Optimal uses AWS Bedrock, which is the managed service that provides access to a number of large language models (LLMs). AWS Bedrock provides industry leading data privacy, ensuring that your data is used only for the intended transactions and is not stored or used for additional training.

We leverage a two-step method to bring this feature to life.

Turning observations into numbers (vectorization): We use advanced generative AI models to convert observations into lists of numbers. This process, called vectorization, captures the key features and meaning of each observation in a numerical format known as a vector.
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Clustering for Insights: We then use clustering techniques to group these vectors based on how similar they are. Observations with similar number lists are grouped together, while those with very different numbers are kept separate. This grouping helps us spot important patterns and build Insights from the data.