Ayasdi

Case Study

Ayasdi is transforming how the world uses data to solve complex problems with an automated insight discovery platform that helps organizations operationalize insights from their data. The company was founded in 2008 after a decade of research at Stanford, funded by DARPA and NSF. Ayasdi’s Insight Discovery platform uses Topological Data Analysis (TDA) which combines a large number of machine learning techniques to enable business people, domain experts and data scientists to achieve value from their data without the need to invest man-years writing code or fruitless queries.

Kaggle

Kaggle is the world’s largest community of data scientists and a platform for predictive modeling and analytics competitions and consulting. Users compete with each other to solve complex data science problems using the latest and varied applications of machine learning. The company has a track-record of solving real-world problems across an array of industries including energy, life sciences, financial services, aviation, information technology and retail.

MemSQL

MemSQL delivers the leading database platform for real-time analytics. Global enterprises use MemSQL to achieve peak performance and optimize data efficiency. With the combined power of database, data warehouse, and streaming workloads in one system, MemSQL helps companies anticipate problems before they occur, turn insights into actions, and stay relevant in a rapidly changing world. Visit memsql.com or follow us @memsql.

Metamarkets

Case Study

Metamarkets is a real-time analytics platform with applications in programmatic advertising. They enable digital media buyers, sellers and exchanges to make better decisions by providing a visual and intuitive reporting interface into trillions of real-time advertising transactions. Metamarkets is akin to a Bloomberg terminal for online media markets.

MetaMind

MetaMind wants to make deep learning accessible to everyone. Deep learning is a rapidly growing branch of artificial intelligence. It comprises a set of techniques that don’t require domain experts to program knowledge into algorithms. Instead, these techniques can learn by observing data. MetaMind is at the forefront of both the research in Deep Learning and its applications to new problems and industries. MetaMind improves and distributes state of the art solutions in natural language processing, computer vision and database predictions.

Scaled Inference

Scaled Interference is enabling a new generation of intelligent software built by the masses and powered by an open shared platform.

Vicarious

Computers are currently unable to understand the sensory experience of a human. Sense data is almost always noisy, blurry, occluded and, ultimately, an incomplete, 2D snapshot of a 3D world. These uncertainties have foiled our best efforts to create automated systems for understanding the world as we experience it. Vicarious is building the next generation of artificial intelligence algorithms to better understand our world.