Questions we hear first.

We are a Dutch engineering consultancy and a Databricks partner. We deliver project-based data platforms, AI engineering, IoT and computer vision, and custom web applications, from architecture through to handover.

In four stages: Assess, Prepare, Execute and Hand over. Each project has a defined scope, a named architecture and an agreed end state.

You do. Infrastructure and applications are code in your repositories, documented and handed over with knowledge transfer.

Yes. The Data & AI quick scan and the Databricks health check are short and fixed in scope, and each ends in a written result you can act on.

A named lead, who is also your point of contact, and dedicated engineers from our network in data, AI, cloud and software, matched to your project. Everyone follows the same delivery standards.

From the Netherlands, in the CET time zone, and available worldwide.

We respond within two working days.

With one concrete process, not a platform. The Data & AI quick scan takes 2 to 3 days: we map how data and documents flow today and rank the three use cases with the best value for effort.

The document automation pilot runs in your own Azure tenant. We keep to privacy by design: only the data a use case needs, EU regions for EU clients, and no production personal data in dev or test. We do not send client data to external AI services unless you agree in writing.

With a fixed evaluation set and agreed metrics. After release we monitor data drift, quality and cost, and we apply the same access, network and privacy rules to models, endpoints and vector indexes as to data.

No. We describe expected outcomes and quote results only from delivered case studies. Your result depends on your data and process, which is why we measure in a pilot.

No. Databricks is our deepest platform and we are a Databricks partner, but we also build on Azure services such as Event Hubs and Entra ID, and we build the applications and AI systems that use the data. We tell you honestly when another tool fits better.

Databricks on Azure. One platform for data engineering, analytics, machine learning and AI, governed in Unity Catalog, with Power BI and the rest of your Microsoft estate on top. Our references and credentials are all on Databricks.

Yes, that is what the Databricks health check is for: 3 days across cost, security with the Security Analysis Tool, governance with Unity Catalog and delivery with Asset Bundles and CI/CD, ending in a prioritised fix list.

Everything is code. We use our own Terraform modules and Databricks Asset Bundles, deploy only from pipelines, and promote changes from dev to test, acc and main.

By design, not afterwards. Access is deny by default and managed with Microsoft Entra ID groups. Privileged roles go through PIM for a limited time. Services use private endpoints, and secrets live in Azure Key Vault or are replaced by managed identities.

We collect only the data a use case needs, keep personal data in the agreed region, classify and protect sensitive columns, and define a retention period for each dataset. We use synthetic, masked or anonymised data in dev and test.

No. They are NexOps' own delivery standards, our point of view rather than a vendor requirement or a certification. If your standard is stricter, we follow yours.

NexOps is a Databricks partner. The team holds credentials issued by Databricks: certification exams, the Project Expert badge for three delivery tracks with their Delivery Expert training stages, and product and industry training. The full list is on the about page.

Every engagement is quoted after a first conversation, with a fixed scope where possible. Scope decides the price, so we do not publish prices.

A written scope with deliverables, duration, what we need from you and what is out of scope, and a quote against that scope.

No. The first conversation takes 30 minutes about your situation. You decide whether to start.

Mostly project-based, with a defined scope, a named architecture and an agreed end state. A fractional lead role runs for a few days a week instead. Every engagement is quoted after a first conversation.