EdgeConsulx

MACHINE LEARNING DEVELOPMENT SERVICES

Build custom ML solutions with experts trusted by 1500+ companies.

Looking for a partner with proven expertise? Our machine learning solutions power some of the world's top companies. Work with us to build everything from custom ML models to scalable multi-model systems.

AI Coding tools we use

Clutch

MACHINE LEARNING DEVELOPMENT SERVICES

No matter what you're building, we can help.

From data preparation to model deployment, our machine learning development services cover every stage of the ML lifecycle. Bring in our experts for projects involving natural language processing, computer vision, deep learning, and more.

  • Google Cloud Platform Partner
  • AWS Partner
  • ISO 27001 certified - Information Security Management System
Machine learning engineers collaborating on model architecture

AI Strategy & Architecture

Strong AI starts with smart architecture. Our ML experts work with your engineering and data teams to design scalable ML systems that fit your current tech stack and future growth plans.

We assess readiness and prioritize use cases based on feasibility and value. Then we design the architecture to support those priorities, from data flow to model deployment strategies. Our focus is to bridge the gap between business goals and technical execution so every component works for both ML experimentation and long-term production use.

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Machine Learning case studies

Hundreds of ML projects delivered.

From pilot to scale, we have the experience to build ML systems that deliver real value. It's why 500+ clients choose us as their machine learning development company.

LEGAL

Developed AI Tool to Summarize 10,000 Legal Transcripts Daily

Our client needed to automate the time-consuming task of summarizing lengthy legal transcripts. We built an AI tool capable of summarizing 200–300 pages in under 4 seconds. The tool anonymizes sensitive data, returns editable Word and PDF files, and includes hyperlinks to retain source visibility. It automatically segments text and feeds it into an NLP engine, significantly accelerating turnaround time.

  • .NET
  • OpenAI
  • SQL Server
  • Azure
  • C#
AUDIO AND VIDEO MEDIA

Automated GenAI Video Integration for HubSpot Campaigns

Our client uses AI-driven video technology to create personalized, localized videos at scale. They needed to connect their platform to HubSpot to automate video delivery in email campaigns. We developed a custom solution using Workflow Extensions and CRM Cards, enabling asynchronous video generation linked to individual contacts. A webhook system stores each video URL in a HubSpot field, streamlining distribution and eliminating manual steps.

  • Generative AI
  • AI-Driven Video
TECHNOLOGY

Built an IDE That Simplifies AI Pipeline Prototyping

This client is creating a development environment for building and testing AI pipelines with LLMs. We provided full-stack engineering support to improve performance, scale, and user experience. Our team worked on intuitive front-end components and scalable back-end services designed to handle experimentation and monitoring. These improvements helped simplify LLM pipeline prototyping and speed up iteration cycles.

  • LLM
  • Node.js
  • React
ENERGY & UTILITIES

NextRoll launches 100K ad auctions per second with the ML tech we built.

7-Year Engagement48 Senior Engineers10/10 NPS Score

NextRoll needed to hone its machine learning technology to automate and scale ad auctions. They brought in dozens of EdgeConsulx engineers to fill technical gaps and accelerate development. We embedded back-end developers, data scientists, and data engineers across 7 NextRoll teams.

  • Provided engineers with expertise in statistical tools
  • Scaled ML tech to serve 50B ad impressions per day
  • Increased customer acquisition by 60%
NextRoll

About EdgeConsulx

Why work with EdgeConsulx? We're trusted by the world's top tech teams.

EdgeConsulx is a US-based company powered by LATAM dev teams. Since 2009, we've built software for companies of all sizes—from scrappy startups to Fortune 500 giants. In fact, we're one of the fastest-growing software development companies in the world. If you're looking for onshore quality with nearshore benefits, we're the partner for you.

1250+

Projects Delivered

4000+

Developers On Staff

96%

Client Retention Rate

500+

Active Clients

Engineering teams collaborating across the Americas

How we work

Here's what makes us easy to work with and hard to replace:

From code quality to compliance, we've optimized every part of how we work to support high-performing engineering teams. For you, that means clearer communication and smoother delivery. Plus, get peace of mind from having a development partner you can depend on.

Vetted Senior Talent

We hire the top 1% of over two million applicants, so you only work with the best.

We give you engineers who've already proven they can deliver. Our rigorous evaluation process includes technical tests, English assessments, soft skill screening, problem-solving simulations, and more. Out of over 2 million applicants who apply yearly, fewer than 1% get the chance to join our team. This is how we ensure you get highly qualified developers who are experts in their fields.

Work with our machine learning design experts.

Talk to an expert

Flexible engagement models

Need ML development expertise?
Plug us in where you need us most.

We customize every engagement to fit your workflow, priorities, and delivery needs.

Staff Augmentation

Need a couple of extra software engineers on your team?

Get senior, production-ready developers who integrate directly into your internal team. They work your hours, join your standups, and follow your workflows—just like any full-time engineer.

Dedicated Teams

Need a few teams to deliver several projects simultaneously?

Spin up focused, delivery-ready pods to handle full builds or workstreams. Together we align on priorities. Then our tech PMs lead the team and drive delivery to maintain velocity and consistency.

Software Outsourcing

Want to offload everything to us, from start to finish?

Hand off the full project lifecycle, from planning to deployment. You define the outcomes. We take full ownership of the execution and keep you looped in every step of the way.

Kick off ML projects in 2-4 weeks.

We have reps across the US.

Speak with a client engagement specialist near you.

  1. Discuss solutions and decide team structure.

    Tell us more about your needs. We'll discuss the best-fit solutions and team structure based on your success metrics, timeline, budget, and required skill sets.

  2. Onboard your team and get to work.

    With project specifications finalized, we select your team. We're able to onboard developers and assemble dedicated teams in 2-4 weeks after signature.

  3. We track performance on an ongoing basis.

    We continually monitor our teams' work to make sure they're meeting your quantity and quality of work standards at all times.

Schedule a Call with Our Team

MACHINE LEARNING SOLUTIONS

Build with ML engineers who have experience in your industry.

We've delivered projects across 130+ industry sectors. You won't have to spend weeks getting us up to speed. Our engineers come in with a clear understanding of your industry's data complexity, compliance requirements, and unique needs.

Education

Use machine learning to personalize learning, boost student retention, and reduce instructor workload at scale.

Education

Build solutions for:

  • Personalized learning platforms
  • Intelligent tutoring systems
  • Automated grading and feedback
  • Student performance prediction
  • Curriculum development and content curation
  • Student engagement analysis
  • Language learning platforms
  • Educational content recommendation engines
  • Virtual assistants for student support
  • Talent identification and career guidance

AI Experts

Work with AI-augmented developers.

Every developer we provide uses modern AI coding tools to ship faster than ever while producing cleaner, more consistent code.

MACHINE LEARNING CAPABILITIES

We cover the ML stack (and everything around it).

As a top machine learning development company, we use a modern tech stack built for performance and scale, with a focus on proven tools. Our expertise spans 100+ technologies, so we're equipped to support your full roadmap: machine learning and beyond.

We design enterprise-grade data storage architectures that support versioning, lineage, access policies, and downstream reuse. From object storage to analytical warehouses, we give you data systems that support scale, transparency, and compliance.

AWS S3Google Cloud StorageAzure Blob StoragePostgreSQLMongoDBBigQuerySnowflakeDelta LakeDatabricksRedshift

Curious how we'd approach your ML project?

Talk to an expert

MACHINE LEARNING DEVELOPMENT PROCESS

How we deliver machine learning solutions that drive business value:

We've refined our machine learning services across hundreds of projects. Whether you need end-to-end execution or support for an internal team, we step in wherever you need us to move projects forward without friction.

1

Problem Definition

We work closely with stakeholders to understand the business context, clarify objectives, and translate them into problems machine learning can solve.

2

Data Collection

We identify, aggregate, and extract data from relevant sources. We make sure the data is accessible, sufficient, and ready to support robust model training.

3

Data Cleaning and Preprocessing

We prepare raw data for modeling by handling missing values, duplicates, and inconsistencies. This improves data quality and helps the model learn meaningful patterns.

4

Exploratory Data Analysis

We analyze the data to uncover patterns, outliers, and relationships that guide feature engineering and model strategy. This helps us spot issues early and refine the approach.

5

Feature Engineering

We create and refine the input variables used to train the model. This includes building new features, combining existing ones, and removing noise to improve performance.

6

ML Model Selection

We choose the most appropriate ML algorithm and model type based on your data, goals, and constraints. Our team considers trade-offs between speed, accuracy, and interpretability.

7

ML Model Training

We train the selected model on your prepared data, fine-tuning it using proven techniques. Our engineers build scalable pipelines that avoid overfitting and maximize learning.

8

ML Model Evaluation

We test the trained model on unseen data to assess accuracy, reliability, and real-world performance. This validates that the model is ready for deployment.

9

ML Model Tuning

We optimize the model's hyperparameters using structured search techniques. This tuning process helps improve performance without sacrificing generalization.

10

Deployment

We package and deploy the trained model in a production environment, such as a REST API or cloud function. We handle integration, versioning, and security.

11

Monitoring and Maintenance

We set up performance monitoring to track accuracy and detect drift. Our team also handles retraining and updates to keep your ML model effective over time.

What tech leaders ask about our ML development services:

We've worked on a wide range of projects, including ML-powered predictive analytics, recommendation engines, natural language processing (NLP) engines, computer vision, intelligent automation of business processes, and more.

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Strengthen your delivery roadmap by pairing ML with adjacent services, industry expertise, and technology capabilities.

Accelerate machine learning development and delivery with our top-rated nearshore teams.

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