01
Human in the lead
Data platforms and AI that serve your goals.
We design architecture, build pipelines and integrate AI workflows. Your team sets the direction. We agree the scope and delivery approach around the work.
- Your team sets direction
Goals, limits and acceptance criteria
- Coordinator delegates scoped work
Selected tools, agreed access and budget
- Pipeline
- Checks
- Docs
- Your team reviews the results
Approve significant changes and decide what follows
We build on
- Google Cloud
- AWS
- Azure
- Databricks
- Snowflake
- dbt
- On-premises
- Hybrid
What we do
From architecture to implementation.
02
Applied & agentic AI
How we work
You set the direction.
Human direction
You set priorities and decide which actions to delegate. Significant changes come back for review.
Enforced operating limits
We configure access, approval points and spend controls for the systems in scope.
Maintainable delivery
Versioned workflows, tests and runbooks help your engineers operate and extend the work.
Your data lead · sets the scope
Compare these orders with the source. Report discrepancies; make no changes.
Agent · prepares the evidence
Discrepancy report ready, with source values and proposed corrections. No data has changed.
Your data lead · reviews the proposal
I checked the report against the source. Apply the listed corrections in staging; keep production unchanged.
Agent · returns the result
Staging updated. The reconciliation results and decision record are ready for your review.
Typical outputs, selected to match the scope
Evaluation criteria and reports
Agreed measures for reviewing AI responses and comparing changes.
Reconciliation checks
Source-to-target comparisons that surface discrepancies for investigation.
Cost monitoring and limits
Spend visibility, alerts and supported controls for the agreed workload.
How we decide
Decisions that age well.
Deterministic where it must be, agentic where it pays.
Security classifications
Classification decides what people and agents may touch, and where data is processed. It is agreed before work begins.
- PublicCloud servicesCleared agents
- InternalCloud servicesApproved agents
- ConfidentialApproved environmentsNamed agents, with review
- RestrictedOn-premisesLocal agents onlycloud agent not cleared
Reuse, buy, build
Reuse what you already have, buy where the market is mature, build only where it sets you apart.
- ReuseYour framework already handles this kind of source: extend it with configuration.
- BuyMature products exist: integrate one and spend the effort on adoption.
- BuildIt encodes how your organisation decides: that is where custom work pays.
Future-compatible
Interfaces and declared workflows outlive any one model, vendor or location.
Declared workflowSame workflow, tests and data contracts
runs onCloudOn-premises
usesModel AModel B
Working together
Choose an engagement.
Engagements can be founder-led, supported by specialist partners, or delivered by a dedicated engineering team. We agree responsibilities and scope before work begins.
Platform assessment
An outside view of your platform and where it should go next.
Focused implementation
One defined pipeline, migration or AI workflow, built and handed over.
Embedded engineering
Engineers working inside your team on delivery and standards.
Industries
Experience across industries.
- Banking
- Insurance
- Fintech
- Biotechnology
- Manufacturing
- Consulting
- Retail
What would you like to improve?
Tell us the goal, the current setup and the constraints. We can work out the next step together.