Built on
Fixed-scope data engineering for teams who value clarity over committee-driven procurement.
Begin with a conversationTraditional consultancies sell you months of discovery, bloated proposals, and key-person dependencies. We replaced that model with productized packages built from 50+ engagements — scoped in days, delivered in weeks, owned by your team from day one.
Hourly billing turns a £30k project into £90k before you see a dashboard.
Endless requirements gathering and committee approvals delay value by quarters.
Everything runs through one senior engineer. When they leave, it’s a mystery.
Leadership makes gut-feel decisions because the platform won’t be ready for 6 months.
One focused engagement. One coherent architecture. Not isolated engineering tasks—a production-ready data platform.
Build a reliable, scalable data platform ready for analytics and AI use cases.
Your data becomes trustworthy and usable across the business.
We own the reliability, performance, cost optimisation, and ongoing evolution of your data platform after it’s built.
For smaller teams
For scaling companies
For serious scaleups
30-minute call to diagnose your challenges and recommend the right package.
We audit your stack and send a fixed-price proposal within 48 hours.
Weekly demos using proven templates. You see working results early.
Full handover with docs, training, and 30 days of post-launch support.
“We’d been quoted 6 months and £120k. Neo Analytica delivered our pipeline migration in 5 weeks at a fraction of the cost.”
“The productized approach was exactly what we needed. Working data platform in weeks, not months of architecture debates.”
“Zero vendor lock-in. After handover, my team owned everything and maintained it independently.”
Built from 200+ client audits where we consistently find 35–60% of data infrastructure spend is wasted. Covers real cost benchmarks, fillable scoring matrices, and battle-tested stack patterns.
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What’s inside
Most fit with minor adjustments. For unique needs, we do custom scoping — still fixed price.
AWS, GCP, and Azure. Templates are cloud-agnostic at the logic layer, optimized per platform.
30 days post-launch support, full documentation, and training. Optional retainers available.
We use battle-tested templates from 50+ projects. Faster, fewer bugs, a team not a single point of failure.
Both. Our productized model makes enterprise-grade data engineering accessible to Series A+ startups.
£8,000 to £35,000. Every penny scoped upfront — no surprises.
A 30-minute conversation to understand your stack, your constraints, and whether our approach makes sense. No pitch deck. No commitment.
Book a conversation