Trusted by Meta, Wolters Kluwer, Discovery
Build and Deploy AI Solutions that Deliver Measurable Results
Create AI-based workflows, Improve Ops efficiency by 40%
Augment Your Business with LLM-driven Solutions
Staff Your AI team with Top-Rated Nearshore ML Engineers
Protect Your Data with SOC 2 Compliant development
Azumo's team brought deep expertise in model training and deployment. They delivered a production system that handles scale we couldn't achieve in-house
We scale AI projects with experienced AI developers
Developed
Solutions for
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Build Your Path to AI with Azumo's Proven AI Development Process
We staff expert AI Software developers who can design, develop, and deploy your AI solutions, allowing you to build intelligent apps using the best LLMs and machine learning frameworks for your project.
Requirements Discovery
We analyze your requirements and data, then map out the solution architecture. This includes evaluating your existing infrastructure, identifying data quality issues, and selecting the optimal model architecture.
Software Development
Our engineers build and train your models. We implement custom RAG pipelines, fine-tune models on your data, and build agentic systems that integrate with your workflows.
Deploy & Support
We deploy, set up monitoring, and provide ongoing support. You get real-time performance tracking, automated retraining pipelines, and production-ready AI.
Top Rated for AI and Machine Learning for 5 years and Running
Why Hire Our AI Developers
Our developers are not freelancers and we are not a marketplace. We take pride in our work and seat dedicated Azumo engineers with you who take ownership of the project and create valuable solutions for you. And this is how:
First Touch Deep Dive
A Pre-Kickoff Technical and Strategic Review
A Complete Team
We Deliver More Than a Developer
Proactive Management
Daily Stand-ups & Weekly Reviews
Built-in Redundancy
Our 'Bench Strength' Protocol
Leaders Prefer Us for AI Development
We staff expert AI Software developers who can design, develop, and deploy your AI solutions, allowing you to build intelligent apps using the best LLMs and machine learning frameworks for your project.
24/7
40%
+90%
Their team consistently brings thoughtfulness, professionalism, and ownership, making them a valued extension of our internal team.
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We selected Azumo partly because of the time zone similarity. That proved to be a boon. Via Teams, our firm and Azumo were in near constant communication. Azumo has always been responsive and able to move quickly within their organization when they needed to adjust skill sets.
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Behind every huge business win is a technology win. So it is worth pointing out the team we've been using to achieve low-latency and real-time GenAI on our 24/7 platform. It all came together with a fantastic set of developers from Azumo.
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Watch how Azumo built a better supplier search engine using GPT2
Our AI Developers Experience Span the Major Fields of Artificial Intelligence
We can staff artificial intelligence developers who can work with you for model selection and implementation, data labeling, model training and optimization, and production deployment. We have built custom LLM solutions using OpenAI, Anthropic, Mistral, LLAMA, Langchain and more.
Agentic AI
Automate decision‑making and routine workflows with autonomous AI agents, boosting operational efficiency by ~40 % and freeing your team from repetitive oversight.
Computer Vision
Run operations around the clock with AI‑powered vision that detects defects up to 90 % better and reduces false rejects by +40 %, saving waste and minimizing downtime.
Generative AI
Scale content creation effortlessly. Teams using our generative AI report up to 10x more output while cutting production costs by 30 % or more.
LLM Fine Tuning
Boost model accuracy by +20 % with domain‑specific fine‑tuning so your team spends less time editing and more time delivering value.
LLM Model Evaluation
Cut model‑selection cycles and rollout risk by quickly identifying the best AI model for your needs, ensuring every deployment meets your performance benchmarks.
MLOps
Operationalize ML models efficiently with best practices that speed up training cycles 4x and slash infrastructure costs by as much as 75 %.
Model Context Protocol Development
Build modern MCP servers that connect AI agents to your enterprise data. Standardized context protocols streamline integration and cut development time for complex AI workflows.
Natural Language Processing
Turn unstructured text into actionable insights; our NLP solutions cut processing time by 90 % and improve accuracy by 25 %, allowing your teams to focus on strategic work.
Retrieval Augmented Generation
Deliver accurate, context‑aware answers by grounding large language models in your verified data, boosting answer accuracy by 40 % and achieving +90 % precision on domain‑specific queries.
Our AI Development Service Models
We offer flexible engagement options tailored to your AI development goals. Whether you need a single AI developer, a full nearshore team, or senior-level technical leadership, our AI development services scale with your business quickly, reliably, and on your terms.
Requirements Discovery
De-risk your AI initiative from the start. Our Discovery engagement aligns business objectives, tech feasibility, and data readiness so you avoid costly rework later.
POC and MVP Development
Prove value fast. We build targeted Proofs of Concept and MVPs to validate AI models, test integrations, and demonstrate ROI without committing to full-scale development.
Custom AI Development
End-to-end AI development tailored to your environment. We handle model training, system integration, and production deployment backed by top AI engineers.
AI Development Staffing
Access top-tier AI developers to fill capability gaps fast. Our vetted engineers plug into your team and stack, helping you meet delivery goals without compromising quality or velocity.
Dedicated AI Development Team
Build an embedded AI Development team that works exclusively for you. We provide aligned, full-time engineers who integrate with your workflows and own delivery.
Virtual CTO Services
Our Virtual CTO guides your AI development strategy, ensures scalable architecture, aligns teams, and helps you make informed build-or-buy decisions that accelerate delivery.
We Staff Your Software Projects with AI Experts
Our track record developing AI solutions helps us attract the best developers seeking to build in AI. As an AI expert We can help you proof, develop, harden, and maintain AI based solutions.
AI Architect
Designs AI systems and frameworks tailored to the customer’s needs.
Data Engineer
Makes sure your data is clean, accessible, and ready for insights.
Data Scientist
Develops algorithms and models for machine learning and predictive analysis.
ML Engineer
Designs and deploys machine learning models, enabling automation for routine or complex business processes.
MLOps Engineer
Ensures smooth deployment and management of AI models in production environments
Prompt Engineer
Specialists in natural language processing and LLM prompting
We Have Extensive Experience Building Solutions and Staffing Teams in AI
We've developed and deployed AI-powered solutions that enhance business intelligence, automate workflows, and optimize operations. Our expertise with OpenAI's models and other foundational LLMs has enabled us to build scalable, high-impact applications.
Web Application Development. Designed and developed backend tooling.
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Developed Computer Vision Solution for Data Extraction and Processing
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Built AI Chatbot. Uses RAG on Demand. Can Train Domain-Specific Model.
Built AI Assistant. Retrieve live insights. Maintains context across sessions
Developed Generative AI Voice Assistant for Gaming. Built Standalone AI model (NLP)
Designed, Developed, and Deployed Automated Knowledge Discovery Engine
Designed and Developed Semantic Search Using GPT-2.0
Designed Developed AI Based Operational Management Platform
Conversational Design and Prompt Engineering Staffing.
Build Automated Proposal Generation. Streamline RFP responses using Public and Internal Data
AI Driven Anomaly Detection
Built Robust Generative AI Based Solutions for Divining Cultural Data Trends
Case Study
We Have Extensive Experience Building Solutions in AI
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We Have Real World AI Deployments Running in Production
Our strong foundation in AI development, coupled with our deep commitment to innovation sets us apart. Our AI development process ensures rapid delivery and the ability to take advantage of the growing AI ecosystem.
Built solution to automate research, search, and content analysis.
Created data driven platform that automates decision-making from real-time AI insights.
Improved customer support and operational efficiency with AI tooling.
Scaled AI-content generation capabilities across a large marketing agency.
Our AI Developers Cover the Entire AI Stack
As an AI expert, we have expertise across an ecosystem of over 500 models, libraries, and frameworks.
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Model Selection and Implementation
Our data scientists will work with you to either build a machine learning model from scratch or select a pre-trained model that is suitable for your project. We will handle the implementation of the model using a programming language like Python.
Data Labeling
Data preparation is a fundamental aspect of every AI model. Prior to training the machine learning model, we will meticulously label your data. This pivotal step entails assigning a class or label to a subset of your dataset and makes it ready for data analysis
Model Training
Our machine learning engineers will train your ML model using your labeled dataset. We will adjust the model's parameters to minimize the error between the predicted labels and the true labels.
Model Optimizaton
After the initial training is complete, our data scientist will work with you to iterate on the training process and try different techniques to improve the model's accuracy. This may include adjusting the model's hyper parameters or using different AI techniques for preprocessing the data.
Deployment to Production
Once the model is performing to your satisfaction, our team will assist with deploying machine learning models to production. This may involve integrating the model into an existing application or building a new application specifically designed to use the model.