It’s often said that most of the work of data science is data cleaning. We can help you get your data ready to use in high-quality analysis pipelines.
Exploratory and production data science have significantly different needs. We will assist you in bringing a promising early-stage analysis into production.
You may have the best data in the world, but it’s of little use without quick, flexible access. We’ll help you establish a robust data curation solution.
Machine learning models need to be quick, accurate, explainable, and reliable. We can help you optimize and productionize your models to derive their maximum business value.
When new data comes in, you need to update your models. We can set up highly customized data and ML systems to streamline this process, freeing you to run with the insights they generate.
There's power in knowing your data and model workflows are operating correctly and efficiently. The Quansight team will build you dashboards to give you the foundational insight you need.
Our data and open source architects assess your use case and design a strategic roadmap with your success criteria.
From inception to delivery and beyond, we prioritize proper stakeholder collaboration throughout the project.
We invest ample time in the beginning to align on the problem definition, prioritization, and business value.
We share the design of a solution and the POC early on to be adaptable and to ensure we’re meeting expectations.
Our open source and data science experts transfer expertise along the way to strengthen your teams.
We don’t just deliver a solution, we work with you throughout the project to optimize each milestone.
We make sure industry regulations and audits are planned and executed in collaboration with your teams
Our network offers a deep bench of enterprise solution architects that can help you develop innovative software solutions.