Your data should be an asset. Right now it's probably a liability.
We design and build the data infrastructure your business actually runs on — clean pipelines, reliable analytics and AI-powered intelligence layers that your team can trust and act on.
Most companies have more data than they know what to do with.
The problem isn't access to data. It's that the data isn't clean, connected or fast enough to actually drive decisions.
Here are some typical painful scenarios:
Your team spends hours every week pulling, cleaning and reformatting data that should already be ready to use.
Dashboards exist, but nobody fully trusts the numbers in them.
You've built automations, but without clean data underneath, they keep breaking.
Data lives in silos — product, finance, ops and marketing are all working from different versions of the truth.
You know what questions you want to answer. You just can't get to the data fast enough to answer them.
Three layers. One connected system.
Data Engineering
01
Clean, reliable pipelines that move your data from source to destination, structured, validated and ready for analysis.
Pipeline design & build
Data ingestion & transformation
Schema design & database architecture
API integrations & webhook systems
Deduplication & data quality rules
Analytics
02
Intelligence built from your own numbers, not generic reports, but analysis designed around the questions your business is actually asking.
KPI framework design
Dashboard build & deployment
Automated reporting pipelines
Cross-system data unification
Growth & retention analytics
AI & Automation
03
Systems that act on your data automatically, so your team spends less time managing information and more time using it
AI-powered intelligence layers
Automated reporting & alerting
Workflow automation design
LLM integration into internal systems
Custom AI assistant builds
Built for companies where data quality directly affects revenue.
SaaS Companies
You need to understand your product data as well as you understand your product.
Subscription metrics, retention curves, feature adoption, revenue attribution, we build the pipelines and analytics infrastructure that makes this data clean, fast and actionable for your team
Your business has outgrown spreadsheets. The data infrastructure hasn't kept up.
Growing Operation Companies
We audit your current data setup, identify where manual processes are creating risk, and build automated systems that scale with your team, without adding headcount.
From audit to handover, a project-based engagement designed for your team to own what we build.
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We map your current data sources, pipelines and gaps. Free, no obligation. You leave with a clear picture of what's broken and what it would take to fix it — whether you work with us or not.
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We design the full system, data model, pipeline architecture, analytics layer and any AI components before writing a single line of code. You review and approve the design before we build.
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We build in phases, with working deliverables at each stage. No disappearing for months and returning with a black box. You see progress, test early, and flag changes before they compound.
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Full handover package, architecture diagrams, credentials, workflow documentation and training. Your team can maintain and extend what we build without depending on us. That's the goal.
Work that speaks for itself.
SaaS
End-to-End Data Pipeline & Analytics Infrastructure - Taoist Wellness (United Kingdom)
A SaaS company scaling its subscriber base needed full visibility into growth, retention and revenue, but their data was fragmented across three systems with no single source of truth. We designed and built the complete data infrastructure: ingestion pipelines, a unified data model, automated reporting and an analytics layer their C Suite and Marketing team could work from independently.
Common questions
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We work with what you have wherever possible. We design around your existing tools, databases, BI platforms, cloud infrastructure and only recommend replacements when something is genuinely holding you back and there's a clear case for switching.
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Project engagements are scoped and priced after the discovery call. We don't publish project rates because every build is different. Scope, complexity and timeline all affect cost. The discovery call is free and gives you a clear picture of what's involved before any commitment.
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Most engagements run between 4 and 12 weeks depending on scope. We break work into phases with deliverables at each stage, so you're not waiting until the end to see results.
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Yes, that's a design requirement, not an afterthought. Every project includes full documentation, architecture diagrams and a handover session. We build for your team to own, not for ongoing dependency on us.
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Yes. We offer optional retainer arrangements for monitoring, maintenance and iterative improvements after handover. This is discussed during scoping so you can plan for it from the start.
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Yes. We work with clients remotely. Discovery calls, design reviews and handovers are all conducted online. For larger engagements, on-site sessions can be arranged.
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That's exactly what the discovery call is for. You don't need a brief or a spec, just a description of the problem you're trying to solve. We'll help you work out what the right solution looks like.
Let's map your data problem. For free.
Book a free 30-minute discovery call. We'll audit your current setup, identify where data quality is costing your team time or accuracy, and tell you exactly what a solution would look like.