Xenonstack Recommends

Digital

The Neural Company

Enterprises today are racing towards leveraging Digital Transformation capabilities, but traditional firms' architecture is rigid and unagile, leading them to not utilize modern technologies' true potential. These Enterprises require a streamlined and defined roadmap that helps them leverage their true potential, and that's where The Neural Company comes in. The real purpose is to enable Enterprises to adapt and utilize the fundamental digital transformation features at Scale.

Transitioning to the Future with Analytics, Data and Automation

The strategy for developing the Neural capabilities is quite streamlined it involves acquiring Platform Design abilities, workforce transformation and Analytical competency.The Shift starts from mapping out the infrastructure design and flexibility i.e understanding whether the structure requires re-architecture, how the legacy systems can be modernized and then digital transformation roadmap.

Define Platform Strategy

Build Digital Service Platform

Intelligent Process Automation

Drivers of Neural Company

Cloud Expert

With the accurate cloud adoption strategy, enterprises can facilitate streamlined delivery, agility, and scalability of applications

  •  Cloud Native Application
  •  Hybrid Cloud
  •  Cloud Infrastructure

AI Expert

Enabling Human-centered AI approach for building interactive systems and enhancing customer experiences

  •  Computer Vision
  •  Robotic Process Automation
  •  Natural Language Processing

Data Expert

Developing a Unified Data solution for empowering effective scalability, management, and modernization of data resources

  •  DataOps
  •  Big Data
  •  Big Data Infrastructure

The Neural Company Enablers

Human Interaction Enablers

Developing a Human-Centered Digital Transformation Strategy to improve user experience and enhance the interaction capabilities

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Developing Industry Analytics Capabilities with Solution offerings for NLP and Conversational Analytics, Conversational AI, Digital Experience Platform, Natural Language Processing and Digital Twin Development Services

Modular Driven Enablers

The path to modernization involves evaluating legacy systems and mapping which modernization approach is best suited for the established infrastructure.

Build a Streamlined Modernization Strategy and accelerate Digital Transformation with Application Modernization Strategy, Cloud-Native Application Development, Cloud Migration, Robotic Process Automation and DevOps Solutions

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API Driven Enablers

Building capabilities for effective management of applications and solutions for cost-effective and low latency development

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End-to-End Modernization Solutions with Software Development, Serverless and Blockchain Solutions

Platform Strategy Enables

Enabling a streamlined platform strategy helps enterprises to build and strengthen a platform-oriented culture, which further supports them to embrace emerging technology developments

Platform Strategy and Consulting, Product Engineering Services and Digital Product Consulting for Enterprises

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Data and AI Enablers

Empowering a unified Data and Analytics Strategy for leveraging data as an asset and Embedded capabilities

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Incorporating a Data Driven Culture with Big Data, Data Analytics, Augmented Data and Data Warehouse Managed Solutions

Usecases

  • Enabling Machine Learning model for Insurance Claim Prediction

    In the insurance claims sector, the customer’s primary requirement is to get the insurance company’s status before investing.

    25 Feb 2021

  • Cloud Native DevOps and Microservices on Kubernetes

    If your enterprise wants to scale your capabilities and deploy cloud-native applications in kubernetes, then you must read this use case.

    11 Jan 2018

  • Observability for Kubernetes and Serverless

    Build an Observability Platform for Monitoring, Logging, Tracing and Visualization of Big Data Cluster and Kubernetes with ML and Deep learning, Data Pipeline in Real Time.

    12 Feb 2018

  • Analytics Platform for Banking and Finance Industry

    In the banking and financial sectors, the customer’s primary requirements and expectations play an essential role in choosing or leaving the bank, consistency in services.

    23 Feb 2021

  • Building Real-Time Retail Analytics Dashboard

    In the retail industry sector, the customer’s primary requirement is to get the retails company status before investing in their company.

    25 Feb 2021

  • Building Multi-Model Database on Kubernetes

    A Multi-Model Database System is a data processing program that helps multiple data models, which specify the parameters for how the data in a database is composed and organized.

    10 March 2019

  • Smart Manufacturing and IoT Solutions

    Smart manufacturing is a technology-driven approach that uses Internet-connected machinery to observe the production process.

    25 Jul 2018

  • Chatbot Development and Platform with Machine Learning

    The growth of chatbots has opened up new areas of customer engagement and new methods of fulfilling business in the form of conversational commerce.

    11 Apr 2018

  • Building Analytics Data Warehouse on Cloud

    Build Data Lake to perform Analytics to collect data from different countries Servers, IoT, Social Media, Click Streams and logs to research Product discovery.

    22 Mar 2018

  • Azure Data Analytics Pipeline with Apache Spark

    Real-Time Streaming involves a data pipeline for Data Ingestion from different sources using Apache Nifi, Apache Kafka, Apache Spark, and Cassandra.

    28 May 2017

  • 01

    Enabling Machine Learning model for Insurance Claim Prediction

    In the insurance claims sector, the customer’s primary requirement is to get the insurance company’s status before investing.

  • 02

    Benefits of Enabling ML in Claims Prediction

    If your enterprise wants to scale your capabilities and deploy cloud-native applications in kubernetes, then you must read this use case.

  • 03

    Cloud Native DevOps and Microservices on Kubernetes

    Build an Observability Platform for Monitoring, Logging, Tracing and Visualization of Big Data Cluster and Kubernetes with ML and Deep learning, Data Pipeline in Real Time.

  • 04

    Managed Kubernetes Solutions

    In the banking and financial sectors, the customer’s primary requirements and expectations play an essential role in choosing or leaving the bank, consistency in services.

  • 05

    Observability for Kubernetes and Serverless

    In the retail industry sector, the customer’s primary requirement is to get the retails company status before investing in their company.

  • 06

    Serverless and Microservices Monitoring

    A Multi-Model Database System is a data processing program that helps multiple data models, which specify the parameters for how the data in a database is composed and organized.

  • 07

    Analytics Platform for Banking and Finance Industry

    Smart manufacturing is a technology-driven approach that uses Internet-connected machinery to observe the production process.

  • 08

    Benefits of Real Time Data Processing Dashboard

    The growth of chatbots has opened up new areas of customer engagement and new methods of fulfilling business in the form of conversational commerce.

  • 09

    Building Analytics Data Warehouse on Cloud

    Build Data Lake to perform Analytics to collect data from different countries Servers, IoT, Social Media, Click Streams and logs to research Product discovery.

  • 10

    Azure Data Analytics Pipeline with Apache Spark

    Real-Time Streaming involves a data pipeline for Data Ingestion from different sources using Apache Nifi, Apache Kafka, Apache Spark, and Cassandra.

Values we work on

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Respect

Respect

Building an open, reliable and diverse environment, embracing the uniqueness.

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Professionalism

Professionalism

We are transparent, honest and do work with integrity. We take pride in our work.

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Perseverance

Perseverance

We are ambitious, steady and tenacity. We deliver and reach our goals.

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Excellence

Excellence

Embracing Excellence through innovation learning and aglility.

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