This advanced system streamlines vast amounts of crop/pest data and ensures exhaustive data automation throughout the business lifecycle. The advanced translation feature enables users to view crop/pest data in their preferred language boosting data consistency and integrity as well as leading to informed decision-making.
NeoSOFT architected a big data solution that ingests heavy amounts of data and handles large data sets coupled with multiple next-gen functionalities. The final product enabled the client to gather data from their POS at different geographic locations and gain meaningful insights about budget forecasts, product sales, and annual profit reports to devise accurate and rewarding loyalty programs.
Making data speak, we harnessed powerful AI and Machine Learning technologies to build custom ontologies and knowledge graphs for a leading business. The objective was to overcome the tedious processes of manually tagging articles and pieces of web data and reduce the long hours spent on research. Cloud-based APIs enabled users to gain in-depth information about any entity.
Deployed scalable cloud solutions to develop an application that would integrate multiple services on a single platform and improve the efficiency of the processes. More emphasis was given to security to ensure a seamless and completely secure payment gateway while safely storing user data that can be accessed through proper authorization.
Provisioned a cloud architecture solution design along with VPN tunneling for authorized access to sensitive data. This mechanism was designed to add an extra security layer to the stored data. An OS-level virtualization method of application containerization was used to deploy and run distributed application solutions.
Leveraged AWS solution architecture to develop an Ewallet application. This application was deployed on the ECS cluster. CI/CD automation was implemented through CodeBuild and CodePipeline to automate the code deployment process. The highest code quality was achieved through the integration of sonarqube.
A multi-master Kubernetes cluster was implemented on bare-metal and integrated with a Ceph storage cluster. Prometheus and Grafana were also implemented for monitoring and alerting and were integrated with the Kubernetes and Ceph clusters, for monitoring. This setup ensures data security, privacy, and fast accessibility, and is fully manageable.
We built a viable prototype for a globally renowned Pharmaceutical brand which involved developing the vital product features involved in a customer journey. Rather than demonstrating only a few elements, we envisaged the product journey across diverse user segments and offered our key recommendations to scale the product holistically across its lifecycle.
Enabled an insurance company to maintain a high level of customer experience by establishing automated user journeys and introduced a Chatbot to address the heavy influx of queries that complied with its strict industry regulations. A thorough need-gap analysis was done before drawing a digital roadmap that would elevate their customer experience.
Developed a blockchain-driven platform that aggregates the best prices from multiple cryptocurrency exchanges and allows users to compare and trade up to 1500+ cryptocurrencies at the best available price on a global scale. Integration of artificial intelligence with blockchain technology alleviated the technical, informational, and pricing challenges facing investors on all cryptocurrency exchanges.
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Increased Traffic
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