Set against this backdrop, MindTelligent Technology Solutions, a systems integration company, steps in with its single unified Internet of Things (IoT) platform. This is instrumental in streamlining the data coming from disparate devices and applications. The company’s IoT platform is catered to various industries such as healthcare, automobile, utilities and more.
With the help of MindTelligent’s data pipeline framework, organizations can build intelligence around the data that is captured and migrated to the cloud, hybrid, and other on-premise platforms. “Our objective is to offer our customers flexibility in their decisions to use any tool to garner meaningful insights from the data that has been captured,” says Harvinder Singh, CEO & Chief Architect of MindTelligent.
The company also offers consulting services, which include installing the product or architecture on the cloud or on-premise at the client’s side. “Our advisory services are proven and have a great success rate in delivering return on investment of technology,” emphasizes Singh.
The niche business of MindTelligent also includes enterprise integration, which involves unique development of custom Extract Load Transform (ELT) platforms using its data flow pipeline for real time applications over conventional batch jobs tools.
The platform can run on any cloud platform, such as AWS, GCP, Azure or Spring Cloud. The company has built a compliant and secured layer between devices and cloud platforms, and from cloud to other cloud applications that are on-premise. “We also build federated identity around the data to establish a complete customer authentication and authorization process that provides end to end security,” says Singh. For instance, in the healthcare sector, the data flow pipeline abides by HIPAA compliance to ensure safe transmission of sensitive patient data.
MindTelligent also addresses the big data challenges associated with analysis of data streams coming from diverse sources in a variety of different formats.
Our objective is to offer our customers flexibility in their decisions to use any tool to garner meaningful insights from the data that has been captured
As a first step, MindTelligent’s platform analyzes and understands the data present in the client’s system. As the platform has built-in connectors, it can integrate with most of the legacy platforms. Subsequently, using automated transformation, the platform collects the data in the latest format.
Moreover, MindTelligent offers customization. This is where the consulting arm comes in, and involves installing the developed products, technology, or architecture at the client’s side.
When it comes to digitalization, the company has partnered with several big players like Oracle Confluent, and Microsoft. For example, MindTelligent specializes in Oracle Data & Cloud Integration Platform, MuleSoft’s Anypoint Platform, and Confluent using Kafka, which assists in addressing digitalization of business processes.
For data sciences and analysis, in order to integrate the data with different sources, MindTelligent provides hybrid, full stack, and half stack solutions heavily revolving around Oracle and MuleSoft. Additionally it provides solutions for cloud technologies such as Oracle cloud platform, Oracle Middleware as a Service, and MuleSoft solutions around the MuleSoft Anypoint connect platform. MindTelligent has also developed its in-house caching technology that can be deployed on cloud and on-premise using APIs which capture frequent data and manage the cache. It addresses data analytics by building caches in order to quickly enrich the unclear data from a legacy source.
Beyond that, MindTelligent performs Electronic Data Interchanges (EDI) transactions with its platform, additionally specializing in Business-to-Business (B2B) with Oracle and MuleSoft. As different countries use different data EDI formats like X12, HL7, EDIFACT and more, MindTelligent’s platform sends the information across in the required format.
MindTelligent’s strategic plan for the future is to integrate novel features by adopting the best-of-breed technologies for their solutions’ improvements. “We envision building capabilities using data flow pipelines around machine learning and artificial intelligence for intelligent data enrichment. Moreover, we blueprint to offer solutions and explore new technology parallel to the industry trends, “concludes Singh.