Respond.io has raised $62.5 million in Series B funding as the Kuala Lumpur-based company looks to take its AI-powered customer conversation platform deeper into North America and Europe. The round was led by Camber Partners, with participation from Endeavor Catalyst and existing backers.
The company said the fresh capital will support hiring, international expansion, product development, and potential acquisitions in key markets. For Respond.io, the raise comes at a time when businesses are moving beyond simple chatbots and looking for AI systems that can manage real customer conversations across multiple channels.
Founded in 2017 by Gerardo Salandra, Hassan Ahmed, and Iaroslav Kudritskiy, Respond.io originally began in Hong Kong before relocating to Malaysia. It has since become one of the region’s more notable SaaS companies, with a product aimed at businesses that rely heavily on messaging, sales conversations, and customer support.
A Profitable AI SaaS Story
Respond.io is not raising money from a weak position. The company says it has reached $35 million in annual recurring revenue, is growing 169% year over year, and operates with a 30% profit margin. That makes it stand out in an AI startup market where many companies are still spending aggressively to chase growth.
The platform now serves more than 10,000 businesses across over 180 countries and territories. It also processes more than 2 billion messages every quarter, giving it a large base of real customer interaction data to support automation and AI development.
That scale is central to the company’s pitch. Respond.io believes the more conversations it manages, the better its system can understand customer patterns, sales intent, support issues, and handoff moments between AI and human teams.
What Respond.io Does
Respond.io helps companies manage customer conversations from one central platform. It connects channels such as WhatsApp, Instagram, TikTok, Messenger, LINE, Telegram, WeChat, voice calls, email, and web chat.
The platform is built for businesses where customers usually need a conversation before they buy, book, or commit. That includes industries such as education, healthcare, automotive, retail, and travel. In these sectors, customers often ask follow-up questions, compare options, check availability, request pricing, or need reassurance before making a decision.
This is why Respond.io is positioning itself as more than a chatbot company. Its system combines messaging, automation, AI agents, CRM context, routing, and human handoff. The goal is not only to reply faster, but to manage the full conversation from first inquiry to resolution or conversion.
Why AI Agents Are Central
The major growth angle for Respond.io is AI agents. These agents can answer customer questions, qualify leads, support sales conversations, and pass more complex cases to human teams with context attached.
That matters because customer service AI is moving away from basic FAQ automation. Businesses now want tools that can actually complete work, not just respond with canned answers. A customer may start on Instagram, continue on WhatsApp, ask for pricing, request a call, and then need a human handoff. Respond.io wants to make that entire path easier to manage.
The company’s message volume gives it a useful advantage. With billions of conversations flowing through the platform, Respond.io has exposure to many real-world support and sales scenarios. That could help it improve automation across industries and regions.
Expansion Into the West
North America and Western Europe are now major targets for Respond.io. The company has historically been stronger in regions where messaging apps became primary business channels earlier, including parts of Asia, Latin America, the Middle East, and Africa.
That is starting to change. Businesses in the U.S. and Europe are using more messaging channels, social platforms, and AI tools to manage customers. Respond.io sees this shift as an opportunity to bring its messaging-first model into markets with larger software budgets.
The company is also considering acquisitions as part of that expansion. Possible targets could include companies with useful technology, regional customer bases, or local teams in strategic markets. For a Malaysia-headquartered company trying to grow in the U.S. and Europe, acquisitions could shorten the time needed to build brand trust, sales coverage, and market presence.
A Different Pricing Bet
One of Respond.io’s more interesting choices is its pricing model. Many enterprise software companies charge per seat, which can become awkward in an AI-heavy future. If AI agents reduce the number of human support agents using a platform, seat-based revenue can come under pressure.
Respond.io instead leans toward customer conversation volume. That means the company can benefit as more conversations happen, whether they are handled by humans, AI agents, or a mix of both.
That model may become more important as AI changes how customer teams operate. If automation reduces headcount but increases conversation capacity, usage-based pricing could fit the market better than traditional per-user software pricing.
What to Watch Next
Respond.io’s next test is whether it can turn its strength in messaging-first regions into serious growth in North America and Europe. Those markets are competitive, with established customer support platforms, CRM companies, and newer AI agent startups all chasing the same opportunity.
The funding gives Respond.io more room to compete, but the real challenge will be execution. It must prove that its platform can win customers in mature software markets while keeping the capital efficiency that made this round notable.
For now, the company’s message is clear. Respond.io is betting that the future of customer communication will not be built around isolated chatbots or old support tickets. It will be built around AI agents connected to real conversations, customer history, business workflows, and human teams when needed.
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