We love AI and...
- Help you collect and build equity in your data
- Train a huge AI on all the data to learn your business
- Use this AI to solve all your problems
Yes, one AI for all your data and problems.
Process
Principal investigators
Prof. Gunnar Carlsson
Carlsson is Professor of Mathematics Emeritus at Stanford University, and with 42 years of research experience, Carlsson is one of the most renowned mathematicians in the world and one of the founders of Topological Data Analysis. He is also president and co-founder of the artificial intelligence platform Ayasdi.
Rickard Brüel Gabrielsson
Brüel-Gabrielsson is a Stanford graduate and MIT researcher. He is an acclaimed researcher and a serial entrepreneur with over 10 years of experience of using tech and AI to transform industries.
We’re the world’s leading AI co-investor
ALTOR are world experts at Private Equity.
They manage EUR 8.3 billion with an excellent track record.
About
We’re world experts at self-supervised learning for businesses. We develop state-of-the-art natural-language-modeling inspired AI models for consumption and behavior.
This includes a lot of engineering and coding. We work with some of the biggest organizations in the world and our solutions have been used at scale by millions of people.
Keywords: Self-supervised and unsupervised learning, NLP, NLM, vision, contrastive learning, Transformers, GPT3, BERT, T5, Electra, CLIP, BART.
Publications
One AI for all your problems
Our AI unlocks the synergies in your business, breaking the one model per function paradigm.
Pool all data
Train a single model
Plug in all company functions and enjoy the synergy effects
Self-supervised learning
Our AI learns through observation rather than from a teacher. The meaning it finds is relational rather than abstract. Together, these lead to superior performance.
Other
We've had our hands in most AI-related problems and find ourselves coming back to this insight: the power of AI allows for more general problem formulations, pooling of data, and solving more tasks using less customization. We avoid wasting time on problems that are soon solved by a better, more general problem formulation; instead, we go straight to the core of AI.
We're commercial and in addition to research we also implement and deploy our model. Our team includes brilliant engineers and programmers, covering ML, data, dev-ops, and web.
We're hiring! Reach out to admin@unboxai.org.- Follow us on LinkedIn.
- Check out our blog post on the Stanford AI blog: A Topology Layer for Machine Learning.