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About DareData Engineering

Need someone to work with a specific technology? Our Talent Agency gives you access to a network full of Data & AI experts in data who can guide and assist you in developing the right solutions for your challenges We can provide outcome-oriented technical profiles to match the vision you hold

No two businesses are alike and we know it.

This is why we believe tailored Data & AI solutions are the best way to achieve an effective and sustainable business growth. Discover solutions that solve problems for Sales & Marketing Review tailored solutions from Finance to Risk Management Get specific solutions customized to Heavy and Automation Industries Find the solutions to running any business, reduce errors and increase automation Make your Data flow as smoothly as possible Develop R&D Projects with greater confidence

Data Science & Analytics

Whether you want to build a Proof-of-Concept (POC) or solve a large organizational pain point using data, we can improve your decision-making using Machine Learning or Data Science Check some examples of our projects → We’ve done multiple forecast models for our diverse base of retail customers Our models aren’t only tied to past sales data but incorporate contextual information relevant to explain the demand of each product

Extract insights from your photos or videos Be able to identify and track new insights or automate manual processes

No Data works without Data Engineering As Data Scientists and Data Engineers, we understand how to manage and organize data to fit your business needs

Optimize your cloud infrastructure to reduce your costs

Data Pipelines for IoT

Build data pipelines and aggregate data from different sources Combine data with external datasets for new KPIs

MLOps are a crucial part of any Data & AI development Because most companies stay in the POC stage, we are experts in setting up state-of-art MLOps best practices and helping you leaving the never-ending POC loop

Model Monitoring and Retraining

Investigate your model drift and retrain it based on triggers

Make sure that your deployed model receives exactly the same type of data structure that you used on the development phase

Categories & features

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