🎯
Eontribe
  • 👋Introduction
    • Mission
    • Vision
    • Industry
  • 💡Problems and solutions
  • 🛡️Transparency and reporting
  • Ecosystem
    • Neural network
      • How does the Eontribe neural network work?
      • Groups of user
      • Opinions about a person
      • Lead generation
      • Calendar
      • Autotranslation
      • The voice input
      • Eontribe neural network use cases and examples
        • Searching for a business partner
        • Searching for a team to play with
        • Searching for Real Estate
        • Searching for an Employee
        • Autotrading
    • Social network
      • General characteristics
      • Additional features in the social network
      • Messenger
      • Subscriptions
      • Post management
      • AI for chat filtration
      • Voice chat translation feature
      • Search
      • Content ties together the entire ecosystem
      • Synchronization
      • Anonymous questions
      • Implementation of smart contracts
    • Life in VR
      • 3D avatars
      • Scene
      • Avatar Training
      • Mimicry
      • Gestures
      • Living together
      • Pets and plants
      • Digital immortality
    • Metaverse
      • Interconnectivity with the Marketplace
      • Social networking and chat rooms
      • Virtual real estate
      • Brand positioning
      • Events hosting
      • Recording life moments on the blockchain
      • 2D and 3D assets
      • Realistic World
    • Cryptoexchange
      • DEX
        • Low-cost transactions
        • Transparency and anonymity
        • Security
        • Improvements in the industry standards
      • CEX
        • Spot trading
        • Contract (futures) trading
        • Market and limit orders
        • Interest-earning Accounts
    • Marketplace
      • Tokenizing real-world items
      • Virtual assets
      • Freelance exchange
      • SDKs
      • Merchandising items
      • Eontribe ads
      • Eontribe NFT
      • Digital passport
      • Warehouse
      • Plastic card
      • Subscription
  • Tokenomics
    • Issue
    • Allocations
      • Founding Team
      • Tokensale
        • Seed round
        • Private round
        • IDO
      • Ecosystem
    • Vesting
    • Purpose and use of EON tokens
    • Burning
    • Staking
  • NFT
    • Introduction
    • EONs
    • DNA
    • Collectibles
    • Eons + DNA
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  1. Ecosystem
  2. Neural network
  3. Eontribe neural network use cases and examples

Searching for a business partner

Finding someone with whom you are willing to establish business processes and share profits is a process that can take months or years. The reason for this is that the candidate must meet all the requirements, from professional qualities to moral standards. Under normal conditions, common friends, contacts in a particular industry, or painstaking online screening can help. And even so, no one can say with certainty that a business partner is right for you in terms of his personal qualities and psychological traits.

The vicious circle of a failed search is broken by the use of artificial intelligence. Using Eontribe neural networks, you can instantly set up a meeting with the right person and avoid wasting hundreds of hours with unsuitable, unqualified candidates.

Case

Oliver from Oklahoma is a minor internet company owner who has been trying to grow his business for 7 years. Unfortunately, he did not know enough people in this field, and every attempt to find a business partner ended in scandals or financial losses. The last such case almost resulted in his bankruptcy. Searching through social networks and classifieds websites also failed.

After Oliver signed up for the Eontribe platform he began training, telling the neural network about his business and what kind of business partner he would like to see nearby. He dedicated a big part of his description to the personal qualities of his future partner: "He should understand crypto, have experience in creating desktopktop applications, and not panic at the first market change".

As a result, the neural network gathered the necessary amount of clarification and produced a list of suitable profiles. Oliver went through the first 5 results and realized that all of them did not have the right background, and that some had limited experience with only 1-2 short-term projects. After refining this information with a neural network, he got a short list of candidates. Selecting the 2 most interesting ones out of 7 profiles was not difficult. Oliver indicated that he would like to make an appointment with them and immediately saw the specific dates and times of the meeting. The neural network planned the meetings according to Oliver's busy schedule and the candidates' preferences.

arallel, Olivia's words didn't go to any public profile, didn't become known to other users.

The neural network was able to find several profiles at once that fit her criteria and were psychologically suitable. With Olivia's permission, the neural network made a calendar of dates, taking into account her free time and her patron's schedule.

One of the dates took place online, using auto-translation. The language barrier was not a barrier for having a great time and discussing many topics interesting for both of them. Maximum truthfulness in communication with Eontribe neural networks is a guarantee of quality selection of an interlocutor, which will save you from meetings with unsuitable, uninteresting people.

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Last updated 1 year ago

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