Model
Clean, tested transformations and agreed metric definitions.
AI & Automation
Data & Analytics Dashboards, pipelines and intelligence layers.
Data and analytics engineering turns raw, scattered data into decision-ready surfaces, real-time where it matters. We build pipelines, semantic models, and dashboards that your team actually reads, so decisions run on evidence instead of guesswork.
What's included
ELT Pipelines & Modelling
Clean, tested data transformations with dbt, and a warehouse model your whole team can trust.
Self-Serve Dashboards
Metabase dashboards non-analysts can actually use, metrics defined once, trusted everywhere.
Embedded Product Analytics
Real-time analytics surfaces built directly into your product, not a separate BI tool no one opens.
Data Quality & Monitoring
Automated tests and alerts on your pipelines, so a broken metric gets caught before a stakeholder sees it.
Applications
What data and analytics engineering unlocks.
Self-serve dashboards for every team. Metabase dashboards your ops, sales, and finance teams can actually query themselves, no SQL required and no waiting on an analyst.
Embedded product analytics. Ship usage dashboards and reporting as a feature inside your own application, not a separate tool your customers have to log into.
AI-assisted data exploration. Natural-language querying layered on top of your warehouse so non-technical teams can ask questions directly instead of filing a ticket.
Data quality monitoring. Automated checks that catch broken pipelines and bad data before they reach a dashboard someone makes a decision from.
Who it's for
Data-rich, insight-poor teams
You have the data, you just can't act on it.
Growth/RevOps leaders
Metrics defined once, trusted everywhere.
Product teams
Real-time analytics embedded where decisions happen.
Ready to build data & analytics?
Tell us what you're building. We'll come back with a scoped plan and a fixed first milestone.
Start a project
The stack
Tools we reach for.
Primary
SQL
Runtime
Metabase
Data
dbt
Ops
Recharts
How we work
01 02 03
A clear path from idea to production.
Surface
Dashboards and embedded analytics people trust.
Automate
Scheduled pipelines with quality tests and alerts.
Outcomes
What "done" looks like.
Metrics agreed onceFast outcome
Freshness SLAs metMeasured outcome
Self-serve for non-analystsProven outcome
FAQ
Data & Analytics, answered.
Where does the data live?
In your warehouse (BigQuery, Snowflake, Postgres), you own it; we build the modelling and reporting layer on top.
Real-time or batch?
Whichever the decision needs, we use real-time where latency matters and batch where it doesn't, to control cost.
Can you embed analytics in our product?
Yes, we build customer-facing dashboards and metrics directly into your app surfaces.
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