AI Software Development Services

We have successfully developed Generative AI and ML solutions nearshore for our customers using large language models and machine learning frameworks since 2016.

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Our Artificial Intelligence Development Services

Our work spans model selection and implementation, data labeling, model training and optimization, and production deployment.

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Photo image of an Azumo customer extolling the benefits of Azumo's services

They developed several Amazon Alexa Skills and Google Assistants Apps, which distribute our content throughout those platforms, using proprietary technologies. The work was highly complicated and required a lot of planning, engineering, and customization. Their development knowledge is impressive.

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

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 Trainng

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.

Tech Stack We Use to Deliver Top-Notch AI Development Services

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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AWS

Anthropic

Databricks

Datastax

Google Cloud

Haystack

Hugging Face

LLaMA

Microsoft Azure

OpenAI - ChatGPT

Pinecone

Python

Streamlit

Weaviate

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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