Isabella Tappin founded Bella with a breakthrough innovation in artificial intelligence. The patented system identifies causal relationships from both quantitative and qualitative data sources to better contextualize responses. The software architecture and unique knowledge graph are designed to be fully understood at every level, ensuring unparalleled model accuracy and consumer privacy. Bella is the first truly explainable general artificial intelligence.
After years of research, Isabella discovered that modern methods of predictive AI were limited to narrowly scoped, often biased point solutions that were accessible to a select few. Isabella began testing different types of AI models to see if she could improve the technology.
She designed an algorithm that took the best of predictive modeling and natural language understanding to contextualize relationships between both quantitative and qualitative data. The AI system invented by Isabella was granted three patents. She led a team of numerous PhDs, professors, and computer scientists specializing in the field of AI. The breakthrough was proven feasible and the software architecture was built.
Isabella leads as the Founding CEO and is dedicated to her mission of innovating artificial intelligence responsibly.
Explainability is a computer science term for techniques and methods that enable human users to understand the underlying reasoning of algorithms and trust a model's output.
The most complex artificial intelligence models available on the market today are not fully explainable.
Bella will change this.
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