Builders of Smart Data Products

We understand big data and how to make it work for you. Our experts bring solutions to challenges that arise around big data. We enable you to derive powerful insights from critical information that help you to better understand your customers, increase engagement, boost sales and facilitate data-driven decision making processes.

 
$50,000+
 
$50 - $99 / hr
 
10 - 49
 Founded
2016
Show all +
Montevideo, Uruguay
headquarters

Portfolio

Key clients: 

Roku, Indigo, BuyerSight, Mastercard, Globalization Partners

Reviews

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Staff Augmentation for Tech Company

"Montevideo Labs' engineers fit the skill profile and cost profile that we needed for the project."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$1,000,000 - $9,999,999
 
Jan. 2015 - Ongoing
Project summary: 

Montevideo Labs provided staff augmentation services on areas such as data science, machine learning, data processing, and DevOps. The team utilized various tech stacks such as JavaScript, Python, and more.

The Reviewer
 
1,001-5,000 Employees
 
Boston, Massachusetts
Willard Simmons
VP Product, Advertising Technology Company
 
Verified
The Review
Feedback summary: 

Montevideo Labs dramatically improved the company's core services. To be specific, about 80% reduction on cost for machine learning job chains happened. The team also enhanced the deployment time and product operations. Overall, they are a highly professional team that has an unparalleled work ethic.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

I am an engineering and product management executive at an advertising technology company.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Montevideo Labs, and what were your goals?

I have been working with Maximo Gurmendez and his team continuously since the formation of Montevideo Labs in 2016. We have hired them to augment core teams with skills in data science, machine learning, data processing, and devops.

SOLUTION

How did you select Montevideo Labs and what were the deciding factors?

Montevideo Labs' engineers fit the skill profile and cost profile that we needed for the project.

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

The team produced machine learning job chains, big data workflows, handled various devops projects for CICD, and real-time software for advertising auction evaluation. Technologies used included Java, Scala, Python, R, Spark, Hadoop, Hive, and many AWS technologies.

How many people from the vendor's team worked with you, and what were their positions?

Approximately 15 engineers at junior and senior levels.

RESULTS & FEEDBACK

Can you share any measurable outcomes of the project or general feedback about the deliverables?

The team has produced continuous improvement to core services, such as an 80% reduction in costs for machine learning job chains, improvements in time to deploy, and improvements in product operations.

Describe their project management style, including communication tools and timelines.

The has excellent communication skills in video conferences, wiki, slack, or email.

What did you find most impressive or unique about this company?

I have known the founder of Montevideo Labs since 2009. Maximo Gurmendez is a brilliant engineer with an unparalleled work ethic. He has surrounded himself with a highly professional team. He has never stopped learning and improving himself and his team.

Are there any areas for improvement or something they could have done differently?

no

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 5.0 Cost
    Value / within estimates
    Great Value
  • 5.0 Quality
    Service & deliverables
    High Quality, Innovative, and Professional
  • 5.0 NPS
    Willing to refer