Mantaq means logic
Marketing teams do not lack data. They lack the time to assemble it, and a reason to trust what comes back.
We built Mantaq so anyone on a team can ask a question in plain language, get an answer drawn from the accounts and documents they already work with, and see exactly how it was reached.
The answer is not the hard part
Any tool can produce a number. The question a team actually has is whether to act on it, and that needs the working, not just the result.
So Mantaq shows what it read, which figures it pulled and how it got from one to the other. If the reasoning does not hold, you can see that before it reaches a client.
The mark is the same shape: many inputs narrowing to one conclusion. That is what the word means.
Three things we decided early
Read-only unless there is a reason
The Google integration asks for read access and nothing more. Where an agent does need to act, it stops and asks first rather than assuming.
Show the working, always
An answer without its sources is a guess with confidence. Every answer carries what it was drawn from, so it can be checked rather than believed.
Your data is not training data
Nothing your team connects or writes is used to train, retrain or improve any AI model. It is there to answer your questions, and nothing else.
Questions before you connect anything?
Ask them. We would rather answer properly than have you guess from a website.