A17

A17 was hired by an XR development studio to develop a forecasting model and algorithm for their client database. The decision to hire A17 was based on their understanding of the studio's problem and their proposed solution. The project involved several iterations to correct and optimize the forecasting model, which was then put into production and used for 4 weeks in test mode. The entire implementation took 12 weeks and was carried out by a team of five from A17, including an architect, an ML engineer, a data engineer, DevOps, and QA. The studio expressed satisfaction with A17's timely responses and professionalism.

In another project, A17 was hired by Smartbox Equipment Inc., a Canadian research and development company, to embed a white label OLAP tool into their core platform. A17 was selected for their budget-friendly pricing, culture fit, and value for cost. The project involved creating a user interface using the React framework, establishing a universal metadata layer, designing a universal connector compatible with MongoDB and PostgreSQL databases, and producing a collection of 12 template dashboards. The integration of white label analytics features into Smartbox's software development toolkit was a key deliverable, enabling them to provide Business Intelligence and analytics capabilities to both current and prospective clients.

A17 also provided AI consulting for a telecommunications company, focusing on data catalogue implementation and master data management process setup. A17 was chosen for this project due to their competitive pricing and a referral. The project involved building data ingestion pipelines with apache spark and ni-fi, drafting visualisations with D3.js, and conducting ad-hoc analysis tasks. The project was carried out by a team of 6-10 employees from A17. The telecommunications company appreciated A17's ability to update their monitoring solution data nearly in real-time and the custom front end visualisation.