02
Build
4 to 8 weeks
Pipelines, permissions and evaluation are built alongside the application, tested against real volumes rather than tidy samples.
Deliverables
- Data pipelines
- Access and lineage controls
- Evaluation harness
- 03
Operate
ongoing
Dashboards, alerting and a quarterly review of cost and quality, so drift is caught before it reaches users.
Deliverables
- Quality and cost dashboards
- Alerting and runbooks
- Quarterly review
Related
Often paired with.
Next step
Talk it through with the team who would do the work.
A 30 minute call on data & infrastructure, what it would take in your business, and whether it is worth doing at all.