Enterprise AI infrastructure, MLOps & developer Tools drive the next phase of AI innovation

What is powering the rapid rise of Artificial Intelligence today goes far beyond breakthrough applications and automation; it is the underlying platforms, infrastructure, and developer ecosystems enabling AI at scale. As enterprises move from experimentation to implementation, the focus is shifting toward the technologies that enable AI systems to operate reliably, efficiently, and at scale.

Recognising this growing layer of innovation, the ET Most Innovative AI Product Awards 2026 by The Economic Times is now inviting nominations for the AI Platforms, Infrastructure & Developer Tools category. The category aims to honour the foundational technologies helping organisations build, deploy, manage, and operationalise AI systems across enterprise environments.

From AI infrastructure platforms and cloud-native deployment frameworks to MLOps solutions, orchestration systems, AI observability tools, vector databases, model management platforms, and developer-first AI ecosystems, the category recognises innovations that are simplifying and accelerating enterprise AI adoption. These technologies are becoming essential for businesses looking to scale AI implementation while improving performance, governance, and operational efficiency.


As enterprises deploy increasingly advanced AI models and workflows, the demand for reliable AI infrastructure has grown significantly. Organisations today require solutions capable of streamlining deployment, optimising compute resources, supporting real-time monitoring, reducing operational complexity, and enabling seamless AI integration across teams and functions. This has led to rapid growth in AI engineering platforms and developer tools that are becoming central to enterprise transformation strategies.

Across industries such as finance, healthcare, retail, manufacturing, logistics, SaaS, cybersecurity, and customer experience, AI infrastructure providers and developer ecosystems are emerging as key enablers of business innovation. The category seeks to recognise companies building the backbone of modern AI transformation.

The category is open to startups, SMEs, enterprises, SaaS companies, cloud providers, AI infrastructure firms, and technology innovators developing scalable AI platforms and engineering solutions. Products focused on MLOps, LLMOps, AI deployment, orchestration, observability, AI security, developer tooling, and enterprise AI operations are eligible to nominate.

Nominations for the ET Most Innovative AI Product Awards 2026 are now open, with submissions closing on 31st May 2026.