Contract Engineering Services

We can assist service providers, enterprises, and OEM’s by providing a professional opinion on all aspects of launching a successful product. Our Product Engineers can help your business achieve economic and efficient software product creation by playing a key role in all stages of the product development cycle. Our expertise in product engineering has proved to be very effective in improving overall business performance.

Our developers have completed many projects which included back-end implementations comprised of systems design, database design, microservices & REST APIs with Node and Mongo DB implementation. We specialize in Microservices architecture and varied forms of design patterns used in enterprise applications like the publisher – subscriber pattern, etc.

As part of our Testing and Automation Services, consultants and domain experts work closely with customers to integrate all existing test cases and solutions into REGAL, a Scalable Automation Orchestration Platform. The Automation Orchestration Platform enables customers to add new test cases and scenarios at digital speeds, improving the overall Quality Assurance (QA) service and product Time-To-Market (TTM) delivery timelines.

Network Observability Service supports high-performance and complex heterogeneous networks. As part of the service, we use next-gen AI-enabled Observability platforms to support advanced troubleshooting, Quality of Service (QoS) and Quality of Experience (QoE). The solution can be offered in a private or public cloud-based infrastructure and can be customizable through a rich set of APIs.

Project NVIAS seeks to  create a vendor agnostic, scalable, non-proprietary, industry reference design capable of delivering on the following:

• The promise of Next Generation Network Packet Broker technology, optimizing filtering and data distribution across existing tool sets to reduce license costs and improve tool performance.
• The value of Hyperscale Data Storage Solutions beyond simply storing structured and non-structured data by centralizing/simplifying data analytics to enhance governance, identification of security threats and performance issues before they become service impacting.
• A domain agnostic AIOPs platform to implement multiple use cases that can curate and enhance the quality of ingested data, use pattern discovery to benchmark behavior and use ML techniques that can do both statically and probabilistic analysis and use cross correlation, clustering, classifying and extrapolation to provide insights and predict incidents, detect anomalies, present root cause analysis leading to prescriptive advice and preventive maintenance/remediation.