Synaptiq

Synaptiq was hired by Spine by Design, a medical software development company, to create a mechanism for accurate imaging data extraction using computer vision and to develop a working alpha prototype of their software. The team from Synaptiq implemented a DICOM processing tool, ported pre-existing geometric functions from Matlab to Python, and built an inference pipeline for MRI image ingestion and model predictions recording. They also established a retraining pipeline for model improvements as new training data became available. The client appreciated Synaptiq's proximity, budget-friendly pricing, and company culture.

In a project with a software company focused on HR and compliance solutions, Synaptiq was tasked with building a machine learning-driven tool to curate e-learning courses for the company's clients and internal teams. They also helped the company identify internal roles needed to maintain and grow these tools and trained internal personnel accordingly. The client chose Synaptiq due to their geographical proximity, budget-friendly pricing, and previous positive experience with them. They successfully converted a manual course curation process into an automated, machine learning-driven tool, enabling the client's internal teams to be more efficient and allowing their customers to self-serve.

Loudoun Test Prep engaged Synaptiq to automate their proprietary GroupSmart process by analyzing years of students' test scores and optimizing the process based on the analysis results. The client also sought recommendations to further automate their grouping process. Synaptiq analyzed years of data to identify trends and used machine learning to understand how to create more effective groups for the students. The client appreciated Synaptiq's high ratings, budget-friendly pricing, and company culture.