EnderTuring - AI powered Mentor for early-stage startups

The problem your project solves

Not each startupper, especially on early-stage has access to mentor which can guide him and help with knowledge. That is why the failure rate of early startups is so high (>90%). We aim to decrease the startup failure rate by 4%-7%. Also, we as potential founders were in trouble founding relevant information regarding the current stage of a startup. On the internet there are millions of tons of materials and the founder can easily get lost in it.

The solution you bring to the table (including technical details, architecture, tools used)

We are going to give each startupper and potential startupper access to a personalized automated mentor to improve the chances of success. We focus on 2 things: a) raising quality + relevance compared to google searches, and b) making it easier to acquire needed skills in relevant phases/stages (special thanks to mentors to help unhide this) We are helping people to start companies and get off the ground in pre-startup and early startup stages and gain qualitative momentum by:

making it easier to acquire most relevant to the current startup stage/phase skills and knowledge
guiding through early stages flow
raising quality and relevance compared to search engines

What we have done

We developed MPV with access to knowledge acquiring assistant with all materials we have gathered (for domain Startups and Agile/Digital transformations) and already published it within the internet for FREE (www.enderturing.com). Around 5K materials with depth analysis of more than 200K sentences to provide accurate answers and recommend relevant materials to the founder.

The solution’s impact to the crisis

Too boost the economy after COVID we decided to focus on startups and founders. Increase the number and quality of startups in the ecosystem.

The necessities in order to continue the project

Distribution through governmental divisions that might be interested in service: startup ecosystem participants, universities, and schools, unemployment centers.
Time to train and improve models.
Cataloging material (we have more than 2000 relevant and high-quality materials now and neet to analyze and create knowledge for startups).
Making guidance even more qualitative.
Personalize guidance.
Improve flow.

The value of your solution(s) after the crisis

This approach might be used not only for the startup ecosystem but to reskill people in case they lost their job due to automation (Share of EU workers at risk of automation = 375M 2020-2030) https://ec.europa.eu/knowledge4policy/foresight/topic/changing-nature-work/AI-and-automation_en