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Paris-based Phacet Secures €4M to Expand AI Solutions for SMEs

Paris-based startup Phacet has raised €4 million in a seed round to further develop its AI application platform designed for small and medium-sized enterprises (SMEs). The round included investment from prominent funds such as Motier Ventures, Aglaé Ventures, Emblem, Origins, Kima, Financière Saint James, Robin Capital, and BetterAngle. Additionally, 148 business angels from sectors like tech, finance, and retail participated, including Thibaud Elzière (Hexa), Des Traynor (Intercom), Florian Douetteau (Dataiku), Philippe Corrot (Mirakl), and Rodolphe Ardant (Spendesk).

Phacet specializes in creating customized AI solutions aimed at streamlining and enhancing business operations for SMEs. The company’s platform helps businesses build tailored AI applications, offering tools to integrate AI into daily processes for improved efficiency and productivity.

The startup’s unique approach includes an AI Bootcamp that brings together Phacet’s AI engineers and client teams to co-develop AI applications. With a central platform, businesses can manage their AI projects with a consistent, cost-controlled, and connected experience.

Phacet has already demonstrated its value, working with companies like Smartbox, which saw a transformation in ecommerce, finance, and customer service operations. The startup aims to roll out more ready-to-use AI applications across sectors such as e-commerce, finance, and industry by 2025.

Founder and CEO Nicolas Marchais highlighted the importance of the investment in advancing Phacet’s mission: “This support will enable us to bridge the gap between evolving AI models and the concrete needs of SMEs, helping businesses implement AI across various departments.”

Investor Thibaud Elzière praised the company’s holistic approach: “Phacet doesn’t just offer AI models. They partner with companies to identify areas of high impact and create user-friendly tools for employees to engage with AI in their workflows.”

Phacet’s AI solutions focus on automating repetitive tasks, allowing employees to concentrate on high-value work, emphasizing the collaboration between human expertise and machine efficiency.

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