About Totusphere
One team for the whole of your data and AI
Totus is Latin for whole. Too many data and AI programs stall in the gaps between strategy consultants, platform vendors and delivery teams. Totusphere exists to close those gaps.
We take responsibility for every layer, from the first pipeline to the AI agent at the end of it.
Our engineers design, build and run data platforms and AI systems for organizations that need them to work reliably, not just in a demo. That means tested pipelines, governed data, measured models and clear documentation.
We modernize legacy ETL and big data platforms, build lakehouses on the major clouds, and put machine learning and generative AI into production with the controls regulators expect.
We stay vendor-neutral, start with a small, valuable use case, and leave your team able to own what we build together.
What makes us different
How we compare
| Area | Typical approach | Totusphere |
|---|---|---|
| Strategy | Recommendations handed to another team to build | Advice from the engineers who will build it |
| Platforms | Tied to a vendor or reseller target | Vendor-neutral, chosen on evidence |
| Migration | Big-bang cutovers and weekend outages | Planned waves, parallel runs, reconciled numbers |
| Quality | Testing and governance as a later phase | Tests, lineage and security built in from sprint one |
| Handover | Dependence on the consultancy | Documentation, pairing and training so you own it |
Why Totusphere
How we work with you
Engineering first
Advice from people who build. Every recommendation comes with a realistic path to production and the code to prove it.
Vendor-neutral
We work across Databricks, Snowflake, Microsoft, Google and AWS, and recommend what fits your needs, not a reseller target.
Governance built in
Quality tests, lineage, access control and responsible AI practices are part of the build, not a later phase.
Your team owns it
Documentation, pairing and training throughout, so your engineers can run and extend what we build together.
Who we work with
Built for the people accountable for data
CIOs and CTOs
A partner who can take accountability from strategy to production.
Chief data officers
Governed, trusted data that the business actually uses.
Heads of data and analytics
Senior engineering capacity and modern platform patterns.
Product and operations leaders
AI and analytics that improve a specific process, measurably.
Engagement model
From first conversation to production
We start small and prove value early. Every phase ends with working software and a clear decision about what comes next.
Discover
2–4 weeksWorkshops, a review of your data estate and a prioritized list of opportunities with clear value cases.
Pilot
6–10 weeksOne high-value use case built on production-grade foundations, measured against an agreed business metric.
Scale
OngoingExtend the platform to more teams and use cases, with templates and guardrails that keep quality high.
Run
OptionalWe operate and improve the platform with you, or hand over fully with documentation and training.
Tell us where your data is today.
A 45-minute conversation with a senior engineer. You leave with an honest view of what to build first, whether or not we work together.