Germany-based eyva.ai, a SaaS platform specialising in AI-driven product development and optimisation for beauty and personal care companies, has secured €2.7M in seed funding. The round was led by Earlybird and WENVEST Capital, with participation from True Global Ventures (UK), xdeck, Wepa Ventures, Robin Capital, Superangels, and select business angels.
The German company will use this funding to strengthen its position as a leading platform for data-driven product development in the CPG industry. eyva.ai plans to expand into supplements and OTC pharma, enhance its AI technology for automated product conception, and develop its portfolio benchmarking algorithm.
How eyva.ai addresses the need for a vertical SaaS solution
Beauty and personal care brands face mounting challenges: rising costs, sustainability demands, and rapidly shifting consumer expectations. With nearly 60% of new product launches failing, inefficient portfolio management and trend evaluation can lead to costly setbacks.
Traditional processes are resource-intensive, with employees dedicating 10 hours weekly to research and concept development—time that could be better spent elsewhere.
Djef Riady Rifamole, CEO of eyva.ai, told TFN: “The lack of a comprehensive, industry-specific solution that can connect and leverage different data sources (e.g., social data, search data, product data) to provide relevant insights for product decisions is what companies are missing here.”
Since its launch in February 2022, eyva.ai has provided a unified platform for streamlining product portfolio development. By connecting consumer, market, and product data, the platform cuts research time by 90% while speeding up product ideation and concept creation by 60%.
Behind eyva.ai: AI matching capabilities and LLMs
Unlike generic tools serving multiple industries, eyva.ai focuses specifically on the CPG industry, enabling deeper data integration and insights. Rifamole explains: “We have developed advanced AI matching capabilities that can connect and harmonise data from various sources, such as social data, search data, product data, and attribute data. This provides a more comprehensive view of product decisions.”
The platform also advances beyond dashboard-based data consumption by enabling employees to create product concepts more efficiently using large language models (LLMs).
Rifamole adds: “We are developing an algorithm that continuously analyses a client’s product portfolio, identifies gaps and risks, and provides recommendations based on market trends and competitor actions. By reducing research time and providing actionable, data-driven insights, eyva replaces guesswork with confidence. Teams using eyva can execute faster and more effectively, consistently building competitive, high-performing portfolios.”
The company is expanding to integrate marketing and R&D departments with product management, enabling seamless collaboration throughout the product lifecycle. Furthermore, eyva.ai is also exploring internal data integrations to enhance risk identification, support global innovation, and drive operational excellence.
The future of CPG is behind AI-driven collaboration
The industry must shift from gut-feeling decisions to a data-driven approach in product development. Companies maintaining siloed, non-data-driven mindsets will struggle in today’s fragmented, dynamic market. This highlights the need for greater collaboration across product management, marketing, and R&D departments.
“AI and automation technologies will be crucial in freeing product managers from non-value-adding tasks and increasing efficiency. Solutions like eyva.ai that can automate product conception, portfolio benchmarking, and other workflows will become increasingly important,” concludes Rifamole.
The dynamic CPG market demands faster, more agile product development processes. To remain competitive, the industry must embrace a collaborative, data-driven, and AI-powered approach to innovation.
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