Features and Applicability

• Automation is one of the most-cited features of AVA. Automation not only leads to higher production rates and higher productivity, but also allows for more efficient use of marketing, better start-up projection, shorter lead times and greater safety. Automation also helps free up data clutter and time consumption for both start-ups and investors.

• Human emotions and thoughts influence decision-making in many ways. AVA, on the other hand, is based on pure logic and data, without any emotions. The result is AVA can help users make smarter decisions, faster. AVA can help coordinate data delivery and create consistency. It is also able to analyze data, identify trends, provide forecasts and quantify risks and uncertainties. The best part is that AVA is generally unbiased. The bottom line of an AVA can help users make the best decisions by leading start-ups to the right investors and vice versa. AVA keeps up with today’s algorithmic trading, helping people make smarter decisions about which start-ups to invest and when.

• Modern businesses are flooded with data and most of it is not utilized. Manual data analysis is a time-consuming task, but AVA have the ability to process vast amounts of data at incredible speed and can be analyzed. AVA can quickly find relevant information, spot trends, make decisions, and make recommendations based on historical data. For example, the in-built algorithms of AVA can quickly analyze the effectiveness of marketing materials, identify user preferences and provide actionable insights based on that users’ behavior.

• AVA don't have to deal with the negative effects of fatigue. Humans get tired, while an AI like AVA don't. The human brain can only focus on one task for a short while before it starts to lose focus. When people get tired, they are more likely to make poor decisions and become more prone to making mistakes. Repetitive jobs can be more prone to human error because it is easier for people to lose focus when they are doing something repetitive. AVA are not limited in its ability to focus due to it being designed for the purpose of simplifying and connecting the start-up to the right invertors. With AVA handling tasks, there is less chance of human error, resulting in a more accurate outcome.

• The focus on the development and investments of an AI like AVA has led to significant improvements in the technology. Machine and deep learning models are helpful in solving some complex problems. AVA can be used to do things like detect fraud or create personalized interactions with user. In many cases, users can get their issues resolved without even needing to speak to a human.