Company
Nodalpoint is a leading technology company specializing in the design, implementation, and operation of advanced solutions that drive digital transformation for enterprises and public sector institutions worldwide. Our expertise lies in blending robust infrastructure planning, scalable application development, and secure, cloud-enabled architectures to support our clients’ IT modernization strategies.
Our approach integrates deep technical knowledge with practical delivery principles, ensuring that complex, enterprise-grade technologies are smoothly and efficiently adopted. We excel in creating resilient infrastructures that optimize performance and reliability, while our commitment to security is evident in every phase of our development and deployment processes.
At Nodalpoint, we empower organizations to thrive in a rapidly evolving digital landscape by providing innovative, scalable, and secure technology solutions.
Architecture & Infrastructure Planning
We cover all aspects of infrastructure design and sizing, including hardware, networking, storage, and virtualization planning. We specialize in creating robust and scalable enterprise deployment architectures, with a strong emphasis on high-availability configurations for both on-premise and cloud-hosted solutions. Our expertise ensures that our clients’ infrastructure is optimized for performance, reliability, and scalability, supporting their business objectives with a resilient and well-planned technology foundation.
Implementation
Our technology arsenal is centered around the Oracle Fusion Middleware suite, including WebLogic, SOA, and BPM, which we integrate with Fusion-centric development using Oracle ADF. We also specialize in open-source frameworks like Spring, Angular, and Hibernate for building scalable, high-performance applications. On the cloud front, we utilize Kubernetes and Spring Cloud to enable efficient, containerized deployment and orchestration. To ensure robust security and seamless orchestration, we leverage HashiCorp Vault for secrets management and Nomad for flexible workload orchestration. This cohesive set of technologies allows us to deliver innovative, secure, and scalable solutions tailored to the needs of modern enterprises.
DevSecOps
Security is at the core of everything we do. By adopting a DevSecOps approach, we ensure that security practices are embedded throughout the development and operations lifecycle. This methodology allows us to identify and address security vulnerabilities early in the process, leading to faster, safer deployments and reducing the risk of breaches. In conjunction, we implement Zero Trust Networking models that assume threats can come from anywhere, both inside and outside the network. By employing continuous verification, strict access controls, and micro-segmentation, we help our clients secure their environments against emerging threats, ensuring that only authorized users and devices can access critical resources
Technology
We are an Oracle Specialized Partner in the following key technology areas
SOA
Oracle SOA Suite resides at the core of our implementations, providing a reliable and flexible service layer for building robust and extensible service-based applications. Containing key additional components such as Oracle Service Bus, the Oracle Coherence distributed cache and Oracle Event Processing, it seamlessly integrates miscellaneous services, data sources and data feeds to cover all modern server-side business requirements and deliver a server-side platform for the long haul.
BPM
When projects require a mix of complex process orchestration and human interaction, we utilize Oracle Unified BPM Suite’s features and capabilities. Oracle Unified BPM Suite provides a turnkey environment to build, monitor, and evolve the entire organization’s business processes.
Oracle ADF
The face of every software project remains the GUI. To be loved by end users, it needs to balance simple and intuitive with robust and consistent, regardless of the project’s complexity. Our specialists engage Oracle ADF, the Oracle Application Development Framework, to deliver the desktop-style functionality that end users have come to expect from today’s web applications.
Data Science & Artificial Intelligence
Data is a valuable asset, and data-based decision making should be the minimum aim for all kinds of today’s enterprises.
The benefits from the exploitation of data already owned by organizations and enterprises is not always obvious, and even the business problem formulation is often not straightforward.
The rapid availability of Artificial Intelligence tools and methods creates both opportunities and challenges for companies willing to benefit from them.
Our resident team of professional data scientists at Kaggle Master level combine rigorous academic background with real-world business experience and hands-on expertise in advanced Artificial Intelligence techniques.
Whether you possess structured data in a database, or unstructured data coming from images, video, text, or audio, we can efficiently undertake the complete data-based project pipeline (business understanding, data understanding, data preparation, modelling, evaluation, and deployment), delivering products and added-value services.
Check out our innovative award-winning project under development, SatShipAI, which employs advanced AI methods for satellite image analysis, in order to provide critical maritime surveillance information currently missing from existing deployed systems.
Big Data
Big Data processes involve acquisition, organization, and analysis of structured and unstructured information streams, usually from a wide range of sources. Services such as large scale analytics, text mining, predictive modelling, recommender systems, and social network analysis, can offer invaluable business insight and lead to competitive advantages. Our in-house data scientists, backed up by an experienced team of systems & data engineers, can deliver products and added-value services to Big Data projects, efficiently utilizing the full stack of related tools and technologies (Hadoop, Spark, NoSQL etc).
Process Mining
Process Mining is a state-of-the-art technology, aiming to bridge the discipline of Business Process Management and the rapidly emerging field of Data Science. Process Mining exploits raw event log data, as recorded by enterprise systems, in order to automatically extract a process model as actually implemented and applied in practice; the result is an objective view of “how things actually happen”, contrasted to “how things are supposed to happen”. This view can be used for a number of key diagnostics, such as bottleneck identification, conformance checking, auditing, fraud & malpractice detection etc. Whether your organization uses just paper-defined workflow process, or already has (or prepares to install) a fully-fledged BPM suite in place, Process Mining can help you uncover hidden insights from your event log data.