Today, businesses waste billions of dollars on bad assumptions in the hiring, management and professional development of employees because of buried, incomplete, or bad talent data.

Meanwhile, everyone guesses what they should learn next and no one has a firm way to contextualize new knowledge and skills earned.

Make it easy for educators to scalably quantify and distribute maps of verified completed learning to individuals.

A Universal Talent Passport 

Gobekli is building an app that allows users to manage all career data in one place.

We include simple “family tree” style skill charts to help users visualize and filter their knowledge, skills and experience – with citations that reference career evidence.

The individual’s career evidence will be housed in a master index – which we call a Talent Passport – where users manage and share their verified credential wallets and self-generated career evidence.

We are also designing a conversational assistant with the aim of helping users to claim and contextualize career evidence in order to curate and deliver their data to people or platforms and help them achieve objectives such as career advancement or professional development.

Extensions & Pro Membership

The above design allows for a human-centered ecosystem and “bottom-up” flow of data, with far reaching possibilities.

Users are planned to be able to download the Gobekli app and make in-app purchases for services and extensions to further map, cite and distribute information about their knowledge and skills.

Extensions on the user’s end can allow a school, company, or app to request a certain set of the employee’s talent data – which can be lent out and then later revoked.

We envision and have cultivated pipelines of potential partner applications in the following categories:

• Data Exchanges
• Upskilling & Education applications
• HR/Management applications
• Team applications
• Personal applications

Digital Course Mapping Service

We plan to deliver a licensable tool that allows schools and learning management systems to map the knowledge and skills of their coursework.

Our prototype creates talent maps by using taxonomy filters, which can be adopted or auto-generated to identify key knowledge and skill sets.

Our method of recording linked and grouped concepts not only provides translatable meaning, but also happens to make our maps stackable, filterable, and shareable.

Note: We believe that this same methodology, when applied at scale, may provide a framework to solve the global talent interoperability problem. We have developed models to explore this.

Dynamic Talent Visualization AI Tools for Schools & Training Platforms

We intend to drive value to education platforms first, by providing tools for their users to visualize and display their learning, as well as offering smart recommendation tools.

We then plan to deliver the maps to individual learners to take with them. 

Linked Talent Data

We can empower a ground-up flow of 10x better talent by providing a private and secure graph interface of each person’s experience, knowledge, and skills, with the evidence to back it all up.

We believe, however, that ownership of that data fundamentally belongs to the individual.

Therefore, it would be unethical, unmarketable, and unsustainable to build if the platform didn’t rely on technology that ensures an individual’s sovereign ownership of their data.

We have invested the last year of research and development into the following key technologies:

Verified Credential Standards & Networks

Note: While Gobekli has spoken with all of the above organizations to gain preliminary validation of our designs, membership in their networks comes with a fee. We plan to use a portion of our Netcapital investment to pay these fees and formalize these relationships.

Velocity Network, Open Badges, and Credential Engine all are designed to enable the transmission and verification of credentials, which we plan to use as an envelope to deliver talent maps from educators to the learners Universal Talent Passports.

Web3.0: The Technological Engine

Self-Sovereign, Human Distributed Data

Sir Tim Berners-Lee, the inventor of the World Wide Web, chairman of w3.org, etc., has launched and is leading the development of a new protocol and system called Solid to re-distribute ownership and control of data back to individuals, as the source.

We have invested the past year working in the development community around Solid to gain feedback and technical validation for our use case. Through that research and development, Kayode Ezike, who worked under Tim Berners-Lee to develop a Verifiable Credentials framework for Solid (https://github.com/kezike/solid-vc), has joined our team as our Decentralization Architect.

Our name comes from Göbekli Tepe, a 12,000 year old world heritage site in Turkey, which has been dubbed "the first temple.”