Highlight of the month: we released the first version of the PathLit R package on the CRAN (Comprehensive R Package Network). It’s now very easy to interact with the Engine with R scripts and R Studio. Documentation and tutorial available here.
Our alpha preview of the PathLit Engine is publicly available at no cost for the time being. Our API requires an account so that we can assign an API Key, it takes less than 5 minutes to start building on top of the platform. A quickstart guide is available here
The PathLit Engine is designed as an API First product. A common use case for this type of architecture is to be integrated in a machine to machine relationship, providing specialised services given some raw input, returning refined output.
Not all use cases are machine to machine though, so the PathLit Engine can also be interfaced by humans with the help of SDKs (Software Development Kit - helping software developers create applications).
This month marks the release of our SDK R package. A wrapper library designed to allow our users to focus on using the Engine with helper functions. The team responsible for maintaining high quality packages on the CRAN (Comprehensive R Package Network) did a thorough job in validating the package before giving us the green light. It is available at the following address https://cran.r-project.org/web/packages/pathlit/index.html
A package or library is not really useful without a good documentation and a tutorial so we updated our website to provide both: https://www.pathlit.io/docs/sdks/r
We are finalising the Python PYPI (Python Package Index) package and we are planning on releasing in late august. This will allow users who are familiar with Python to quickly interact with the Engine in any python codebase or jupyter notebook.
We're creating a series of tools for software developers to build digital money-management apps. The trend these days is towards building new products using lots of specialist bricks made by different companies, so we're focusing on portfolio calculation bricks in particular.
Going a little bit deeper, we are building an API library focused on portfolio construction and simulation tools, for developers to build next-gen digital investment products. The idea is that for any given assets, geographies or customer segments, we can provide portfolio capabilities that would be tedious to develop in-house, have good governance and audit, and speed up go-to-market.
If you would like to know more about us, we explain our vision/mission at this link . Essentially, if you are building a robo advisor, an advisortech platform or running quant analysis among other use cases, we can help you by lowering your cost and take tedious workload off your hands so you can focus on your core offering.
We are constantly looking for feedback to make our product better. Please contact us to share your experience at email@example.com and we’ll get back in touch. Follow and like us on LinkedIN, share this newsletter with anyone or any community that could benefit from it.
Andrew, Rias, Nicolas, Clara and TianYi