Preste

Preste collaborated with Advanced Track & Trace, a security and traceability company, to develop a custom software that detects unwanted objects in consumer capture. The software was designed to reduce computer resources usage and speed up the process. Preste's team of 2-5 employees was chosen for their culture fit and a previous referral. The solution they developed effectively reduced the amount of undesirable elements in the process, thereby achieving the project's goals.

In a project for a university, Preste was hired to develop a data platform from scratch. The platform needed to support citizen science projects and deliver cooperation analytics on the fly from various data sources. The Preste team, consisting of a project leader, a data scientist and a data engineer, was chosen for their ability to adapt to home made data sets and unstructured project conditions. Through tests, data extraction, aggregation and the exploration of NLP techniques, they were able to successfully meet the project's objectives.

Preste worked with a property technology company to build a custom AI solution for smarter management of building automation systems in commercial real estate. The Preste team, consisting of a team leader and two specialists, was selected through an online search and impressed the client with their understanding and proposed solutions. They worked closely with the client's internal team, using several programming languages and programs to deliver the project. Their work resulted in an effective AI solution that met the client's goals.