Respond.io processes 2 billion messages per quarter, and that data flywheel just closed a $62.5M Series B led by Camber Partners with participation from Endeavor Catalyst. The Malaysian startup grew to $35 million in annual recurring revenue (ARR) at 169% year-over-year, all while maintaining a 30% profit margin. Not bad for a company that started solving a simple problem in 2017: businesses couldn't keep up with customers who had moved to messaging apps.
The Data Flywheel That Makes AI Agents Smarter
Co-founder and CEO Gerardo Salandra, who spent time at IBM and Google, built Respond around a simple insight: every message trains the AI. More messages mean better AI. Better AI attracts more customers. More customers generate more messages. Salandra calls it the data flywheel, and it's the reason he's not scared of ChatGPT. "If I just look at the numbers, every day that AI becomes more prominent, we grow faster," he told TechCrunch.
The platform handles WhatsApp, Instagram, TikTok, Messenger, Line, Telegram, WeChat, voice calls, and web chat. Its AI agents automatically qualify leads, close sales, and handle high volumes of inquiries without human intervention. The sweet spot: B2C companies with 200 to 10,000 employees in healthcare, automotive, retail, education, and travel.
Why Per-Conversation Pricing Wins When AI Replaces Humans
Most enterprise software charges per seat. That model breaks when AI starts answering customer questions instead of humans. Salandra saw the problem early: "When fewer humans use your product, they make less money. But we don't charge like that." Respond charges by the volume of customer conversations, whether a human or an AI agent handles them. This aligns the vendor's incentives with the customer's automation goals, not against them.
Incumbent platforms built around email and phone calls bolted on messaging as an afterthought. Salandra calls them email-first, call-first, messaging-last. That architecture creates a structural advantage for native messaging platforms like Respond when AI agents need to ingest and act on structured conversation data at scale.
Geographic Push: From APAC to North America
Respond currently generates 30% of revenue from APAC, 30% from Latin America, 20% from the Middle East and Africa, and just 20% from North America and Western Europe. But Salandra says those slower-adopting regions are now the fastest-growing. "They took longer to make the change, but now they're moving very rapidly into messaging channels."
With the fresh capital, Salandra plans bolt-on technology acquisitions and team acquisitions in strategic markets. "I can save myself six months to a year through an acquisition," he said, confirming talks with multiple targets. The disciplined approach - "we don't want to be a growth at all costs company" - keeps the profit margin intact while expanding the data flywheel. Salandra's favorite outcome? "Ringing the bell at Nasdaq."
Source: Malaysia's AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions
Domain: techcrunch.com
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