We develop our customers' data strategy. We help them define and implement the best architecture for their transformation and storage pipelines. For instance, we set up ETLs for a DataLake and thus centralize the data.
We develop tailor-made image recognition solutions for our customers. They own the software we build. We rely on deep learning models or proven open source libraries.
Image Recognition Based Recommendation Engine
In 2 weeks, we developed a recommendation engine of style, based on computer vision, that boosted the conversion rate by +1,7%.
TIC Lead time : x20 quicker
We developed a software to put in 2D/3D plans of railroad poles by using computer vision.
Tailor-made dashboards tracking the marketing campaigns ROI. Sicara developed an ETL (Extract Transform Load) linked to a data monitoring dashboard.
Emmanuel Hosanski, Product Director ManoMano
Edge Detection in Opencv 4.0, A 15 Minutes Tutorial
This tutorial will teach you, with examples, two OpenCV techniques in python to deal with edge detection.
Determine Your Network Hyperparameters With Bayesian Optimization
Why and how Bayesian Optimization can be used for hyperparameters tuning
3 Steps to Improve the Data Quality of a Data lake
From Customising Logs in the Code to Monitoring in Kibana