Data Analytics
From raw events to revenue-driving decisionsEnd-to-end data analytics — event instrumentation, ETL pipelines, data warehouse modelling, and statistical analysis — delivering insight pipelines your team can trust.
What you get
Every engagement is designed around clear business outcomes — not just technical deliverables.
Solid Foundation
A clean, documented data model that won't collapse when business logic changes.
Fast Time-to-Insight
Optimised queries and materialised views mean answers in seconds, not minutes.
Data Quality
dbt tests and Great Expectations checks run on every pipeline refresh automatically.
Privacy Compliant
PII masking, data retention policies, and audit trails built into the pipeline.
Built Different. Delivered Different.
We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.
10+ Years of Production AI
We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.
Results-Driven, Not Hours-Driven
We measure success by your business outcomes: reduced costs, more revenue, faster operations.
Deep Technical Depth
Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.
Radical Transparency
We tell you when AI is not the right answer. Our goal is your success — not our revenue.
How we work
A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.
Instrumentation Audit
Review what events are tracked, identify gaps, and implement fixes in your product.
Warehouse Design
Design a star or snowflake schema in BigQuery, Snowflake, or Redshift.
Pipeline Build
Reliable ELT with Airbyte + dbt or Fivetran + dbt that runs unattended.
Analysis Layer
Semantic layer and BI connection so analysts work with business terms, not SQL.
Insights & Reporting
Automated weekly insight digests delivered to Slack or email.
Our tech stack
We pick the best tool for the job — not the one we happen to know. Here is what powers our Data Analytics engagements.
Warehouses
Pipeline Tools
Analysis
BI Layer
Typical projects
From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.
Choose how we work together
No one-size-fits-all pricing. We adapt to your project type, team size, and budget.
Fixed-Price Project
Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.
- Detailed scope document
- Fixed-cost proposal
- Milestone-based payments
- 30-day post-launch support
Ideal for: Defined projects with clear requirements
Monthly Retainer
Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.
- Dedicated senior engineer hours
- Weekly strategy calls
- Priority support SLA
- Monthly roadmap reviews
Ideal for: Growing SaaS and product companies
Team Augmentation
Dedicated engineers embedded in your team — same timezone, same tools, same Slack.
- Full-time dedicated engineers
- Direct Slack/Teams access
- Embedded sprint participation
- Knowledge transfer sessions
Ideal for: Enterprises scaling their tech teams
Common questions
Still have questions? Ask us directly →
We have data in spreadsheets — can you work with that?
Yes — we ingest spreadsheets as a starting point and migrate you to a proper warehouse incrementally.
How often will the pipeline refresh?
Typically hourly or daily, depending on data volume and cost tolerance. Near-real-time is available.
Do we need a dedicated data engineer?
No — we build pipelines designed for low-maintenance operation, with runbooks for your team.
Let's build something
extraordinary together.
Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.