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UK’s Clarity Raises USD 12M to Scale AI Customer Service in MENA 

UK’s Clarity Raises USD 12M to Scale AI Customer Service in MENA 
Image Source: retail tech innovation hub website
  • Clarity, a UK-based AI CX platform, raised USD 12M led by Prosus Ventures and STV Al Fund with global investors.
  • It targets regulated industries with a 3-in-1 platform combining AI agents and customer intelligence.
  • With offices in London, New York, and Riyadh, Clarity plans to expand AI teams and forge new partnerships regionally.

Clarity

Based in London, Clarity raised USD 12 million in new funding. The round is led by Prosus Ventures with participation from STV Al Fund (backed by Google), and Sukna Ventures. It also saw participation from Wamda Capital, Neo, Oraseya Capital, Phaze Ventures, Propeller, Tech Invest Com, and angels from OpenAI and Google.

Founded by CEO Abed Kasaji and CTO Pavel Kochetkov, Clarity is an AI-powered customer-experience and voice-of-customer (VoC) platform for highly regulated industries. Based in London, with offices in New York and Riyadh, it aims to bring customer experience in a 3-in-1 platform. It combines voice-of-customer intelligence, AI agents, and support automation.

Customer Service

Formerly known as Anecdote, the company has rebranded to Clarity. Up next, it aims to use the new funding to expand applied-AI teams in New York, London and Riyadh. Additionally, it aims to further develop its tech and forge partnerships to aid companies in modernizing their customer operations.

 “Rebranding to Clarity is about exactly that, bringing more clarity to customer experience. We want AI to be simple, useful, and safe. From day one we built Clarity to be compliant, secure, and easy to roll out. This new funding lets us keep improving the tech and building the right partnerships so companies can finally modernize customer operations with confidence,” said Abed Kasaji, Co-founder & CEO, Clarity.

According to the startup, many businesses experimenting with AI in customer service struggle to balance benefits with risk. This is especially in regulated industries where compliance and accuracy are critical. Thus, it aims to tackle this gap by combining AI agents with company knowledge bases to deliver accurate, multilingual answers, flag fraud, escalate high-risk cases, and surface customer trends.

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