AiBB | Harnessing Power Of Ai

AiBB is an Ai assistant wrapped in a decentralised, feature-packed crypto trading application. It’s an all-in-one platform for both experienced and noobie cryptocurrency traders. AiBB provides a solution in a currently saturated cryptocurrency ecosystem where access to information is easy, but working efficiently with thousands of contradictory and time-consuming information sources, wallets, coins, and exchanges is much more difficult. Our Ai Prototype assistant is live on aibb.io, featuring a NLU, NLP, and ML proprietary patent-pending algorithm that operates within all the modules in the application. It looks, listens, and learns contextually -- a robust improvement over bot-like Ai applications, in order to deliver actionable data. Ai powers three AiBB layers: application, exchange, and Ai which all work with thousands of modules to gather and analyze thousands of points of information and centralize them so they are available to users instantaneously, anywhere at anytime.

Our exclusive agreement with SKAEL Inc. gives AiBB its core Ai power. SKAEL's Ai technology is patent-pending filed under Application Type:

Utility under 35 USC 111(a) in the United States under Title of Invention: "Machine Learning Digital Assistant" technology. By partnering with SKAEL, we are able to apply more complex, AiBB's DISRUPTIVE TECHNOLOGY contextual understanding to the crypto realm in a way that provides users with a true advisor/ assistant rather than a pre-programmed bot for rudimentary answer-finding.

Outside of our core proprietary Ai Technology, we layer some of the best technology protocols available like instant payment and asset management. Our goal is not to reinvent these technologies, it is to leverage them and combine the best ones, optimize them, and to deliver a seamless and intelligent user experience that makes traders more successful.

AiBB’s Ai CORE

AiBB deploys this innovative technology according to the Virtual Customer Assistants (VCAs) framework that enables it to understand, problem solves, and undergo supervised deep learning.

Running in the background of each module, the Ai not only monitors but proactively looks for ways to optimize your holdings. Outside of trading, AiBB is an analytics powerhouse able to cut hours of research and provide the user with actionable knowledge rather than raw information.

THE CORE AI TECHNOLOGY POWERING AIBB PERFORMS THREE CRITICAL TASKS:

Looking (ML Integration)

Based on Naïve-Bayes and Levenshtein Distance equations, our custom algorithm is tuned to automatically extract, classify and categorize similar repetitive information while correlating relevant data metrics.

Learning (AI & supervised ML)

Our AI is trained through supervised ML with most responses generated through machine repetition and understanding of context, category and request vs. the information available. Quickly able to develop its own structured responses and recommendations.

Listening (NLP)

Our NLP algorithm is based on Google’s Slot, Intent and Classification methods (demonstrated by Google Assistant) and Named Entity Recognition models. This allows us to capture a user’s intention with context, classify it properly before processing the request.

Key Function:

NATURAL LANGUAGE PROCESSING (NLP)

We use the Bayes paradigm because it has proven to be the most stable. In order to deliver wider than sentence-based patterns, the team has also incorporated HTML-based patterns that reflect document structures.

NATURAL LANGUAGE UNDERSTANDING (NLU)

Our NLU algorithm is based on Google's Slot, Intent and Classification methods (demonstrated by Google Assistant) and Named Entity Recognition models. This allows us to capture a user's intention with context and classify it properly before processing the request.

MACHINE LEARNING (ML)

Our Ai is trained through supervised machine learning (ML). This means that most responses are generated through machine repetition and understanding of context, category, and request vs. the information available. The assistant is quickly able to develop its own structured suggested trades and risk analysis.