With 24 years of cloud engineering experience and more than 400 cloud experts, N-iX delivers cloud modernization services for midsize businesses and large enterprises, including Fortune 500 companies. We hold AWS Premier Tier Services Partner, Microsoft Solutions Partner, and Google Cloud partner status, and have delivered 200+ cloud solutions in the past five years.
Modernization decisions now come with an added test: whether the result can also host AI workloads. N-iX validates what a given AI tool, data pipeline, or architecture choice delivers on your workloads before it becomes part of the build. When that means adopting new AI tooling, we apply Pragmatic AI Software Engineering and run it through our APEX framework (Assess, Pilot, Expand, eXcel), scaling only what the results justify. On one modernization engagement, that discipline saved the client over $1M in operating costs. For another, it supported 20% growth in the customer base over the following year.
reduction in operational costs
reduction in infrastructure costs
reduced working hours
in saved costs
growth in the number of customers
N-iX assesses your current environment, infrastructure, and applications, then delivers a modernization roadmap with clear priorities, sequencing, and target architecture, including whether each workload is ready to host AI.
Our experts design and implement governance frameworks with automated guardrails that control access, monitor resource usage, and enforce security policies, giving you clear visibility into cost and compliance across your cloud environment.
We apply FinOps practices to your cloud environment, pairing continuous cost monitoring with AI-assisted anomaly detection and rightsizing recommendations that cut waste and protect the performance budgets you’ve already set.
Our engineers will integrate advanced AI and ML tools into your infrastructure to derive actionable insights, streamline decision-making, and foster innovation across your organizOur engineers integrate Amazon Bedrock, Microsoft Foundry, or Gemini Enterprise Agent Platform into your modernized environment, connecting foundation models to your data so AI features run on infrastructure built to support them.
We design and implement multi-cloud architectures that distribute workloads across AWS, Azure, and Google Cloud, cutting vendor lock-in and giving you room to place workloads where cost and performance fit best.
We protect your critical data and applications by building automated, scalable systems that enable quick recovery and minimize downtime in the event of a disaster.
Our security specialists assess, design, and implement end-to-end security measures such as identity management and AI-powered threat detection, so unusual activity gets flagged and contained before it becomes a breach.
N-iX engineers build high-availability architectures with automatic failover and load balancing, so your service keeps running and performance holds steady as workload demand changes.
Our engineers build Infrastructure as Code pipelines that provision, configure, and scale resources automatically, with AI-augmented monitoring that flags configuration drift and failures before they cause downtime.
N-iX designs CI/CD pipelines with AI-enhanced code review and test generation built in, catching issues earlier and shipping releases faster.
We review your infrastructure across security, reliability, performance, and cost efficiency against AWS, Azure, and Google Cloud’s well-architected frameworks, then deliver a step-by-step roadmap to close the gaps we find.
Running AI and ML in production requires specific infrastructure work: data that’s centralized and governed, and operations that catch issues automatically. It also takes compute that scales for training and inference, and a pipeline that moves models from training to production without manual handoffs. N-iX builds all four into your modernized cloud environment:
We design and implement data lakes and warehouses that centralize and govern your data, so it’s ready to train and serve AI and ML models.
Our engineers apply AI and ML to monitor your cloud performance, security, and costs, automating resource allocation, flagging anomalies, and predicting issues before they affect your environment.
N-iX designs cloud architectures built for Machine Learning, with elastic GPU and TPU compute that scales to handle AI training, inference, and real-time data processing.
Our team integrates MLOps practices into your cloud environment, automating the lifecycle from data preparation and model training to deployment, monitoring, and retraining.
Scale compute, storage, and other resources up or down automatically as demand shifts with market trends, seasonal peaks, or customer growth.
Reduce spend by automating scaling, fixing misconfigurations, and choosing native services suited to your workload, paying only for what you use.
Deploy updates and new features faster with agile delivery, CI/CD pipelines, and DevOps practices that keep your release cycles short.
Run AI and ML workloads in production on infrastructure built for them, with elastic compute for training and pipelines for deployment.
Protect sensitive data and meet regulatory requirements with identity management, threat detection, and automated compliance checks.
Integrate cloud-native applications with existing systems, third-party services, and new technologies, cutting the manual effort cross-functional teams spend keeping workflows connected.
Build architecture that adapts across AWS, Azure, and Google Cloud as your business, workloads, and technology needs change over time.
Reduce your carbon footprint and align with global sustainability goals by shifting from physical data centers to energy-efficient environments.
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We begin by conducting a thorough assessment of your existing infrastructure, applications, and workloads. We also evaluate your business goals, select a suitable model (private, public, hybrid), and define the modernization roadmap.
Next, we develop a modernization strategy tailored to your company’s goals, balancing cost, performance, and scalability needs. We choose the best approach to migrating and modernizing your applications, be it rehosting, replatforming, refactoring, or rebuilding. When AI workloads are part of the target architecture, we validate that approach through our APEX framework (Assess, Pilot, Expand, eXcel) before committing to it. Our engineers also evaluate and select a provider (or providers) that meets your technical and compliance requirements.
N-iX redesigns or adapts the architecture of your application for cloud compatibility, focusing on microservices, containerization, or serverless options. We also integrate robust security frameworks to address access control, resilience, data protection, and compliance requirements.
Our engineers migrate your applications in stages, starting with low-risk workloads to gain familiarity and address possible issues early. Additionally, we handle the transferring and transforming of data from on-premises to cloud-based databases or storage services, if required. This includes establishing a data governance framework and ensuring data integrity, security, and compliance throughout the migration process.
Our DevOps experts implement automation for CI/CD pipelines, monitoring, scaling, and updates to reduce manual work and enhance efficiency. By using the optimization tools provided by cloud providers, we refine resource usage, tune performance, and cut costs.
Finally, we perform regular maintenance, updates, and optimizations to make sure that your systems run smoothly and stay aligned with your evolving business needs. We constantly monitor performance and security and implement new features or services to add long-term business value.
certified cloud experts
cloud projects completed in the past five years
DevOps experts
tech experts
years of market presence and engineering experience
Cloud Services and Solutions provider
Chief Technology Officer
The cloud isn't simply a technology shift. It's not just about reducing costs or improving efficiency; it's about empowering organizations to reimagine what's possible and stay ahead of the curve in today's rapidly evolving digital landscape.
Chief Technology Officer
This is the process of updating an organization’s infrastructure, applications, and systems to take advantage of cloud-native capabilities.
The four main service models are:
Modernizing enhances business agility, reduces maintenance costs, and enables faster deployment. A cloud modernization company can help businesses scale resources on demand, strengthen security, and leverage new technologies like AI and data analytics for innovation.
While migration involves moving applications or data from on-premises to the cloud, modernization focuses on updating and optimizing systems to leverage cloud capabilities. Such services may include re-architecting or rebuilding applications.
The most common modernization challenges include data migration, security and compliance management, and legacy application compatibility. As an experienced consultant, N-iX helps mitigate these challenges with careful planning and choosing the right approaches and methodologies.
Briefly outline your project or challenge, and our team will respond within one business day with relevant experience and initial technical insights.