Data efficiency

Traditionally, businesses that benefit the most from artificial intelligence are data-saturated tech giants. They invest heavily in AI research to make the most of their massive datasets and increase their market share.

It’s time that changed. 

We democratize AI by developing innovative techniques to extract information from small, unlabeled, and noisy datasets. This enables all businesses to use intelligent technologies when solving their most challenging problems.

Human-computer collaboration

People and machines work best together, especially when solving problems at scale. We believe that the future of AI isn’t a fully-automated society; it’s a collaborative effort that mixes computational technique and deep learning with human ingenuity and innovation.

Our methodologies allow us to harness the power of information systems and use them to augment human intelligence. We deliver technology solutions that assist with optimization while empowering individuals with the actionable insights they need to enhance decision-making.
 

Generalizability

Our research teams work toward solutions that allow AI systems to seamlessly transfer from one problem to the next across a wide range of circumstances. We create technologies that operate across different data types, domains, and industries. This versatility means that the learning algorithms we implement are adaptive and scalable. 

Our conversational agents may work in customer support for healthcare, retail, or travel while handling speech, text, or other human-based inputs. Our digital signage AI may need to serve images, videos, and other content to human audiences in real time.

We believe that this level of flexible computation is the future of AI.