We leverage principles of design thinking to redefine problems as opportunities. We believe that AI is first and foremost a tool to improve humanity, and we are committed to developing solutions that do so.
When APIs just won't cut it, angelica.ai helps clients develop, custom, robust and agile ML solutions. We pride ourselves on constantly learning [and creating] the latest techniques in machine intelligence.
Computers that can see and understand the world around them are exponentially more powerful and can unlock incredible new experiences for customers, and increase productivity in factories, processes, and supply chains.
NLP&U is a powerful force driving solutions at most major organizations, it has become a necessity, and in some cases an arms race for developing compelling experiences for customers. We help our clients stay ahead of the game.
TThese engines are made famous for driving sales at Amazon, and growth at Netflix; however, these intuitive systems can be powerful tools for everything from energy efficiency to personalized learning.
We believe every decision should be data-driven. From A/B testing to customer retention projection models, we develop data collection and analytics strategies that our clients ♥
I am a serial entrepreneur, angel investor, startup advisor, and an AI researcher at Google. I started angelic.ai as a NSF Graduate Research fellow studying AI and Human-Computer Interaction at Stanford University. I've also had amazing experiences working on Machine Learning projects at Apple, NASA, and Bank of America.
I am an entrepreneur and mobile developer who has worked in various industries, launching products at companies like Slack and Ernest.
I am an entrepreneur and former academic AI researcher at Stanford University. I am passionate about bringing AI out of the research archives and into the real world. I’ve had awesome experiences working on AI at Microsoft and Salesforce.
As a Senior Data Engineer, I’ve spent much of my career leading extreme-scale projects for the U.S. Government—I have a BIG spot in my heart for BIG data.
I am an experienced systems engineer (semiconductors), at Intel. I now leverage my inner creator, designer, strategist and developer to help clients tell compelling stories with technology.
Interested in working in an innovative fast moving enviroment in the center of Silicon Valley and at the forefront of AI research?
I am an MBA candidate in the Graduate School of Business at Stanford University who has enjoyed an extensive career in engineering at Google and Waze.