Funding

Solidroad Raises $25M Series A To Improve Customer Conversations With AI

Apr 17, 2026 | By Team SR

Solidroad, an AI platform that helps companies evaluate and improve customer conversations, has raised a $25 million Series A round led by Hedosophia.

SUMMARY

  • Solidroad, an AI platform that helps companies evaluate and improve customer conversations, has raised a $25 million Series A round led by Hedosophia.

The platform enhances customer experience by analysing 100% of customer interactions and generating insights that reduce manual quality assurance work while improving customer satisfaction.

It also uses these insights to create personalised training simulations for support agents, helping teams improve performance without increasing QA costs as ticket volumes grow.

Since launching in 2023, Solidroad has built a strong customer base including brands such as Ryanair, ŌURA, and Crypto.com. Companies use the platform to automate quality assurance, reduce manual review work, speed up agent onboarding, and improve customer satisfaction through continuous, data-driven coaching.

The platform can analyse hundreds of customer conversations in seconds, making it well-suited for high-volume support teams. To date, it has scored millions of interactions and boosted analyst productivity by up to 10x.

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Following its seed round in June, Solidroad will use the new funding to expand its teams in San Francisco and Dublin and strengthen its position in customer support quality assurance.

“We turn every customer interaction into measurable insight,” said Solidroad co-founder and CEO Mark Hughes.

“While most company support interactions go unreviewed our platform evaluates them at scale, holding every interaction to a high quality standard to ensure customers feel supported. This funding enables us to expand our team and capabilities so more companies can make exceptional service the standard, not the exception.”

About Solidroad

Solidroad, founded in 2023, is an AI-native quality assurance and training platform for customer support teams. It evaluates 100% of customer interactions across human and AI agents, identifies risks and skill gaps, and delivers real-time personalised coaching to improve performance, raise service quality and enhance customer satisfaction.

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