FAQS

FAQs

  • Why does Invacio have such a broad range of market segments it is targetting?

    Invacioā€™s divisions are a reflection of the high number of interconnected modules that make up the overall system. The way in which our data flows through and between multiple AI analysers simultaneously means that we can easily configure feeds to work with most types of data. We are not restricted to specific arenas.

  • How did you decide the commercial areas which you are currently aiming at?

    To be straight, we simply chose the areas in which we could see an immediate need for unrestricted data analysis. Financial markets pump out so much data it can be a strain on analyst teams to make headway. Similarly, keeping on top of global sentiment towards brands and marketing can be a nightmare, so those two segments went to the top of the list.

  • What exactly is Labs and what does it do for Invacio?

    Labs serves as both our break and accelerator. On the one hand, it is the division where we look at ways to expand our technology and reach into new areas and markets. On the other, it serves as our ethical sounding block where questions are raised in regards to the impact our technologies could have and how best to mitigate any risks.

  • Where do you see Invacio in the future?

    With such a broad range of industries and sectors that we could potentially move in to, it is quite hard to say. However, given that there is so much interest in and requirements for AI technology in the global security and governance sectors, we do see a strong possibility of various partnerships in those sectors.

  • Have Invacio answered the FUD on the internet?

    Yes, we've compiled a list here, in which we will continue to add to as and when FUD needs to be addressed.

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Invacio’s divisions are a reflection of the high number of interconnected modules that make up the overall system. The way in which our data flows through and between multiple AI analysers simultaneously means that we can easily configure feeds to work with most types of data. We are not restricted to specific arenas.

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