MindInventory Becomes a Google Cloud Partner to Accelerate Enterprise-Grade, Cloud-Native and AI/ML Delivery

Ohio, USA – 2 May 2026 – MindInventory, a technology services company specializing in AI development, software engineering, and digital transformation, today announced that it has become a Google Cloud Partner. The designation formalizes MindInventory’s collaboration with Google Cloud and strengthens its ability to design, build, and operate cloud-native solutions across industries.

As a Google Cloud Partner, MindInventory gains structured access to Google Cloud’s technical resources, solution architecture guidance, and go-to-market programs. The company will apply these across AI/ML, data engineering, application modernization, and enterprise architecture engagements.

What the Google Cloud Partnership Means for MindInventory’s Capabilities

MindInventory will deliver Google Cloud solutions across the following areas:

AI/ML and generative AI: Building, deploying, and governing models with Vertex AI, from experimentation to production-scale MLOps.

Data and analytics: Designing unified data platforms and real-time analytics pipelines on BigQuery to turn fragmented data into decision-ready intelligence.

Containerization and modernization: Re-platforming legacy workloads onto Kubernetes and Google Kubernetes Engine for resilient, portable, and automated deployments.

Cloud-native engineering: Developing microservices-based applications and APIs on scalable infrastructure designed for high availability and performance.

Client Value: Scalability, Security, Cost Efficiency, and Innovation

The partnership is designed to deliver measurable outcomes for organizations pursuing digital transformation on Google Cloud.

Scalability: Elastic, enterprise-grade architectures that scale with demand without costly over-provisioning.

Security: Cloud environments built on Google Cloud’s security model, with identity management, encryption, and compliance controls incorporated into the architecture from the outset.

Cost efficiency: Workload optimization, right-sized resource planning, and FinOps-aligned practices that reduce total cost of ownership.

Innovation: Faster access to Google Cloud’s AI/ML capabilities, allowing clients to move from proof of concept to production with greater confidence.

Becoming a Google Cloud Partner is a deliberate step in that direction. It gives our teams deeper alignment with Google’s platform, and it gives our clients a partner who can connect Vertex AI, BigQuery, and Kubernetes into one coherent architecture rather than a collection of tools. Our focus stays on outcomes: systems that scale, data that informs decisions, and AI that works in production.”

Businesses are no longer asking whether to move to the cloud. They are asking how to build on it in a way that holds up under real business pressure.

Mehul Rajput

CEO of MindInventory

A Foundation for Long-Term Growth

The announcement reflects MindInventory’s broader strategy of building deep, platform-level expertise alongside its established software and AI development practice. MindInventory’s engineers and architects will continue to deepen their Google Cloud proficiency and apply it to client engagements across healthcare, fintech, retail, logistics, and other data-intensive sectors.

Organizations evaluating a Google Cloud Service Partner & Google Cloud Technology Partner for cloud migration, data modernization, or AI/ML implementation can engage MindInventory for architecture assessments, proof-of-concept builds, and full-scale delivery. MindInventory’s listing is available on the Google Cloud Partner Directory.

About MindInventory

MindInventory is a technology services company that helps businesses to build, modernize, and scale digital products. As a Google Cloud Service Partner and Technology Partner, MindInventory delivers cloud engineering services that include cloud-native application development, cloud migration and application modernization, data engineering and analytics on BigQuery, AI/ML solutions on Vertex AI, Kubernetes-based containerization and DevOps automation, and cloud architecture consulting. These services are built on scalable infrastructure and enterprise-grade security practices to support digital transformation across industries.