Nazara Technologies has sold its entire 71.54% stake in Sports Unity Private Limited, the company behind the multiplayer quiz game ‘Qunami’, for INR 7.15 lakh. This divestment, effective March 25, 2025, signifies a strategic shift for Nazara, which had previously acquired a controlling interest in Sports Unity in 2019 for INR 7.5 crore.

The decision to offload the stake comes as Sports Unity has faced financial difficulties, reporting no active business operations and a negative net worth of INR 0.45 crore at the end of FY24. This move aligns with Nazara’s broader strategy to streamline its operations and concentrate on more profitable ventures within the gaming sector.

This sale follows Nazara’s recent divestment of a 94.85% stake in another subsidiary, Open Play, to Moonshine Technologies for INR 104.33 crore. Despite reporting record quarterly revenue of INR 544.7 crore in Q3 FY25, Nazara experienced a 53.5% decline in net profit year-over-year.

Nazara continues to focus on enhancing its portfolio through strategic acquisitions and investments in high-potential gaming platforms while navigating the competitive landscape of the gaming industry.

Hypergro.ai, a Bengaluru-based marketing technology startup, has raised Rs 7 crore in seed funding led by Silverneedle Ventures, with participation from Huddle, TDV Partners, HME Ventures, Dholakia Ventures, FiiRE, and angel investors. Founded in 2022 by Rituraj Biswas, Neha Soman, Abhijeet Kumar, and Arijit Mukhopadhyay, the company aims to revolutionize digital marketing by addressing challenges like high Customer Acquisition Costs (CAC) and low Return on Ad Spend (ROAS).

The startup leverages AI to create hyper-personalized video ads using user-generated content (UGC). The fresh capital will be used to enhance Hypergro.ai’s AI capabilities, expand operations, and build a specialized team focusing on data analysis, predictive algorithms, and automation.

Since its inception, Hypergro.ai has collaborated with over 70 brands, including several from Shark Tank India. The company’s innovative approach has led to its selection for Google’s Startups Accelerator: AI First (India) program in July 2024, providing access to critical training, mentorship, and state-of-the-art AI tools.

Hypergro.ai’s platform now supports a community of over 300,000 creators across India and has partnered with more than 100 brands, significantly enhancing its AI model’s accuracy and improving revenue generation for clients. As it continues to expand and refine its AI-powered marketing solutions, Hypergro.ai is set to transform the digital advertising landscape, offering businesses more effective and efficient customer acquisition and engagement strategies.

Meta, the parent company of Facebook and Instagram, is facing fresh legal challenges over allegations that it used copyrighted materials without permission to train its artificial intelligence models, including its LLaMA series. This lawsuit adds to the growing scrutiny of AI companies’ data sourcing methods.

The Allegations

Authors such as Sarah Silverman and Michael Chabon claim Meta trained its AI models on datasets containing their copyrighted works without authorization. Plaintiffs argue this constitutes copyright infringement, while Meta defends its actions under the “fair use” doctrine, asserting that the training process is transformative and legally permissible.

Internal Discussions Raise Concerns

Court documents reveal internal chats among Meta employees discussing the use of copyrighted materials. One researcher suggested acquiring books without permission, stating, “ask forgiveness, not for permission.” These discussions highlight potential awareness within Meta of the legal risks involved.

Fair Use Debate

Meta maintains that its use of copyrighted texts to train LLaMA models is transformative and falls under fair use. The company compares this practice to Google’s precedent in Authors Guild v. Google, where copying books for search tools was deemed fair use. However, critics argue that training AI for commercial purposes does not meet fair use criteria.

Broader Implications

This lawsuit reflects wider concerns about how AI developers source training data, often relying on publicly accessible yet potentially copyrighted materials. As litigation against companies like Meta, OpenAI, and Google increases, clearer regulations may be necessary to balance innovation with intellectual property rights.

The outcome of this case could significantly impact both AI development practices and copyright enforcement in the tech industry.