Phonely, an AI-powered voice platform transforming business phone interactions, announced a $16 million Series A round led by Base10 Partners, bringing total funding to $19 million. The round included participation from Y Combinator and enterprise customers such as Etech Global Services, TSA Group, and Engage CX, who also invested after adopting the platform.
Reinventing Business Phone Calls
Phone calls remain a critical revenue channel, with over $2 billion transacted daily in the US. However, traditional call center models face inefficiencies, including outdated systems and high staff turnover. Phonely positions AI as a way to turn calls into a scalable, high-performance customer experience channel.
AI Receptionist at Scale
Phonely enables businesses to deploy AI receptionists trained on their own data, capable of handling inquiries, routing calls, and booking appointments. The system delivers high accuracy, low response times, and significant cost savings compared to traditional call centers. Continuous learning allows the platform to improve performance with each interaction.
Measurable Business Impact
The platform handles millions of calls monthly across thousands of businesses, delivering higher conversion rates and operational efficiency. Customers report increased appointment bookings, reduced costs, and improved service quality at scale.
"Phonely's AI agents are outperforming our human call center with 15,000 calls a day at a fraction of the cost. If you're not using Phonely, you're throwing money out the window." — Matthew Dillender, CTO, Engage CX
"We have 4,500 human agents, and we didn't believe AI could match that level of conversational quality at scale. Working with the Phonely team, we've been able to create AI agents that resolve calls better than our best people." — Xander van der Westhuizen, Head of AI Data and Innovation, TSA Group
Strong Customer Backing
Enterprise customers not only adopted the platform but also invested in the funding round, highlighting strong confidence in its ROI and long-term potential.