Question 1

Do you offer one-time projects and ongoing advisory?

Accepted Answer

Yes. Fixed-scope projects with an agreed outcome, and ongoing advisory on a day rate or a monthly retainer. The four ways of working are set out on the How we work page.

Question 2

Which technologies do you work with?

Accepted Answer

Cloud: AWS, Azure and Google Cloud. Data platforms: Snowflake, Databricks, BigQuery and Microsoft Fabric. Engineering: dbt, Airflow, PySpark, Python, Terraform, Docker and Kubernetes, with CI/CD on everything we ship.

Question 3

Can you train our team during an implementation?

Accepted Answer

Yes. Pairing, code review and architecture walkthroughs happen during the build, so your engineers learn the platform as it takes shape. We also run structured training as an engagement of its own.

Question 4

How do you handle documentation and knowledge transfer?

Accepted Answer

Documentation is part of the deliverable, not an extra. You get architecture decisions, runbooks and diagrams, reviewed with your team as we go, and a handover that is scheduled with an owner and a date.

Question 5

Can you work with our existing tools and infrastructure?

Accepted Answer

Yes. We start from what you already run and pay for. We extend or fix existing systems where that is sensible, and recommend replacing something only when we can show why.

Question 6

How do you approach security and compliance?

Accepted Answer

We work with least-privilege access, in your environment, and define infrastructure as code so that changes are reviewed and repeatable. Access control, masking and audit trails are designed in from the start. If you work under a specific compliance regime, tell us at the outset and we will design to it.

Question 7

What does a typical engagement process involve?

Accepted Answer

Four stages: discovery, architecture and planning, an iterative build, then operation and handover. Each stage ends with something you can inspect, such as a written assessment, a target architecture or working pipelines in your environment.

Question 8

How do you manage changes in scope or priorities?

Accepted Answer

Changes are raised as soon as they appear. We tell you what a change does to cost and dates before any work starts on it, and you decide whether it goes in, waits, or replaces something else.

Question 9

What size of team can you support?

Accepted Answer

Small ones. We are a small senior team, and every engagement is staffed by senior engineers. If you need a large team across many workstreams at once, a large integrator will suit you better.

Question 10

Where are you based, and how do you collaborate?

Accepted Answer

We are based in Bengaluru, India, and work remote-first with clients across time zones. Our working hours overlap with European and US East Coast mornings. On-site work is possible when it is agreed in advance.

Question 11

How do you support long-term maintainability?

Accepted Answer

By building for the engineer who inherits the platform: clear layering, modular code, automated tests, CI/CD, monitoring, and documentation that explains why decisions were made.

Question 12

What makes Cybernate different from other consultancies?

Accepted Answer

We do one thing: cloud data platforms and the AI that runs on them. Every engagement is staffed by senior engineers only, documentation is part of the deliverable, and the handover has a date on it.

Question 13

How do we get started?

Accepted Answer

Send us a short description of your setup and what is going wrong. An engineer replies within one working day, we have a 30 to 60 minute call, and you get a short written summary of what we would suggest. There is no obligation to go further.

Question 14

How are your engagements priced?

Accepted Answer

It depends on the way of working. Project delivery is a fixed price per phase, an embedded engineer is monthly, advisory is a day rate or a monthly retainer, and team enablement is a fixed price per cohort.

Question 15

Do you provide support after launch?

Accepted Answer

Yes, if you want it. After handover we can stay on under an advisory arrangement for monitoring, tuning and changes. The aim is still that your team can run the platform without us.

Question 16

Can you review our architecture before implementation begins?

Accepted Answer

Yes. An architecture review looks at your current or proposed design, lists the risks and bottlenecks we see, and gives written recommendations. It can be a standalone piece of work.

Question 17

Do you build AI and machine learning systems?

Accepted Answer

We build the data foundation AI depends on: governed, tested pipelines, feature and training datasets, and the access controls AI workloads need. We work alongside your data science team or your AI vendor rather than replacing them. Most AI projects that stall, stall on data quality and access rather than on models, and that is the part we solve.

Question 18

How much does an engagement cost?

Accepted Answer

A platform assessment takes two to three weeks. A first production platform build usually runs three to four months, depending on the number of source systems and how much legacy logic has to be preserved. Ongoing advisory is a monthly retainer. We give a fixed number after the discovery conversation, not before.

Question 19

Who owns the code and the intellectual property?

Accepted Answer

You do. All code, infrastructure definitions and documentation we produce during an engagement belong to you, in your repositories, from the first commit. We do not retain licences over anything we build for you.

Question 20

How do you handle access to our data and systems?

Accepted Answer

We work under your NDA and to your access policy. Wherever possible we work in your environment with least-privilege access, on non-production data during development. We do not copy client data to our own infrastructure. We are happy to complete your vendor security assessment before any access is granted.

Question 21

Do you work in our cloud account or yours?

Accepted Answer

Yours. We build in your cloud account, with your tools and under your access rules. Nothing we build for you runs in an account we own.

Question 22

What happens to our data?

Accepted Answer

It stays in your account. We do not copy it out into our own systems. We do not send it to a model hosted outside your own cloud account.

Question 23

Can you sign our NDA and DPA?

Accepted Answer

Yes. We sign your NDA and your data processing agreement before any access is granted.

Question 24

What if our data is not ready for AI yet?

Accepted Answer

Then the assessment will say so, in writing, before you commit to a build. No is a real possible answer. When it is, you get a written list of what has to change first. You can fix it with us, fix it on your own, or stop there.

Question 25

How quickly can you start?

Accepted Answer

A discovery conversation can happen within a few days. Because every engagement is staffed by senior engineers only, we take on a limited number at a time, which sometimes means a short wait, and always means you get senior attention when we do start.

Question 26

We already have a data team. Where do you fit?

Accepted Answer

Most often as senior capacity your team does not have, or as an outside check on architecture before a large commitment. We work inside your repositories, your standards and your review process. The measure of success is that your team is more capable when we leave, not more dependent.

Clear answers to common questions.

Straight answers to the questions that matter.