Novaris partners with industry leaders to design, build, and operate modern data platforms — from ingestion pipelines to predictive AI that drives real business value.
We embed alongside your teams, combining deep data engineering craft with industry context so every project ships measurable impact.
Senior practitioners write the code. No hand-offs to junior teams, no slide-only consulting.
We've shipped in healthcare, finance, retail, and manufacturing — so we speak your domain on day one.
Every engagement is scoped around a metric — cost saved, latency cut, model lift, revenue unlocked.
HIPAA, SOC 2, GDPR aware. We build data trust into the platform, not bolted on after launch.
AWS, Azure, GCP, Snowflake, Databricks — we work natively in your stack, never against it.
From discovery to managed ops. Most of our clients stay with us beyond their first project.
From the first event captured to the last decision made — we cover the full data lifecycle.
Modern pipelines, lakehouses, and streaming systems built to scale and stay reliable.
Learn moreSelf-serve dashboards, semantic layers, and executive reporting your team will actually use.
Learn morePredictive models, recommendation systems, and generative AI moved from notebook to production.
Learn moreCloud migrations, data platform architecture, and infrastructure-as-code that scales with you.
Learn moreCatalogs, lineage, quality, and access controls so your data is trusted enterprise-wide.
Learn moreRoadmaps that align data investments to business outcomes and executive priorities.
Learn moreFrom SQL Server and Excel to Snowflake and dimensional modelling, we work across the toolchain your team already uses.
Our delivery model is built around small senior teams, short feedback cycles, and a working artifact at every stage.
We map your data landscape, identify the high-value use cases, and define the metric we're solving for.
Architecture diagrams, data contracts, and a build plan you can review before the first line of code is written.
Two-week increments. Working software in your environment, demoed live, with tests and observability from day one.
We hand off — or stay on as managed ops. Either way, every system we build is documented, monitored, and rehearsed for failure.
We've shipped production data systems across regulated, high-stakes, and high-volume industries.
A few words from the data, engineering, and product leaders we've worked alongside.
Novaris rebuilt our claims pipeline in twelve weeks. Latency dropped from hours to under three minutes, and our actuarial team finally trusts the numbers. The team felt like our own engineers — not a vendor.
We went from spreadsheets to a working Snowflake + dbt stack with self-serve dashboards in one quarter. Novaris didn't just deliver — they trained our analysts to own it after they left.
Their ML team productionized our churn model and built the monitoring around it. Six months in, the model is still inside its drift envelope and saving roughly $1.4M a quarter in retained revenue.