About Globik AI

Built for the next era of enterprise AI

Founded in 2025 in Mumbai, India, Globik AI was created with a clear vision: to bridge the gap between experimental AI and dependable, production-ready intelligence. Today, we support global enterprises with premium data services, multimodal annotation, and model solutions designed to make AI accurate, secure, and ready for real-world deployment.

20+
Supported Industries
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Foundations

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Who We Are

A global AI data company delivering accurate, secure, and production-ready AI outcomes. We support enterprises across industries with premium data services, advanced evaluation, and a secure delivery ecosystem.

What We Built: iTera

Our proprietary multimodal data platform, iTera, brings together annotation, automation, templates, governance, and enterprise-grade controls to help teams create, manage, and scale AI data workflows effortlessly.

Our Values

Quality First

High-fidelity data
and trusted model performance

Security & Privacy

Enterprise-grade protection at every step

Partnership

Long-term collaboration focused on impact

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Responsible AI

Safe, unbiased, and governed intelligence

What We Stand For

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Vision

A future where organizations are able to deploy AI with confidence, accuracy, and a clear sense of responsibility.

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Mission

To empower enterprises with the data, intelligence, and tools needed to build trustworthy, real-world AI.

Yashvee Shah, Founder & CEO | Globik AI

Globik AI: Founder's Note

Read what Yashvee Shah, Founder and CEO of Globik AI, shares about her vision of building a global company from India where technology meets human intelligence.

Our Global Presence

Headquartered in Mumbai, India, serving clients across the US, UK, EU, APAC, and the Middle East through a distributed workforce of annotators, SMEs, and AI specialists.

What It Means for You

Whether you’re building your first AI use case or scaling enterprise-wide intelligence, Globik AI provides the expertise, platform, and data foundation needed to deploy AI that works in the real world.

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