Azure AI & ML Consulting Services

Addend Analytics can help you harness your data using Azure AI & Machine Learning Consulting Services.

Provide data scientists and developers with a diverse set of productive experiences that will allow them to create, train, and deploy machine learning models while also fostering team collaboration. Reduce time to market with industry-leading MLOps—machine learning operations, also known as DevOps for Machine Learning. Innovate on a safe, trustworthy Microsoft platform built for responsible machine learning.

Services Offered by Addend Analytics

Azure Applied AI Services

  • To solve for typical cases, modernise corporate processes with task-specific AI.
  • Accelerate development with built-in business logic, allowing you to implement solutions in days rather than months.
  • Run responsibly from the “Cloud” to the intelligent edge with 100% Microsoft security.

Azure Cognitive Services

  • With the most extensive array of domain-specific AI capabilities on the market, you can easily access complex AI models.
  • Formulate confidently with the first AI services to attain human parity in computer vision, voice, and language.
  • Containers can be deployed anywhere, from the cloud to the edge.
  • Get started quickly—no prior knowledge of machine learning is required.

Azure Machine Learning

  • Jupyter Notebook, drag-and-drop designer, and automated machine learning are among the tools available for development.
  • Using automated and reproducible machine learning workflows, create and deploy models at scale.
  • Innovate responsibly with a rich set of built-in responsible capabilities that will assist you in understanding, protecting, and controlling data, models, and processes.
  • Best-in-class support for open-source frameworks and languages such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

AI Infrastructure

  • Access large-scale infrastructure with hyper-clusters of thousands of cutting-edge GPUs, which provide AI accelerations that are interconnected with the latest high-bandwidth networks within each server.
  • Azure Arc-enabled Kubernetes enables hybrid and multi-cloud deployments.
  • With specialised hardware like as FPGAs, the most comprehensive collection of GPUs, and an array of general-purpose CPUs, you can access a wide range of AI gear.

Components of AI

Machine Learning

Only Microsoft Azure provides you with cutting-edge machine learning capabilities. Addend Analytics can help you build, train, and deploy machine learning models quickly and easily with Azure Machine Learning and Azure Databricks. We will also help you utilize cutting-edge technologies such as Jupyter and Visual Studio Code, as well as frameworks such as PyTorch Enterprise, TensorFlow, and Scikit-Learn. With low-code and no-code tools like automated machine learning and a drag-and-drop interface, you can expand your data science teams and generate models faster. In addition, using ONNX Runtime, you can simply deploy at scale using Azure Kubernetes Service (AKS) and maximise machine learning inference.
Azure ETL Service
Azure AI & ML Consulting Services

Mining for Knowledge

With Azure Cognitive Search, you can discover hidden insights in all of your content—documents, photos, and media. Discover patterns and relationships in your content, understand sentiment, extract important terms, and more by using the only cloud search engine with built-in AI capabilities.

Apps powered by Artificial Intelligence

With Cognitive Services and Applied AI Services, you can create game-changing experiences in your apps. Access industry leading AI models that are being used today by millions in products such as Office 365, and Bing. You can customize these models with your own data and deploy anywhere. These functionalities are only available through Azure.
Azure AI & ML Consulting Services
Azure AI & ML Consulting Services

Virtual Agents

Use Azure Bot Service to develop intelligent bots to enhance your apps—from customer support and employee productivity bots to branded virtual agents. Use natural language and speech to deliver immersive experiences and publish your bot wherever your customers are with minimal code changes.

AI Use Cases by Industry

Financial Services

Modernize Finance Operations and Combat Crime

Mitigate Financial Crimes

Prevent fraud through machine learning models that detect anomalies, improve knowledge graphs to discover linkages between distant entities, and detect suspicious behaviour in financial systems.

Enhance the Customer Experience

With intelligent contact centres, personalised portfolio management, and pre-emptive offers enabled by AI, you can better understand your clients and improve their experiences.

Upgrade Core Banking Components

With form recognition and natural language processing, banks can automate processes and gain insight from unstructured data, and utilise AI to power faster, more efficient, and secure operations.


Improve Operations throughout your Supply Chain

Automate Quality Control

Using AI-enabled visual to cut costs, eliminate defective items, and enhance your bottom line, you can improve the efficiency and accuracy of your quality inspection.

Maintain your Home on a Regular Basis

Detect failures and root cause patterns in operational data and construct predictive models to help you anticipate future problems and reduce downtime for your mission-critical systems.

Increase Worker Safety

Use specialised AI models to detect risks or safety violations and send out alerts for immediate action.


Transform Retail Operations

Enhance the Customer Experience

Machine learning can be used to study customer trends and patterns and to build campaigns and experiences that deliver the best return on investment for the business while also providing differentiated value to customers.

Improve Client Service

Use AI-powered virtual agents to handle high-volume customer support queries and gain insights into consumer sentiment to enhance operations and increase responsibility.

Improve Stock Replenishment

Use spatial analysis to identify in-store aisle hotspots, improve product placement and consumer flow, and gain real-time insight into checkout lines with long queues or dwell times.


Deliver health data insights to enhance predictive and tailored care,
accelerate scientific discovery, and improve health outcomes.

Allow for Predictive Care

Personalize patient care by granting patients access to the health data they require to receive the appropriate care at the appropriate time.

Enhance Operational Outcomes

Digitize unstructured health papers to enable knowledge mining, the extraction of actionable data, and the examination of health insights at scale.

Increase the Rate of Innovation

Accelerate clinical research and scientific innovation with AI to improve care delivery, drug discovery, diagnosis, and therapy modernization.

Top Reasons to consider Addend Analytics for Azure AI/ML Consulting

Azure AI/ML Consulting Services FAQs
What is Addend Analytics’ expertise?
Addend Analytics is a Microsoft Gold Partner based in Mumbai, India, and a branch office in U.S. We have successfully implemented 15+ global companies to harness their data using Microsoft Azure AI/ML projects across U.S., Europe, and Australia.
How much does it cost to leverage Azure AI/ML consulting services?
Our rates are typically around $40 per hour for a typical small and medium-sized upgrade and go even lower for the longer projects.
How much time will it take for any AI/ML projects?

AI/ML projects range typically from 30 days to even 6 months! Once we analyse your project scope and requirements, we can give you the estimates and timeline required for it. Please email your requirements at

How do I contact you?

Please email your requirements at and we will get back to you.