Globant and Synthesis AI Advance Digital Twin Tech

Published: September 25, 2025

Globant and Synthesis AI Advance Digital Twin Tech

Industry Insights from Next Move Strategy Consulting

As industries embrace Artificial Intelligence to fuel next-generation solutions, Globant’s strategic partnership with Synthesis AI signals a transformative step for Digital Twin technology. By integrating synthetic data capabilities into AI-driven applications, the collaboration enhances innovation across multiple sectors, including entertainment, retail, automotive, and manufacturing.

Driving Digital Twin Innovation Through Synthetic Data

Synthetic data has become central to the advancement of Digital Twin ecosystems, particularly in training computer vision models. Globant’s integration of Synthesis AI’s synthetic datasets expands opportunities to scale AI systems with greater accuracy, privacy, and adaptability. This move reinforces Globant’s commitment to building smarter and more ethical AI applications through its Digital Twins Studio.

Key Applications and Industry Impact

The partnership will enable diverse use cases across industries, including:

  • ID Verification – Generating millions of synthetic, privacy-compliant facial images to develop unbiased ID models for finance, automotive, entertainment, and smart venues.

  • Security & Threat Detection – Simulating multi-person environments to train AI systems in activity recognition, enhancing safety in retail and venue management.

  • AR/VR/XR Development – Supporting human-centric models to drive headset innovation across manufacturing, life sciences, and retail.

  • Virtual Try-On – Allowing retailers to offer immersive experiences by tailoring body types, poses, and clothing combinations.

  • Driver Monitoring – Modelling complex driver and occupant behavior across demographics and vehicle types to support automotive and energy innovation.

  • Pedestrian Detection – Training AI with outdoor, multi-person datasets for safer mobility in the automotive sector.

Scaling Globant’s Digital Twins Studio

According to Globant’s Chief Technology Officer, Diego Tártara, the partnership amplifies the capabilities of its Digital Twins Studio, enabling faster deployment of AI-powered systems at scale. With 3D technologies, analytics, and synthetic data integration, the studio is positioned to deliver advanced, human-centric solutions across global industries.

Next Move Strategy Consulting’s View

From the perspective of Next Move Strategy Consulting, this partnership highlights a significant evolution in the digital twin market. The integration of synthetic data directly addresses challenges of data scarcity, bias, and privacy, strengthening AI’s ability to simulate real-world environments with accuracy. As enterprises prioritize ethical, scalable, and high-performing AI models, such collaborations are set to accelerate adoption and reshape competitive strategies across industries.

Strategic Outlook

The Globant–Synthesis AI alliance underscores the growing role of synthetic data in shaping the future of Digital Twin applications. By enabling new capabilities in verification, safety, and immersive experiences, the partnership positions both companies at the forefront of AI-driven industry transformation.

Source: Globant

Prepared by: Next Move Strategy Consulting

About the Author

Sanyukta Deb Sanyukta Deb — Sanyukta Deb is Digital Marketing Team Lead at Next Move Strategy Consulting, where she has led content strategy and technical SEO for the firm's B2B market research publications for over 2 years. Her editorial process translates NextMSC's primary and secondary research — spanning technology, industrial, and consumer sectors — into commercial narratives, backed by search-intent, keyword, and competitive analysis. She brings 5 years of overall experience in digital marketing and content strategy.

About the Reviewer

Debashree Dey Debashree Dey — Debashree Dey is Assistant Manager at Next Move Strategy Consulting, where she supports cross-vertical market content and communications across diverse industries for 6 years. Her professional background includes senior content writing, communications, and published manuscript authorship, with experience developing audience-focused business narratives and maintaining clear, consistent messaging. Her role supports research-led content development and editorial quality across NextMSC publications.

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