FROM THE LAB TO IMPLEMENTATION

We drive your data projects forward, towards the future

DISCOVER WHAT WE DO
— From AI to KPI

What's holding your company back from becoming data-driven?

Transforming your organization to become data-driven —that is, to make business decisions based on data— is a challenging endeavor.

WHAT IS YOUR BIGGEST CHALLENGE TODAY?

You struggle to govern, manage, and monitor existing architectures and databases accurately.

You can’t quantify how your machine learning model impacts your business’s KPIs.

Your resources are more limited than those of tech giants, so every decision requires more attention and planning, which can be paralyzing.

With new technologies emerging daily, it’s challenging to distinguish between necessity and FOMO (Fear of Missing Out).

IT'S NOT ENOUGH TO KNOW WHERE THE DATA IS OR TO HAVE A SPECIALIZED TEAM TO be sure THAT YOUR EFFORTS HAVE A REAL IMPACT ON YOUR BUSINESS.
— WE ARE deployr

We design and build the data architecture and AI models your business needs

Your goals are our goals.

Manage the data your business needs by designing customized solutions in cloud environments.

Learn to use the technological stack that your project requires with concrete examples from your business and industry.

Unlock the communication potential of different areas, breaking data silos to get transparency and clarity about the information available throughout the company.

Identify your organization's real needs and get a clear roadmap for the processes, people, and technologies involved.

Understand the real relation and impact of metrics from a machine learning model on your business.

Design cost-efficient solutions in terms of simplicity and automation.

deployr APPROACHES

We make the complex simple

At deployr, we take the time to listen and understand what your business needs.

With that information, we conduct a thorough diagnosis of the resources you have and what you want to achieve.

Only then, we propose a work plan with the most functional and concrete deliverables you’ve seen to date.

REAL AND CUSTOMIZED SOLUTIONS FOR THE CHALLENGES YOUR COMPANY FACES TODAY.

Foundations

For companies that need to design and consolidate a data architecture.

Science

Ideal for organizations that have data but struggle to take the first step in advanced analytics, either due to data disorder or not knowing how and where machine learning can add value to the business.

Models

The aim here is to help advanced analytics teams deploy their first models to production and incorporate machine learning engineering principles for effective business opportunities.

Pipelines

Designed for more mature data adoption organizations, the goal is to complete process automation, incorporating all stages of the MLOps framework.

— WE KEEP ON GROWING

Our team

Ramiro Savoie​

Cloud Architect

Hernán Escudero

ML Engineer

Darío Abadie

Data Engineer

Agustín Dye

ML Engineer

Industry leaders don't always bring the solutions your business and team need

Working with data to achieve your goals involves doing it on a reasonable scale and according to your organization’s current reality. Our customized solutions will allow you to reduce the costs and execution times of your data projects, guided by professionals with real experience implementing machine learning models.

TRADITIONAL CONSULTANTS
logo de deployr en blanco
TRADITIONAL CONSULTANTS​
logo de deployr en blanco
— NO CLOSED PACKAGES

We drive your data projects forward, towards the future

Reduce the cost and execution time of your data projects with the guidance of professionals with real experience in adopting the necessary technologies for deployment of machine learning models.

— OUR PODCAST

Listen to
Buena Data

A podcast delving into the realms of data, algorithms, and how we’ve shaped today into the world of tomorrow.

Exclusively in Spanish!

Your host: Hernán Escudero.

deployr Approaches

Foundations

Before building a tower, you must lay the strongest foundations.

For companies that need to design and consolidate a data architecture.

YOUR ORGANIZATION SHOULD BE ABLE TO TAKE OWNERSHIP OF THE DATA, NOT THE OTHER WAY AROUND.

deployr foundations focuses on building a data lake/data warehouse and training in its use and exploitation using BI tools.

deployr Approaches

Science

Algorithms are only as useful as their concrete impact on the business.

Ideal for organizations that have data but struggle to take the first step in advanced analytics, either due to data disorder or not knowing how and where machine learning can add value to the business.

The deployr science approach focuses on designing business-oriented machine learning projects, involving data discovery as a crucial part of the process.

deployr Approaches

Models

Being able to run and access your models from anywhere makes the difference.

The Models approach aims to help advanced analytics teams deploy their first models to production and incorporate machine learning engineering principles for effective business opportunities.

deployr models focuses on the productive deployment of machine learning models and the adoption of best software engineering practices for a scalable, secure, and efficient solution.

deployr Approaches

Pipelines

Automation leads to fewer human errors and more time for experimentation.

The Pipelines approach is designed for more mature data adoption organizations: it seeks complete process automation, incorporating all stages of the MLOps framework.

deployr pipelines focuses on implementing CI/CD/CT practices to bring analytics and machine learning processes to their most professional level.

Del laboratorio a la implementación

Contactanos

Podemos ayudarte a que tus modelos de machine learning lleven a tu organización a un nuevo nivel. Completá el formulario y a la brevedad te contactaremos.

Del laboratorio a la implementación

Contact us

Podemos ayudarte a que tus modelos de machine learning lleven a tu organización a un nuevo nivel. Completá el formulario y a la brevedad te contactaremos.

enfoques deployr

Foundations

Para construir una torre, primero hay que colocar los cimientos más sólidos.

Para aquellas empresas que necesitan diseñar y consolidar una arquitectura de datos.

Lo más importante es que tu organización pueda apropiarse de los datos y que éstos estén a tu disposición, y no al revés.

deployr foundations se centra en la construcción de un data lake / data warehouse y en la capacitación en su uso y explotación mediante herramientas de BI.