We do Data Science, not genAI
Augmented Intelligence for Education Advancement
Structify powers devs to build sophisticated apps for leaders in their field.
Crosswalk
Organize syllabi, map skills, and streamline credit transfers. Connect LMS content to learning objectives and accreditation, while building career pathways with upskilling and role alignment for academic and professional growth.
sagax1
Unchained private and local AI for superior quality and security. Easily find, download, and train models with your own data, then deploy with a custom API—just like black box models, but fully under your control. Optimize performance while safeguarding your and your clients' data.
ar+i
Secure knowledge management and easy integration directly to Brightspace, Canvas, Google, and AWS so your data stays with your existing infrastructure.
What we do?
The field of data science has been around for decades. It starts with identifying a problem, gathering the relevant data, incorporating the stakeholders, and building a solution tailored to that problem. We work with our clients to do this across domains using language , knowledge graphs, machine learning, computer vision, multimodal, or physics-informed models and execute only on your data. genAI on the other hand is a term used to define products that feed data into a large language model with the hopes that prompting will get to the right answer. Language models are great at summarizing and re-formatting data, but it does not have intelligence or actually generate anything. They are merely matching patterns in the training data. The reason large language model APIs do not work well is because they attempt to pattern match on vast amounts of irrelevant data. When you build your own models with the data science approach, the patterns you are attempting to use are confined to the data that you have allocated for the operations and no one else's.