Aspire Systems

Overview
HQ Location
India
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Year Founded
1996
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Company Type
Private
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Revenue
$10-100m
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Employees
1,001 - 10,000
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Website
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Company Description
Aspire Systems is an Outsourced Product Development firm committed to helping our customers build software products better and faster. We work with some of the world's most innovative Independent Software Vendors and software-enabled businesses, ranging from start-ups to established industry leaders, transforming the way software is built.
Our approach to product development is based on the pioneering concept of Producteering that we have evolved and refined through years of product-building experience. Producteering is a set of Principles and Practices, driven by the right People and supported by the right Platform. Producteering, when applied rigorously, will always result in well-engineered, high-quality software.
Our approach to product development is based on the pioneering concept of Producteering that we have evolved and refined through years of product-building experience. Producteering is a set of Principles and Practices, driven by the right People and supported by the right Platform. Producteering, when applied rigorously, will always result in well-engineered, high-quality software.
IoT Solutions
AURAS
Disconnected systems, processes and technologies have become an Achilles heel, holding back the organization from connecting with the emerging forces of the Digital Business. A number of businesses are still suffering from poor integration practices, stalling their organization from delivering on their Digital promise.
To help every enterprise achieve its digital initiatives swiftly, Aspire has built AURAS, a best-of-breed integration solution accelerator which connects all the data, applications and systems across the hybrid IT landscape and helps to accelerate business agility.
Disconnected systems, processes and technologies have become an Achilles heel, holding back the organization from connecting with the emerging forces of the Digital Business. A number of businesses are still suffering from poor integration practices, stalling their organization from delivering on their Digital promise.
To help every enterprise achieve its digital initiatives swiftly, Aspire has built AURAS, a best-of-breed integration solution accelerator which connects all the data, applications and systems across the hybrid IT landscape and helps to accelerate business agility.
Subsidiary
IoT Snapshot
Aspire Systems is a provider of Industrial IoT infrastructure as a service (iaas), analytics and modeling, functional applications, and sensors technologies, and also active in the equipment and machinery, finance and insurance, healthcare and hospitals, renewable energy, and retail industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Aspire Systems’s Technology Stack maps Aspire Systems’s participation in the infrastructure as a service (iaas), analytics and modeling, functional applications, and sensors IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.

Case Study
Architected and Implemented a Data Lake for a Big5 Consulting Firm
The customer was looking to digitize their business operations. As a part of that, they were in need of a partner to do a technical proof of concept on Cortana analysis suite (CAS’s) data lake set of offerings. Some of the needs were:Bring in data from multiple cloud tenants into a single locationRun Descriptive and Predictive Analytics on those dataEstablish a regular schedule as well as data organization for the aboveNeed for one consolidated version of data points

Case Study
The Biggest Challenge for FinTechs Worldwide
Among FinTechs globally, 81 percent have reported data to be their biggest technical challenge. These data issues are split between leveraging data for AI-ML (faced by 41 percent) and connecting to customer applications and data systems (faced by 40 percent). More data issues faced by FinTechs are security (40 percent) and deployment in multiple clouds (39 percent).The consequences of data issues faced in leveraging data for AI in deriving valuable insights is trouble faced to innovate further due to a lack of clear picture about the type of products and services that customers require and about the businesses themselves. The lack of ability to connect to customer applications directly impacts the user experience and the ability to offer their present products to the wider customer base.Also, the consequences include the inability to secure partnerships with incumbent banks, and the more serious one of a lack of regulatory compliance. The above two consequences could bring into question the aspect of survivability and data issues at the root of them should be solved before they take effect.

Case Study
Reduced 50% Operational Cost
The client had implemented Oracle Retail Applications for business activities such as merchandising, planning, stores, and warehouse management. Financial requirements were taken care of by EBS. The solutions were deployed on cloud services such as Oracle Linux, IBM, and AWS cloud.The challenges are s follows:Lack of high availability for applications and databases, which affected the operational performanceDifficulty to scale and handle traffic spikes and loadsNeed to complete migration before the expiration of on-premises licensesLack of robust security with on-premises infrastructureIneffective management of cost and resourcesUpgradation of OS, database, and server versions along with migration

Case Study
Application Re-architecture and DevOps on Cloud
The client was using a monolith architecture-based application and suffered from a lack of agility with complex interdependencies. They had been practicing extensive manual testing and strived to keep release on track. With their outdated framework, it became a huge task to adopt a new framework and to implement continuous deployment which required the entire application to be redeployed.

Case Study
Continuous Support and Monitoring of AKS
The client needed help with Azure Cloud Services and also requested continuous support and monitoring of their Azure Kubernetes Service. The client faced several issues including unavailability of application for 30 minutes during AKS update and also required a solution to fix their AKS vulnerability. They also wished to reduce their turnaround time by implementing Azure best practices.The other issues they faced included lack of support for on-premise systems, complex deployment in CPT and their PDMS application involving AI/ML, redundant storage accounts and application service plans, not enough pods available, and inefficient pod deployments.
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