Java Development

Case Study

Leading Oil & Gas Company

Transforming Operations Through AI-Driven Solutions

Read the Case Study

Sparks & Honey

Behind every huge business win is a team win, a coalition win, and a technology win. So it is worth pointing out the teams, stacks, and packages we've been using to achieve low-latency and real-time GenAI on our 24/7 platform and live in our studios … and it all came together with a fantastic set of developers from Azumo.

Sparks & Honey
Saif Ahmed

SVP Technology

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

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.

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.

vCTO Solution Illustration

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.