Artificial Intelligence Development Services

We scale AI projects with experienced software developers

We design, develop, deploy, and staff AI, Generative AI and machine learning software projects with our nearshore team, allowing you to build intelligent apps using large language models and machine learning frameworks.

A few of the 100+ Companies We Have Worked With . . .

We Have Extensive Experience Building Solutions in AI

We've developed and deployed AI-powered solutions that enhance business intelligence, automate workflows, and optimize operations. Our expertise in OpenAI's models and generative AI has enabled us to build scalable, high-impact applications for diverse use cases.

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Our AI-driven solutions empower organizations

Automate research, search, and content analysis.

Optimize decision-making through real-time AI insights.

Improve operational efficiency with intelligent automation.

Scale AI-powered capabilities across enterprise use cases.

Some of Our AI Development Projects

Assistants for Research & Content Discovery

  • Intelligent AI Assistants: Built real-time AI-driven hosts that interact with users, retrieve live insights from various sources, maintain conversation context, and enhance digital experiences.
  • Automated Knowledge Discovery: Designed AI systems that analyze massive datasets consisting of hundreds of millions of datapoints, summarize key findings, detect patterns, and surface relevant insights based on user preferences and historical interactions.
  • Emerging Trends Identification: Developed AI-driven tools that group related data points, score cultural and business trends, and map evolving patterns over time to help organizations make forward-looking decisions.

RAG Based Decision Support Systems

  • Enterprise Search & Retrieval: Engineered a custom Retrieval-Augmented Generation (RAG) system with sophisticated scoring models, enabling efficient and context-aware knowledge retrieval.
  • Automated Proposal Generation: Created AI-powered pipelines that streamline RFP responses by synthesizing structured and unstructured data from internal knowledge bases, public sources, and industry insights.
  • Multi-Agent AI Chat Systems: Built AI-powered chat frameworks that allow users to interact with specialized agents within a single conversation, enabling deeper and more efficient problem-solving.

Field Operations and Intelligent Optimization

  • Real-Time Optimization Algorithms: Designed machine learning pipelines that prioritize dynamic workflows based on live operational data, balancing efficiency and compliance requirements.
  • Predictive Modeling for Resource Planning: Developed forecasting models that leverage historical trends and real-time inputs to improve scheduling and allocation of critical resources.
  • AI-Driven Anomaly Detection: Implemented systems that filter high-volume alerts, distinguish between critical and non-critical events, and reduce noise for better operational focus.
  • Contract-Aware Decision Systems: Built AI-powered decision frameworks that integrate business rules and contractual obligations into real-time operational planning.

Multi-Modal Data Processing and Analysis

  • Multimodal Parsing Engine: Developed a parsing library that extracts structured data from documents, images, and audio, making unstructured information more accessible and actionable.
  • Entity Recognition & Data Enrichment: Built AI models that identify key entities in large datasets, correlate them with external sources, and provide contextual insights for decision-making.

Scalable Deployments for Enterprise Adoption

  • AI Agent Infrastructure: Designed and deployed LLM-powered AI agents capable of learning from industry-specific data, adapting to different user needs, and scaling across teams.
  • Efficient AI Workflows: Developed scalable AI models with modular architectures, enabling rapid adaptation to new business challenges and evolving datasets.

Our Artificial Intelligence Software Development Services

Our work spans model selection and implementation, data labeling, model training and optimization, and production deployment. We have built custom Generative AI solutions using Open AI, Anthropic, Mistral, LLAMA and more.

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Staff Your AI Project with Our AI Software Development Team

Our track record developing AI solutions helps us attract the best developers seeking to build in AI. We can help you proof, develop, harden, and maintain AI based solutions.

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AI Architect

Designs AI systems and frameworks tailored to the customer’s needs.

ML Engineer

Designs and deploys machine learning models, enabling automation for routine or complex business processes.

Data Engineer

Builds and optimizes data pipelines and architectures, ensuring seamless data flow and accessibility for analytics and business operations.

Data Scientist

Develops algorithms and models for machine learning and predictive analysis.

MLOPs Engineer

Ensures smooth deployment and management of AI models in production environments

NLP Engineer

Specializes in natural language processing for AI-powered text and speech systems

Our Fullstack AI Development Services Expertise

We develop custom enterprise-grade AI and Machine Learning solutions. We have expertise across an ecosystem of over 500 models, libraries, and frameworks to build Generative AI solutions. We have deployed a host of machine learning models into production since our founding.

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Our AI Software Development Process

We develop custom enterprise-grade AI and Machine Learning solutions. From model selection, to data labeling, to deployment, we can help you design and develop custom AI solutions platforms that are tailored specifically to your needs.

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Illustration of the Generative AI software development process
STEP 1
Model Selection and Implementation
STEP 2
Data Labeling
Step 3
Model Training
Step 4
Model Optimization
Step 5
Deployment to Production
STEP 1

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.

STEP 2

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

STEP 3

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.

STEP 4

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.

STEP 5

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.

Case Study

Highlighting Our AI Development Expertise:

Explore how our customized outsourced AI based development solutions can transform your business. From solving key challenges to driving measurable improvements, we use Generative AI to drive results.

more case studies

Leading Oil & Gas Company

Transforming Operations Through AI-Driven Solutions

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Our AI and Software Development Case Studies

Why Customers Choose Azumo

Generative AI Enterprise Search

Read the Case Study

AI-Powered Skill for Alexa and Google Home

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Creating Exclusive Event Experiences

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Leaders Trust Our AI Development

We invest in our nearshore software engineers and it shows.

See our work
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Stovell Research

We’ve been working with Azumo since our founding. Their team has been great to work with. We built out a massive AI based data platform with their help. They can handle just about anything.

Stovell AI Systems
Jim Stovell
Founder, CEO
Discovery Channel

The work was highly complicated and required a lot of planning, engineering, and customization. Their development knowledge is impressive.

Discovery Channel
Costa Constantinou
Senior Product Manager
Facebook

They know a lot about the products they build on and were very responsive. Their project manager broke down barriers and explained all the intricacies of the custom software development effort in a way that was easy to understand.

Facebook
Jason Trimiew
Group Head
Photo image of an Azumo customer extolling the benefits of Azumo's services

Why Azumo for AI Software Development

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.

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Industry Experts

Businesses across industries trust Azumo. Our expertise spans industries from healthcare, finance, retail, e-commerce, media, education, manufacturing and more.

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Time-Zone Aligned

Enjoy seamless collaboration with our time zone-aligned developers. Collaborate, brainstorm, and share feedback easily during your working hours.

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Boost Velocity

Increase your development speed. Scale your team up or down as you need with confidence, so you can meet deadlines and market demand without compromise.

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Agile Approach

We adhere to strict project management principles that guarantee outstanding software development results.

Quality Code

Benefits from our commitment to quality. Our developers receive continuous training, so they can deliver top-notch code.

Flexible Models

Our engagement models allow you to tailor our services to your budget, so you get the most value for your investment.

Frequently Asked Questions about AI Development

Q:

What AI services does Azumo offer?

Azumo's offerings encompass the entire AI development lifecycle, from selecting optimal models and tools for specific tasks, ensuring data quality to employing rigorous training methodologies to enhance model performance.

Q:

How does Azumo approach AI development?

Our process is deeply technical, involving data annotation, algorithm selection based on the specific use case, rigorous model training with high-quality data, and iterative model refinement for peak performance. We’ve been building, deploying and working with AI-based models since our inception in 2016 to solve all kinds of business problems for our customers.

Q:

Can Azumo integrate AI into existing applications?

Azumo specializes in embedding AI models into existing systems or creating new, bespoke applications designed around the AI model's capabilities.

Q:

What technologies does Azumo use for AI development?

We utilize a vast ecosystem of over 500 models, libraries, and frameworks, including Python, PyTorch, TensorFlow, OpenAI's ChatGPT and more. In reality there is a gigantic ecosystem of technologies to choose from when developing an AI-based solution. Let us work with you to figure out the best tools for your use case.

Q:

Why choose Azumo for AI development?

Opting for Azumo means partnering with a firm that not only has a deep technical foundation in AI but also adopts a forward-thinking approach to project delivery to ensure the deployment of a high-quality AI-based solution.

Q:

Why choose Azumo for AI development?

Opting for Azumo means partnering with a firm that not only has a deep technical foundation in AI but also adopts a forward-thinking approach to project delivery to ensure the deployment of a high-quality AI-based solution.