We help your business thrive by developing innovative, high-impact custom software and AI/ML solutions tailored to your specific use case.
Work with AE's world class team to accomplish your goals faster than the competition!
Natural language processing (NLP) is a subfield of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. Recent advances in language modeling have enabled computers to understand and respond to human language in a natural and intuitive way. Our data scientists can apply and fine tune these powerful techniques for your use case.
George Carlin said that “your words always give you away,” and although he might have been considering a particular “seven”, they’re still a treasure trove of insight. What do customers say about products? What sentiments are revealed by discussion? Is a person interested in buying X if they say Y? Let our algorithms read, report and add value!
Insight demands more than the right answers—it demands the right questions. Strategic decisions begin with curiosity, are fed by data, and conclude with a wiser path forward (give or take a few meetings, colorful charts, and impassioned debates regarding the relative merits of visualization libraries).
Computer vision focuses on enabling computers to see, understand, and interpret the visual world. The created models can be used for a wide range of applications, including image processing, video recognition, and object detection.
Our data scientists develop algorithms and models that can analyze and interpret visual data from the world around us, helping organizations to make more informed decisions and solve complex problems.
Our data scientists are efficient, collaborative, and come from places like these:
Data scientist with more than 20 years of experience using statistics and machine learning to analyze datasets in physics, finance, and online petitions. B. Magna Cum Laude in Chemistry & Physics from Harvard College and PhD from Cal Tech in Experimental High Energy Particle Physics.
Data scientist with experience building ML-based data mining solutions, with prior work in a variety of fields, including financial modeling, energy policy, and cybersecurity. Strong cross-functional background in signal processing, software development, and applied statistics. Dual degree in Statistics and Computer Science from UC Berkeley.
Senior data scientist with a passion for developing creative solutions to complex problems. Over the past 7+ years, he has demonstrated this by utilizing supercomputers to solve partial differential equations during his PhD at Princeton, as well as spearheading the integration of machine learning into a health-tech startup, starting from the ground up and reaching millions of users.