Fractal, a leading SaaS unicorn, has announced a strategic investment of $20 million in Asper.ai, an AI-driven platform focused on the consumer goods and manufacturing sectors. This funding, revealed on March 19, 2025, aims to accelerate Asper’s growth by enhancing product development and expanding its enterprise customer base.

Investment Highlights

Pranay Agrawal, Co-Founder and CEO of Fractal, expressed excitement about the partnership, noting Asper’s impressive growth over the past three years. He stated that this investment will unlock new opportunities for enterprise customers and drive further innovation within Asper.

Asper.ai’s Objectives

Mohit Agarwal, Co-Founder and CEO of Asper.ai, emphasized the need for consumer goods leaders to have a strategic ally that can adapt to their operations and transform data into actionable insights. The investment will support Asper in building its autonomous growth AI platform and attracting top talent.

Future Plans

Anuj Kaushik, Co-Founder and Chief Commercial Officer of Asper.ai, highlighted the positive market response to their offerings. With Fractal’s investment, Asper.ai plans to enhance its AI capabilities across key areas like demand forecasting and revenue growth management.

Conclusion

Fractal’s $20 million investment marks a significant step in advancing AI solutions within the consumer goods sector. The collaboration between Fractal and Asper.ai is set to redefine how businesses leverage AI for growth and efficiency in a competitive landscape.

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.