deployr Reviews (2), Pricing, Services & Verified Ratings

AI Development BI & Big Data Consulting & SI Custom Software Development
Machine Learning
+1
Confidential
Jan. 2022 - Ongoing

5.0

Quality: 5.0

Schedule: 5.0

Cost: 5.0

Willing to Refer: 5.0

"deployr considers our business success as their success."

Jun 18, 2025

CTO, Advertising & Marketing Company

Anonymous

Advertising & marketing
Chicago, Illinois
11-50 Employees
Online Review
Verified

deployr has developed machine learning (ML) pipelines and three ML models for an advertising and marketing company. The team has performed exploratory data analysis, attribute selection, and model deployment.

Thanks to deployr's work, the client has seen a 100% increase in response rate and a 25% increase in conversion rate. deployr excels at project management, delivering on time and being hyper-responsive. The team is also highly skilled, and their commitment to the project's success is outstanding.

BACKGROUND

Introduce your business and what you do there.

I’m the CTO of an advertising and marketing company. We help lenders and marketers find and convert high-intent borrowers by combining credit, property, and behavioral data with predictive AI models.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Deployr?

We needed help with the development of highly performing machine learning pipelines and model deployment.

SOLUTION

What was the scope of their involvement?

Deployr has helped us develop our ML pipelines (training, scoring, etc.) and three ML models. As part of the ML model development, they’ve performed EDA, attribute selection, and overall model development and deployment.

What is the team composition?

We work with four teammates from Deployr.

How did you come to work with Deployr?

We found Deployr through an ML operations chat community. We chose them because they were highly proficient in what they do. Not only did they excel at developing machine learning models, but they also had the infrastructure expertise to deal with extremely large datasets.

What is the status of this engagement?

We started working with Deployr in 2022, and we consider them a critical extension of our company. We’ve continued working with them on a permanent basis.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We’ve seen a 100% increase in response rate and a 25% increase in conversion rate.

How did Deployr perform from a project management standpoint?

Deployr’s project management is excellent. They deliver on time and are always hyper-responsive, even to last-minute emergencies. We primarily communicate via Slack and Google Meet.

What did you find most impressive about them?

In addition to their expertise, deployr considers our business success as their success.

Are there any areas they could improve?

No, there aren’t any.

RATINGS

5.0

"Highly recommended. Amazing talent"

AI Development BI & Big Data Consulting & SI DevOps Managed Services
Machine Learning
+1
Confidential
Jan. 2023 - Ongoing

4.5

Quality: 4.0

Schedule: 4.0

Cost: 4.0

Willing to Refer: 4.0

"They're a highly skilled team with a lot of bright minds."

Jul 29, 2024

CPO, Fibolabs

Lucas Palomeque

Financial services
Argentina
1-10 Employees
Online Review

A cryptocurrency trading company hired deployr to improve their machine learning pipeline. The goal was to increase their machine learning models.

The client deployed deployr’s models and coordinated a team around their work. They responded quickly and adequately to help figure out different kinds of ways to approach problems. Moreover, they were highly skilled and bright minds.

The client submitted this review online.

BACKGROUND

Please describe your company and position.

I am the Chief Product Officer of Fibolabs

Describe what your company does in a single sentence.

High Frequency Trading for Cryptocurrencies

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire deployr to accomplish?

Improve our Machine Learning Pipeline
Help Designing our Data Management
Deploy Machine Learning Models

SOLUTION

How did you find deployr?

Referral

Why did you select deployr over others?

Great culture fit
Good value for cost

How many teammates from deployr were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Data Pipeline Implementation:

- ETL Processes: Refinement and automation of data extraction, transformation, and loading processes.
- Infrastructure Optimization: Transition from manual to automated infrastructure using cloud services and best practices.
- Data Partitioning and Management: Efficient data partitioning and storage in S3, handling new data updates and integration.

ML Pipeline Development:

- Model Management: Implementing AWS SageMaker for model training, versioning, and deployment, including the use of SageMaker Pipelines and Docker integration.
- CI/CD Setup: Establishing continuous integration and deployment pipelines, utilizing GitHub Actions for task automation.
- Model Registry and Real-time Prediction: Creating a model registry and setting up endpoints for real-time predictions.

Monitoring and Maintenance:

- Automated Notification Center: Developing a system to notify stakeholders of processing job changes and potential issues using Notion and Slack integrations.
- Performance Monitoring: Setting up systems to monitor model performance, including drift detection and re-training triggers.

Team Training and Knowledge Transfer:

- Cloud and Infrastructure Training: Educating the team on cloud services and infrastructure management.
- Best Practices in ML and Data Engineering: Promoting code reviews, use of linters, and best practices in MLOps and software engineering.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

We deployed our ML models and coordianted a team around our work.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

They responded in a fast and proper time helping us figuring out different kinds of ways to approach our problems.

What was your primary form of communication with deployr?

Virtual Meeting

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

They're a highly skilled team with a lot of bright minds.

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

Improvements on how to approach a problem should be done but overall the experience was good. We got to understand how we could improve and organize the team around a common vision allowing us to unlock our data pipeline potential.

RATINGS

4.5

deployr

We drive your data projects forward

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