Conversations are increasingly digital. We are more connected than ever, yet there is a growing, tangible disconnect. In some ways, it seems more difficult than ever to recognize and remember the importance of thoughtful, well-researched discourse, free of misinformation.
Misinformation and misunderstandings often…
Begin unintentionally,
propagate quickly,
and cause harm.
Huna will help prevent this!
Written communications need to be precise because the recipient is limited to interpret only what is typed & transmitted.
Unlike face-to-face conversation, digital conversation lacks the human mechanisms for clarification of intent. With any ambiguity arises the potential for misunderstanding, from simple disconnects, to costly errors, to hurt feelings.
The world has changed, more people are working remotely, and must write responses in isolation.
.
This separation means it is more difficult to individually remember more facts or be aware of more relevant information when writing in this new environment. Wrong errors are costly for people and organizations.
Our digital expert counsel is designed to give you:
We believe in winning back thoughtful discourse by using technology to aid the individual with expertise at their fingertips to make conversation more effortlessly truthful.
Our parent company, Pueo, was founded by Senior Executive Service members who identified and addressed the deep need to prioritize human relationships above institutional ones. It is this focus on family and community that sparked the development of the patented technology that drives HUNA.
Pueo’s Service Objective is to provide mentorship, tuition, and training to assist members of disadvantaged communities in achieving careers in National Security.
Huna’s prioritization algorithm is being developed by Abiobot and Pueo engineers.
Abiobot is a company dedicated to automation scientific processes and was co-founded by Raghu Machiraju. Raghu additionally serves both as a Professor of Computer Science and Engineering at The Ohio State University and as a Principal Data Scientist at the Translational Data Analytics Institute on campus. He is architecting a framework that will allow Huna’s prioritization algorithms to (I) find the most worthy information and create informative libraries and (II) retrieve and present information of greatest relevance to a user for a given task-at-hand.
