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Mindstix Software Labs

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Mindstix Software Labs is a technology company focused on AI-native commerce, enterprise AI, and cloud engineering services.

Last updated September 16, 2026

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Nov 4, 2026
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Overview

Mindstix Software Labs is a technology company that helps enterprises build smarter commerce, AI-driven products, and at-scale platforms. It offers AI-native technology services spanning strategy, architecture, user experience, engineering, and CloudOps, and operates an AI-Native Commerce Studio. The company was founded in 2010 by Roshan Kulkarni and has a global team based in Pune and San Francisco, partnering with brands in luxury retail, SaaS, CPG, health tech, and hospitality.

History

Mindstix began in 2010 as the seed of an idea in founder Roshan Kulkarni's mind: to build bold, thoughtful technology and design with craftsman-quality and curiosity at its core. The company's journey includes a mobility focus in 2014, design-centric engineering in 2017, and microservices and cloud architecture in 2019. Since 2014, it has grown into a global team of engineers, designers, and strategists based in Pune and San Francisco. It currently operates an AI-native Commerce Studio and partners with leading brands in luxury retail, SaaS, CPG, health tech, and hospitality to accelerate digital commerce implementation using cloud, AI, and human-centered design.

Products and positioning

AI-native technology services and commerce studio for ambitious enterprises.

  • AI-Native Commerce Studio

    Reinvents digital commerce for global retail and consumer brands with modern experiences, intelligent platforms, and proven playbooks.

  • Transformative Agents & AI Workflows

    Designs and engineers intelligent agents for complex enterprise workflows, governed execution, and measurable business impact.

  • Cloud Technology Services

    Includes cloud-native architecture, DevOps & CloudOps, performance engineering, scalability engineering, release engineering, security ruggedization, reliability engineering, enterprise cloud migration, and cloud cost optimization.

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