clean, governed data your agents can trust.
We build the pipelines, warehouses, and governance that turn scattered data into a reliable foundation for analytics, for decisions, and for the AI agents that depend on it.
Agents need clean, governed,
accessible data.
Most don’t have it yet.
We build the pipelines, models, and governance that make your data trustworthy, then keep it that way as it scales.
what we deliver.
Data pipelines & ELT/ETL: batch and streaming, from source systems to a governed warehouse.
Lakehouse & warehouse architecture: modelled, documented, and query-ready.
Data governance & quality: lineage, testing, and observability you can audit.
Analytics & BI: metrics layers and dashboards your teams actually use.
Vector & feature stores: the retrieval and feature infrastructure that powers RAG and ML.
the stack.
headline technologiesshow full stackhide full stack
the agentic sdlc.
AI agents do the volume work. Humans set direction, resolve trade-offs, sign off at every gate, and own merges and releases. Every phase produces a named artefact; every gate is owned by a named human.
discover
Interview + validate spec
produces
spec.md + acceptance/*.feature
PM/BA confirms the spec
design
Architecture, ADRs, UX
produces
system-design.md, ADRs, ux-spec.md
Senior Developer approves
plan
Task-level breakdown
produces
plan.md + progress.md, coverage map
Senior Developer signs the plan
build
Subagent-driven TDD + e2e wiring
produces
code + tests, 1 commit/task + e2e wiring
Orchestrator confirms suite green, no blocked tasks
review
Multi-layer verification
produces
review-report.md, approved PR
Senior Developer is final approver
ship
Deploy, observe, retro
produces
merged PR, harness edits
Product Owner accepts the outcome
discover
Interview + validate spec
produces
spec.md + acceptance/*.feature
PM/BA confirms the spec
design
Architecture, ADRs, UX
produces
system-design.md, ADRs, ux-spec.md
Senior Developer approves
plan
Task-level breakdown
produces
plan.md + progress.md, coverage map
Senior Developer signs the plan
build
Subagent-driven TDD + e2e wiring
produces
code + tests, 1 commit/task + e2e wiring
Orchestrator confirms suite green, no blocked tasks
review
Multi-layer verification
produces
review-report.md, approved PR
Senior Developer is final approver
ship
Deploy, observe, retro
produces
merged PR, harness edits
Product Owner accepts the outcome
Six phases, six gates. Each phase produces a tangible artefact. Each transition is a gate owned by a named human. AI drafts, humans decide.
One source of truth, trusted enough to build on.
We consolidated operational data from legacy and modern systems into a governed Azure SQL warehouse, rebuilt the ADF pipelines that feed it, and delivered a shared model now used for Power BI reporting.
how we engage.
free proof of concept
We build a working agent or integration against your real use case. No cost, no commitment. You evaluate outcomes, not slideware.
milestone-based delivery
Production build-out priced against agreed milestones and success criteria. You pay for results.
Longer horizon? Dedicated teams: long-term product engineering and AI enablement capacity, embedded with your organization.
start with an hour.
A discovery call, then a free proof of concept. You evaluate outcomes, not slideware.