Questions, answered.

DataDack is an AI IT company that runs on your cloud. You say what the business needs. An AI CTO decides what to build, an AI engineer builds it, and an AI ops team ships it and keeps it running. They only go as far as you allow. The main website is datadack.com.

datadack.si is a second website for the same company, written in shorter sentences so the idea is easy to see. It is not a company in Slovenia. DataDack is based in Chandigarh, India. The main website is datadack.com, and the cloud is at datadack.cloud.

The AI IT agents, governance platform and AI Calling Agent for Sales Automation are coming soon. Marketing Automation is a separate part of the roadmap and is planned for later. Join the waitlist and we will contact you when early access opens.

Sales Automation starts with the AI Calling Agent: it can handle approved inbound and outbound calls, hand a conversation to a person when needed, and keep a record your team can review. It is planned as a separate segment from the AI IT team.

Marketing Automation is on the roadmap for a later stage, after the core AI IT and Sales Automation products. Join the waitlist to hear when plans develop.

Only if you allow it. You set an autonomy level - from observe-only to fully autonomous - for each kind of decision and each environment. Anything that cannot be undone, like deleting data or changing access, always needs a person.

No. Permissions come from the settings you control, not from anything an agent reads. Text in a log, a file or a web page cannot raise what an agent is allowed to do.

No. Your code, data and logs are never used for training.

We use the right model for each job rather than the biggest one for everything, and every plan comes with clear limits - so cost stays predictable and agents can never spend past the budget you set.

Yes. The engineer works in your code repositories, approvals arrive where your team already talks, and the architect starts by reviewing what you already run.