Where human and artificial become the strongest intelligence
KAPTO aims to completely automatise document categorisation, information extraction, and concept matching processes. However, with everything else made by humans, even KAPTO is (still) not omniscient and can even be wrong (this happens only sometimes). Because of this, KAPTO can go back to human help directly by asking for direct support or indirectly by absorbing external knowledge and integrating it. Knowledge integration happens both during the task performance and outside the execution loop, incorporating it into KAPTO's ecosystem of artificial intelligence models.
Human intervention within KAPTO's workflow is frictionless.
KAPTO does not have a Terminator-style attitude toward humans. On the contrary, it loves the human touch but does not like to abuse it, as its ultimate goal is to relieve humans of repetitive deskwork. Because of that, KAPTO tries to regulate human intervention by defining specific, customisable rules. In addition to imposed business rules, KAPTO can ask for a human in the loop because of self-assessment of the accuracy of the cognitive task it's asked to perform. When KAPTO feels a lack of confidence in its understanding, it places the workload in a Verification state, warns the user and awaits feedback or correction from a human expert through a specific, easy-to-use user interface.
Humans and other external validation sources
Unlike other software that uses validation sources or human help to deliver the correct answer once, KAPTO uses human or external sources of truth to better shape itself. Means validation input is continuously employed by the KAPTO's artificial intelligence ecosystem to incrementally or, when needed, fully trainor retrain itself.
Unlike many competitors, through human help and automatic validation, KAPTO improves constantly.
