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VAJRA INDUSTRY RESEARCH AND ACADEMIC MEET (VAIRAM) 2025 organised by GJEPC, IIT Madras inaugurated in Chennai

The Vajra Industry Research and Academic Meet (Vairam) 2025, a joint effort by GJEPC and InCent LGD IIT Madras, was officially introduced at the IITM Research Park in Chennai.

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Madras at IITM Research Park, Chennai, was unveiled by Prof. V Kamakoti, Director, IIT Madras, Prof M S Ramachandra Rao, InCent-LGD, IIT Madras, Mr. Manish Jiwani, Co-Convener, LGD Committee, GJEPC and Mr. Sabyasachi Ray, Executive Director, GJEPC among other dignitaries and industry experts.

The workshop features several panel discussions. “Beyond Gems: Next-Generation Applications of OLab-Grown Diamonds” explores LGDs’ potential in various industries beyond jewellery. “Lab-Grown Diamond Growth and Treatment Recipes and Challenges” delves into the intricacies of CVD and HPHT methods. “Diamond Quality Checks and Certification” addresses the crucial need for standardised quality control for gems, jewellery, and seeds. “Lab Grown Diamond Machines and Processing Equipment” will highlight the importance of indigenous equipment manufacturing to bolster India’s self-reliance. The workshop has drawn 150 + participants from the industry.

Key Takeaways

Diamond Quality Checks & Certification:

  • Advanced treatments challenge LGD grading and certification accuracy.
  • Key challenges: ensuring grading accuracy, standardization, and detecting undisclosed synthetics.
  • Emphasis on advanced testing methods, tech-driven grading, and industry consistency.
  • Traceability of tested items is a major issue.
  • LGDs are both supplementary and complementary to the diamond industry.
  • Mimicking natural diamond growth patterns in LGDs remains a challenge.

LGD Growth & Treatment Recipes: Key Takeaways

  • Increasing nitrogen in HPHT accelerates growth, benefiting gem-quality diamonds but not other industrial uses.
  • Focus on optimizing growth parameters, impurity control, and enhancement for superior diamonds.
  • Challenges include consistency, reducing defects, scalability, and reliance on high-purity raw materials.
  • Future focus on refining processes, improving sustainability, and enhancing research-industry collaboration.

Diamond Quality Checks & Certification (Continued): Key Takeaways

Strengthening quality assurance frameworks is essential to ensure consumer trust globally.

Grading LGDs differs from natural diamonds, especially in color; secondary reference masters needed.

Labs must assess hue saturation and intensity, not just color for LGDs.

Clarity characteristics differ due to metallic inclusions in LGDs.

Color grading challenges arise in borderline clusters where AI struggles.

LGDs are cut for perfection, unlike natural diamonds, which are cut for weight retention.

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Zithara.AI Partners With Palmonas To Strengthen AI Led Revenue Growth and Customer Engagement In Jewellery Retail 

Collaboration To Enable Personalised Customer Engagement, Improve Retention, and Support Scalable Revenue Growth Through AI Native CRM

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Zithara.AI, an AI-native customer engagement platform for offline retailers, announced a strategic partnership with Palmonas to enhance customer engagement through data-driven solutions across the brand’s retail operations.

As part of the partnership, Palmonas will implement Zithara.AI’s AI-native CRM platform to unify customer data across multiple touchpoints, enabling a single, consolidated view of customer interactions. The platform will support intelligent customer segmentation, automated engagement workflows, and personalised communication designed to improve customer retention and increase repeat purchases. The deployment is aimed at creating a more structured and consistent approach to customer engagement as the brand continues to scale.

The integration will allow Palmonas to capture and analyse customer data across online and offline touchpoints, enabling targeted campaigns, timely follow-ups, and more relevant communication across the customer lifecycle. By helping bridge the gap between digital customer enquiries and physical store visits, the platform will support improved customer conversions, strengthen retention, and enable more effective customer journeys that contribute to revenue growth.

Speaking about the partnership, Hitesh Magoo, CMO, Demifine Fashion Pvt. Ltd., said,

“At Palmonas, our focus has always been on creating meaningful customer experiences while expanding our retail presence. As more customers discover brands through digital channels, one of the biggest opportunities for offline retailers is converting that interest into store walk-ins and lasting customer relationships. We were looking for a platform that could intelligently manage customer engagement across multiple stores while helping us improve walk-in conversions and long-term customer retention. Zithara.AI’s AI-native platform aligns with these objectives by enabling more personalised customer interactions that support stronger conversions, increased store walk-ins, and sustainable revenue growth. We look forward to leveraging its capabilities to build deeper customer relationships as we continue to scale our retail footprint.”

Varun Kashyap, Co-Founder, Zithara.AI, said,

“We are pleased to partner with Palmonas as they continue to expand their retail presence. Our platform is built to help brands organise and leverage their customer data to drive structured, consistent, and personalised engagement. This partnership reflects the growing focus among offline retailers on using technology to strengthen customer relationships and improve retention.”

Sridevi Reddy, Co-Founder, Zithara.AI, added,

“Our focus is on enabling offline retailers to become more data-driven and customer-centric. Through this partnership, we aim to help Palmonas build stronger customer connections and deliver more personalised experiences at scale.”

The partnership marks a continued focus by Zithara.AI and Palmonas on leveraging AI-native capabilities to strengthen customer engagement and support revenue growth in offline retail environments. By integrating Zithara.AI’s platform, Palmonas aims to build a more connected, efficient and scalable customer engagement framework aligned with its growth plans.

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