TraiNN

Create your Neural Network able to decode strategies that resonate with any vision you could have... transcending the limits of solitary understanding.

🧠 It's simple, you have a supercharged artificial brain that can learn millions+ of times more information that any of us could learn over our lifetime... you train it with the data of your business, with limitless data form the industry you are into or data relevant to your unique strategy and vision... the supercharged brain becomes your best strategical partner.

Train with structured data:

• Users upload spreadsheets (e.g., historical sales data).

• The platform auto-trains a model for a predefined task (e.g., demand forecasting).

• Example: A bakery uploads monthly sales, historical sales for the current year → model predicts next month's best-selling items.

Currently offering templates: Users are able to download ready-to-use templates for uploading their custom data. A faster and seamless experience allowing to train the models with different kind of data (e.g., "Sentiment Analysis Template") opening up to limitless strategies and use cases.

Unstructured Data:

This feature is currently in development: we are working towards letting users train their own custom model with any kind of data (e.g. web links, Youtube videos, text books, one-click APIs and more)

This feature requires converting text or audio visual content into structured data (e.g., coffee shop owner upload customer reviews and NNaaS platform handles the data processing in the back end, then automatically trains the model without technical complications for the users)

📃 Step by Step Guide

Let's explore the process of training your custom predictive model from your own unique data

The Train Your Own Model feature is reserved to active participants of the Network.

check our NNode section to learn more on how to become one

🗨️ Interact with the Model

You can interact with your model through a chatbot, asking questions and getting pertinent answers, reviewing new options, new strategies, adding data etc. in the most straight forward way to support a focused exchange between human and machine.

Once the training is complete the model will be able to showcase visual elements, and users can download full detailed reports or shorter versions for their work, research or challenges