Our simple migration process uses a step-by-step approach to ensure compliance requirements are delivered and financial targets are met, meanwhile our innovative solutions help you develop and deliver new industry standards.


Whether you are moving virtual machines, physical-to-virtual or individual applications, we will identify and recommend the best method for your organization and perform all the necessary configurations to have your company up and running in no time.

Lift & Shift

There are various approaches to cloud migration and one of the most popular approaches is Lift & Shift. This method is the fastest way to migrate your workload to the cloud, as it allows us to replicate your in-house applications, without spending additional time and money redesigning it.


Replacing your existing application or set of applications with a proprietary SaaS solution is another option for cloud migration. This option will help you avoid mobilizing a development team when requirements change and ensures you have an expert SaaS provider monitoring and capitalizing on your company’s group behaviors over time.


This approach to cloud migration can offer the best of both worlds. In this scenario, your company may have an existing application or website that has some features we can use, and some we can modernize for Azure. These modifications can include changing the application’s configuration, making use of familiar languages and frameworks, updating an existing codebase to meet cloud goals or re-architecting the application for new software.


From machine learning and application development to actionable business intelligence and big data, we offer the state-of-the-art solutions and support you need to set new industry standards and drive innovation in your business marketplace.

Internet of Things (IoT)

Our IoT cloud platform solutions help you easily and securely interact with cloud applications and other devices. Designed for high volumes of data and messages, our IoT solutions can process and route information to other devices reliably and securely and communicate with all other company devices, even when they are not connected.

Machine Learning

Azure Machine Learning (ML) is a fully managed cloud service that enables you to easily build, deploy and share predictive analytics solutions within your company. Put simply, ML applies statistical techniques to help you determine patterns within large amounts of data, enabling you to find the best pattern to solve your problem.

Big Data Science & Analytics

Build big data analytics applications quickly and easily with Hanu. Our Big Data Science & Analytics services provide quick and flexible access to IT resources such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL and IoT processing.

Business Intelligence (BI)

Azure Business Intelligence (BI) services help you turn complex data into actionable analytics and reports that will provide real-time information into your business. Whether your data is cloud-based or on-premise, we have the connectivity and integration to turn your BI into actionable insights that will drive real results for your company.

SaaS & PaaS

At Hanu, we offer a variety of cloud development models including Software as a Service (SaaS) and Platform as a Service (PaaS). Representing the largest cloud market, SaaS uses the web to deliver applications managed by third-party vendors and eliminates the need to install and run applications on individual computers. This makes it easy for enterprises to streamline maintenance and support. PaaS services are used for applications and other developments, while providing cloud components to software and frameworks for custom applications.

Application Development

Our Application Development services help developers build, host and scale custom web, mobile, logic and API applications through Microsoft datacenters. As Microsoft’s preferred Microsoft Azure early adoption Systems Integration Partner, Hanu has helped customers like you develop and migrate new custom applications to the cloud.