Visual grounding
Using the source input as ground truth will help trust the system and makes it easy to interpret its process and what might have gone wrong.


When checking data, I want to be able to see how the system arrived at its answer, so I can trust the data and identify any potential errors in the process.


- AI Transparency and Explainability: Make AI systems transparent and understandable by explaining how and why decisions are made.
- Multimodal Context: In this example we used the context of an image of a receipt, but it can also include other modalities, such as audio.

More of the Witlist

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Embedding models can rank content along virtually any dimension. This capability provides significant value by enabling users to explore and analyze the embeddings to create a spectrum of any features.

Based on your selection and situation, context menus can help you discover actions and access them quickly.

Presenting multiple outputs helps users explore and identify their preferences and provides valuable insights into their choices, even enabling user feedback for model improvement.

Empower users to make decisions and give feedback quickly or engage more deeply when needed in natural language.

A smart browser assistant that understands the context of your open tabs to offer relevant suggestions and actions, enhancing productivity through transparency and control.