Data mapping + normalization
Custom image classification
We make it possible to solve complex AI tasks without needing extensive training for applications in natural language understanding, computer vision and recommendation systems. AI systems that previously required thousands of labeled examples can now be built with just a handful (and sometimes zero) new labeled examples. XOKind AI leverages foundational models such as large language models, multimodal models like CLIP, and common-sense reasoning over knowledge graphs. We are layering our innovations on top of these algorithms to build AI products that can assist businesses and consumers.
We are combining these tech innovations with human-centered design thinking to bring the ability to build, deploy and scale these AI capabilities to software developers and product managers, and enabling even small ML teams to achieve more, faster. The XOKind AI platform provides an accessible visual workflow as well as an API to build, deploy, manage and scale AI models.
Ranking visually informative and pleasing images higher using different criteria based on the travel modality such as hotels, restaurants or hikes.
Resolving natural language queries into SQL as well as vector similarity components and finding the best matches for the user
Structuring online travel content from disparate sources into a standardized ontology.
Matching users with the best available inventory on-demand via a rich understanding of user preferences, inventory and contextual factors like distance or weather.