Introduction

ResearchAI supports basic and clinical research using customized AI/ML and data science solutions.

Multi-language APIs

We have experience with many major programming languages, including R, Python, and Julia, among others, to provide efficient and user-friendly APIs. Within our scientific and clinical community, this is essential for two main reasons:

• Different users or groups may have expertise and codebases in different languages
• Different tasks may be better suited to different languages either inherently or due to the availability of libraries and tools.

A lot of our current work involves either creating tools with versions in multiple languages (e.g. API libraries) or creating web applications with language-agnostic backends.

Big Data support

As the volume of data and the speed at which it is generated continues to grow, it is essential to have tools and infrastructure that can handle big data efficiently. While often used without a clear definition, big data refers to datasets that do not fit into memory and require special data structures for efficient use.