We provide a range of easy-to-understand visualizations that explain
your AI models for you. Just start with a model or dataset.
What is Lacking?
Most of us have little visibility and knowledge on how AI
systems make the decisions they do
Many AI algorithms cannot be examined after-the-fact to gain
understanding of how and why a decision was made
This is especially true of the most popular algorithms
currently in use, specifically, deep learning neural network
The lack of explainability and trust hampers our ability to
fully trust AI systems
What is XAI?
The need to trust these AI based systems with all manner of
decision making and predictions is paramount
The sorts of decisions and predictions being made by
AI-enabled systems is becoming much more profound, and in many
cases, critical to life, death, and personal wellness.
This is especially true for AI systems used in healthcare,
finance, and manufacturing, as well as for customer-driven
What Eleza.ai Solution Answers?
Why did the AI system make a specific prediction or decision?
Why didn’t the AI system do something else?
When did the AI system succeed and when did it fail?
When do AI systems give enough confidence in the decision that
you can trust it, and how can the AI system correct errors
Delivers no-code explainable AI visualizations
Makes interpretations of AI more accessible to the business user,
non-expert or technologist
Quickly applies explainable AI algorithms for the non-expert and
generates visualizations without having to writing code
Technologist can obtain strong baseline to compare their
explainable visualizations against
Technologist can easily experiment to test new ideas and analyze
As with any innovation, Eleza.ai started with a need. The founders of
Eleza.ai recognized that Artificial Intelligence has tremendously
helped achieve better outcomes in almost all industries, including
healthcare, financial, marketing and manufacturing. However, they also
realized that AI is not fully being utilized because there is a wide
gap in AI algorithms and their creators’ ability to explain the
reasons behind the decisions.
Out of this realization, we launched Eleza.ai. ‘Eleza’ means
‘Illuminate’ in Swahili; and that is our mission. Our sole focus is
providing interpretation of AI with Low-Code to the business user,
non-expert and technologist. AI is known as a black box for its
inability to explain. Our solution is designed to reveal, simplify and
explain. Moreover, our interpretations are decoupled from the machine
learning or deep learning models.
All that the user needs to do is load the datasets and/or pre-built
models to view the visualizations that provide explanations or
interpretations in a user-friendly manner.