From $0 to $10 million in nine months, NeoNXT’s growth under Ashish Sharma reflects a broader shift in enterprise demand — from simply moving to the cloud to managing the infrastructure, economics and AI workloads that come next.
Enterprise cloud is entering a different phase. For much of the past decade, the conversation was dominated by migration: moving applications and workloads from traditional infrastructure to hyperscalers. That conversation has since become more nuanced. For many organisations, getting to the cloud is no longer the hardest part. The harder questions are what comes next, how to manage increasingly distributed environments, keep costs under control, maintain performance and resilience, and build infrastructure capable of supporting emerging AI workloads.
That shift is at the centre of what Ashish Sharma is building at NeoNXT, the cloud and infrastructure services business of NeoSOFT. As the company’s de facto CEO, Ashish is steering NeoNXT beyond its initial focus on cloud adoption towards a broader infrastructure proposition spanning cloud management, optimisation, modernisation, resilience and AI readiness.
The numbers offer a measure of how quickly that proposition is gaining traction: NeoNXT has scaled from $0 to $10 million in revenue in nine months, alongside an expanding enterprise pipeline. But the more telling signal lies beyond the headline figure. The business is being built around a simple change in the enterprise cloud equation: migration is increasingly the beginning of the infrastructure conversation, rather than the end of it.
That is reflected in the ecosystem NeoNXT is building around itself. The company has an Advanced Tier relationship with AWS and participates in AWS migration programmes, while Ingram Micro serves as a distribution partner for its cloud reselling model. Its broader cloud ecosystem also spans Microsoft Azure and Google Cloud. These relationships give NeoNXT access not only to the underlying platforms, but also to the channels and enterprise programmes through which cloud adoption is taking shape.
Yet the proposition extends beyond moving workloads or reselling cloud capacity. As enterprises spread workloads across multiple clouds and, in many cases, retain parts of their infrastructure on-premises, the challenge increasingly becomes one of orchestration and economics. Where workloads sit matters, but so do visibility into costs, performance across environments, resilience, security and the ability to optimise infrastructure as requirements change.
The nature of NeoNXT’s customer base reflects that shift. Different industries arrive with different infrastructure questions. Financial services organisations may place greater emphasis on resilience, security and compliance. SaaS businesses may be more focused on scalability and performance. And for organisations beginning to deploy AI, the conversation expands further — into data architecture, compute requirements and the economics of running increasingly demanding workloads.
NeoNXT is positioning itself in the space between those requirements and the underlying infrastructure. Its work across cloud monitoring, infrastructure management, optimisation and AI-ready environments points to a model that extends beyond the initial deployment. The ambition is not simply to help an enterprise get onto the cloud, but to remain involved as the environment changes and the technology decisions become more operational and commercial in nature.
That positioning also draws on his own experience across infrastructure shifts. His background spans data centres, cloud platforms, enterprise partnerships and technology businesses, including his work with Web Werks, where he was involved in partnerships with Nutanix and VMware and in developing its cloud proposition. It is an experience that informs a view of infrastructure as something less static than a technology purchase — and increasingly as an ongoing business decision involving cost, capacity, resilience and performance.
Seen in that context, NeoNXT’s growth is as much about the direction of the business as its speed. The company is not moving away from the conventional cloud services model; it is extending it into the set of problems that emerge once cloud becomes embedded in the enterprise. Environments need to be monitored, workloads optimised, costs governed and resilience maintained. AI, meanwhile, is adding another layer of demand on data, compute and architecture.
The $10 million revenue milestone in nine months provides a clear marker of the traction so far. The next phase will be about converting that momentum — supported by its AWS relationship, Ingram Micro partnership and multi-cloud capabilities into a deeper role in the infrastructure decisions enterprises are making as cloud and AI increasingly converge.
For NeoNXT, that means the opportunity is no longer defined simply by how many workloads it can help move to the cloud. It is increasingly about what happens after they get there, how those environments are run, optimised and prepared for whatever the next workload demands.
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