Platforms, pipelines, analytics, and governance.
We make the numbers a business runs on clean, current, and trusted. The plumbing underneath, the analytics on top, and the governance that keeps it all honest.
The plain version of the Data practice.
Most companies do not have a data problem so much as a trust problem: numbers that disagree, reports that take days, and access nobody can fully account for. We build the platform, the pipelines, and the governance so the business runs on one trusted source, and so the data is ready for the practical AI that comes next.
Outcomes
What you should be able to point to when the work is done.
- One trusted source for the numbers, not five that disagree
- Faster answers for the people who need them
- Governance that satisfies an auditor without slowing the team
The sub-services in the Data practice.
One team covers the whole set. You do not need all of it to start, and the parts work together when you do.
Data platform and architecture
Warehouse or lakehouse foundations sized for how you actually work.
Pipelines and integration
Reliable, observable pipelines that keep data current across your systems.
Analytics and BI
Reporting and self-serve dashboards people trust and actually use.
Governance and quality
Ownership, lineage, and quality checks that satisfy an auditor without slowing the team.
Master and reference data
One agreed definition of the entities the business depends on.
AI-ready foundations
The clean, governed data that makes machine learning and generative AI reliable.
How we deliver.
A short, reversible path from a costed plan to a system your own team can run.
- 01
Map the sources and the questions the business needs answered.
- 02
Build the platform and pipelines for reliability and lineage from day one.
- 03
Layer analytics and access on top, governed by clear ownership.
- 04
Operate and improve, so the numbers stay current and trusted.
Fluent across your stack.
We pick the right tool for the job and stay fluent across the ones here. If your stack is not listed, we have almost certainly worked with something close.
The full ecosystemCommon tools, not the limit
Data in the real world.
Selected engagements where the Data practice carried the work. Each number carries its source.
A governed clinical data platform that passed audit with zero critical findings
Meridian wanted to unify clinical and operational data for new patient-facing features, without putting protected health information at risk.
Turning support tickets into answers, and cutting resolution time 41%
Halcyon's support team was drowning in tickets. We built a practical AI assistant on their own data, governed and measurable.
Cutting a logistics platform's cloud bill 34% while improving on-time tracking
Northwind ran a fast-growing freight tracking platform on infrastructure that had outgrown its design. Synabix replatformed it and put a real cost habit in place.
About the Data practice.
Do we need a warehouse or a lakehouse?
Can you fix our existing pipelines instead of replacing them?
How does governance avoid slowing us down?
Stronger together than apart.
Each practice is strong on its own. Under one bill and one point of accountability, they replace a sprawl of specialist vendors.
Migration, delivery automation, reliability, and cost control on any platform.
Practical AI and machine learning, pointed at real outcomes.
Cybersecurity, identity, compliance, and audit readiness.
Custom application development and modernization.
Let us take Data off your plate.
One team, one bill, one point of accountability across cloud, data, AI, security, and software. Tell us where you are, and we will map a pragmatic next step.
Prefer email? Write to sales@synabix.com. We reply within one business day.