Transformation of non-native digital organizations into data-driven
Make your operations
capital investment and reduce waste
Ask our sales team for the diagnosis and opportunity potential assessment for your company and let ́s build the strategy to grow your business with data & AI, powered by the optimal team and technology.
Empower your company with AI and Data Science. Increase your revenue, accelerate your growth, and generate capital savings with AI-powered decision making.
We monitor and supervise the execution of the strategy
We recruit and hire Data Scientists, Data Engineers, Machine Learning Engineers and other AI specialists with guaranteed knowledge to solve the needs of our clients
Transform the data team from being a mostly on-prem BI team to being a team capable of developing machine learning use cases in the cloud
Design the MLOps Activation roadmap, to reduce the end-to-end time to put a model in production from several weeks to less than a day
Double the number of partnered content creators with AI. Increase +50% the repurchase of products, where AI helped to understand the needs of their clients
>80% of companies fail at generating value with AI
Not knowing how to generate value with artificial intelligence will endanger any company’s chances of succeeding over time.
Don’t miss the chance to create value with AI.
We have all heard of AI and Data Science but we don’t know how to use it. In this Podcast you will learn how to take advantage of it and apply it on your business with: Alejandro Correa, Chief AI Officer Rappi. Miguel Paredes, Vice President of AI & Data Science Albertsons Companies and Benjamín Ardila, Managing Partner Neural Design
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We optimize the data automation process
Customized data architecture
Optimized data engineering process
Enablement of our customers teams
We accelerate the value creation process
Identify most viable use cases
Develop PoCs or MVPs for data products
Support during deployment and industrialization
We improve the use of inputs and capital goods
Reduce production costs and waste.
Using ML to monitor asset conditions
Maintenance time reduction and cost cuts.
Maintenance routines automation.
Identifying errors and potential failures in machine processes
Reduce inspection costs.
Increase failure detection.