Malaysia’s Respond.io has spent nearly a decade riding a shift many companies missed: customers stopped waiting for emails and phone calls and began expecting instant replies inside messaging apps. Now the Kuala Lumpur-based software maker is betting that the same habit that built its business will carry it into a much larger phase of growth. The company has closed a $62.5 million Series B financing round and says the fresh capital will help it expand through hiring, product development and acquisitions, especially in North America and Western Europe.
The round, announced on Tuesday, was led by Camber Partners with participation from Endeavor Catalyst and existing backers. For a startup that last raised $7 million in a Series A round in 2022, the new financing marks a major step up. Respond.io says it has grown to $35 million in annual recurring revenue and is doing so profitably, with a 30% margin and year-over-year revenue growth of 169%.
That performance puts the company among the more notable Southeast Asian software stories to emerge from Malaysia. It also underscores a bigger trend in enterprise software: customer communication is shifting from static support channels to AI-assisted, conversation-led systems that can qualify leads, answer questions and even close sales without direct human intervention.
A business built around the messaging shift
Respond.io was founded in 2017 by Gerardo Salandra, Hassan Ahmed and Iaroslav Kudritskiy. Salandra had worked at IBM and Google before joining Runtastic, the fitness app later acquired by Adidas in 2015. The company was initially launched in Hong Kong before relocating to Malaysia two years later.
From the beginning, the premise was straightforward. Businesses were struggling to keep up with customers who had already moved from email and call centers to WhatsApp, Instagram and other messaging platforms. Respond.io built software to help companies manage those conversations across multiple channels in one place.
Today, the platform supports customer interactions across WhatsApp, Instagram, TikTok, Messenger, Line, Telegram, WeChat, voice calls and web chat. The product is aimed primarily at mid- to large-sized consumer-facing businesses that rely heavily on back-and-forth conversations before a purchase happens.
Salandra describes those buyers as “high-consideration” customers, meaning they often need to ask questions, compare options and speak with a representative before making a decision.
Salandra says these businesses do not sell like a typical checkout transaction online; instead, they depend on conversations to move a buyer toward a decision, particularly in categories such as healthcare, automotive, retail, education and travel.
The startup says its sweet spot is companies with roughly 200 to 10,000 employees, a range that includes businesses large enough to need automation and coordination, but still small enough to want flexibility and quick deployment.
How Respond.io makes money — and why that matters in the AI era
One reason Respond.io is attracting attention is that its economics differ from many traditional software vendors. Rather than charging strictly per employee seat, the company charges according to the volume of conversations handled on the platform.
That model gives it an advantage in the current AI cycle. If a company replaces a human support agent with an AI assistant, the number of seats may go down, but conversation volume can stay the same or increase. In other words, Respond.io can benefit even if the person on the other side of the screen changes from a human to a bot.
Salandra argues that this structure makes the company less vulnerable to the same pricing pressures facing older software products built for human agents. He says businesses that bill per seat risk losing revenue when automation reduces the number of users logging in, but Respond.io is paid for usage, not headcount.
That distinction is especially important as the market debates whether general-purpose AI tools will absorb functions once handled by specialized platforms. Salandra believes the company’s existing footprint, messaging focus and data advantage make that threat less immediate than it might appear.
The data flywheel at the center of the pitch
Respond.io says it is currently processing about 2 billion messages every quarter. Salandra argues that scale creates a reinforcing loop: more messages improve the company’s AI systems, better AI attracts more customers, and more customers produce still more conversation data.
That feedback loop, he says, is one of the strongest arguments for the company’s long-term defensibility. It also explains why a business that started before the current generative AI boom may have a meaningful lead over newer entrants trying to build similar tools from scratch.
Salandra says the company’s longevity and data volume give it a stronger base for AI performance than rivals that entered the messaging market more recently.
He also points to the broader direction of customer behavior. In his view, the spread of AI does not weaken Respond.io’s position; instead, it accelerates the transition toward conversational commerce and automated customer handling.
Financial momentum and a profitable growth story
The numbers behind Respond.io’s growth help explain why investors were willing to write a larger check. The company says it has reached $35 million in ARR, up 169% from a year earlier, while maintaining a 30% profit margin. That combination of speed and profitability is unusual in a software market where many startups prioritize growth at the expense of margins.
For a company based in Malaysia, the announcement also illustrates how global software businesses can emerge outside the traditional startup hubs of San Francisco, New York and London. Respond.io is selling into customers across multiple regions and has built a revenue base that is already spread across Asia, Latin America, the Middle East and Africa, with North America and Western Europe now gaining faster traction.
| Metric | Figure | Context |
|---|---|---|
| Series B funding | $62.5 million | Led by Camber Partners with participation from Endeavor Catalyst and existing investors |
| Previous round | $7 million Series A | Raised in 2022 |
| Annual recurring revenue | $35 million | Company-reported ARR |
| Year-over-year growth | 169% | Reported by the company |
| Profit margin | 30% | Company-reported margin |
| Message volume | 2 billion per quarter | Current processing volume |
Where the company is strongest today
Respond.io says its revenue mix is still weighted toward markets outside the West, but the balance is changing. Roughly 30% of revenue comes from Asia-Pacific, another 30% from Latin America and 20% from the Middle East and Africa. North America and Western Europe together account for the remaining 20%.
Those Western markets are now the company’s fastest-growing, according to Salandra. He says businesses there are finally moving away from legacy systems centered on email and phone support and toward messaging-based customer engagement.
That shift matters because many of the best-known enterprise software vendors were built for a different communication era. Salandra argues that their products often treat messaging as a secondary feature rather than the primary interface, leaving room for a specialist like Respond.io.
In Salandra’s view, older competitors from North America and Europe were designed around email and voice-first workflows, which makes messaging feel bolted on rather than native to the product experience.
The company’s bet is that customer service, sales and lead qualification are converging into one conversational workflow. If that proves true, the software handling those interactions could become more valuable as automation grows more sophisticated.
Why acquisitions are now on the table
With new capital in hand, Respond.io plans to pursue three tracks at once: hiring, organic expansion and mergers and acquisitions.
The M&A strategy has two layers. One involves buying technical capabilities that can be added directly to Respond.io’s current product stack. The other involves acquiring teams and customer relationships in markets where the company wants to grow quickly, especially North America and Europe.
For Salandra, the appeal of acquiring a company is not only the product but also the time saved. Buying a business with an established customer base and local team can compress the expansion timeline by months.
Salandra says the right acquisition could save the company six months to a year by giving it immediate access to staff and customers in target markets.
He says Respond.io is already in talks with more than one potential acquisition candidate, though he did not identify the companies involved.
What kinds of targets make sense
- Technology add-ons: tools that strengthen automation, routing, analytics or AI capabilities.
- Regional footholds: businesses with established customer relationships in the U.S. or Europe.
- Specialized teams: groups that can help accelerate local sales, implementation and support.
That approach suggests the company sees M&A not as a rescue strategy but as a growth shortcut. In a market moving quickly toward AI-native customer engagement, speed may matter as much as scale.
AI agents and the changing customer conversation
Respond.io’s pitch also reflects a broader industry shift: software is moving from dashboards and tickets toward AI agents that act on behalf of businesses. In customer support and sales, that means systems can answer routine questions, capture intent, route leads and continue conversations with little or no human oversight.
For companies selling expensive or complex products, those capabilities can have immediate commercial value. A car buyer may ask about financing, trade-ins and availability before ever visiting a showroom. A patient booking a medical service may want insurance details, opening hours and follow-up support. A student choosing an educational program may need counseling before applying.
Those are exactly the situations Respond.io says it is designed for. The company’s AI tools are intended to help businesses handle high inquiry volumes while staying responsive across channels where customers already spend time.
That use case has become more important as messaging apps turn into front doors for sales and service. In many markets, customers now expect a faster, more informal exchange than email can provide. For businesses, the challenge is not just replying faster, but doing so consistently and at scale.
Competitive pressure and the ChatGPT question
Any company built around AI now faces the same strategic question: what happens if a general-purpose model can do the same job?
Respond.io is aware of that risk, especially as tools like ChatGPT, enterprise copilots and AI agents become more accessible. But Salandra believes the company is not merely wrapping AI around a generic inbox. Instead, he says its value lies in specialization: message volume, workflow design, channel integrations and a long-running operational dataset.
That framing is important. General AI systems can answer questions, but they do not automatically solve the operational challenge of managing customer interactions across dozens of channels, tracking leads, coordinating teams and measuring revenue impact.
Respond.io’s argument is that it is not competing only on intelligence. It is competing on infrastructure, workflow and domain-specific data. If AI becomes more powerful, the company believes its own platform becomes more useful, not less.
From Southeast Asia to the West
Respond.io’s growth trajectory also reflects a wider pattern in global software: companies founded in emerging markets are increasingly aiming for customers in the U.S. and Europe rather than limiting themselves to local demand. The company’s current revenue mix shows it is already international, but the next phase is clearly aimed at deeper penetration in the highest-value markets.
That expansion will not be purely about sales. It will require support operations, customer success, compliance, localization and a competitive product that can stand up against established software vendors. It may also require acquisitions that bring in not just customers but market knowledge.
For Malaysia, a successful expansion could be significant. The country has produced a growing number of regional tech companies, but few have achieved the kind of scale that turns them into internationally relevant software businesses. Respond.io’s latest financing gives it a chance to become one of the clearest examples yet.
What happens next
The company is not presenting itself as a hypergrowth story at any cost. Salandra says discipline remains a priority even after the financing. That is notable in an AI market where some startups are still spending heavily to chase market share before unit economics are proven.
Respond.io appears to be taking the opposite route: profitable growth first, strategic acquisitions second, and an eventual public listing as the long-term prize.
Asked about his preferred outcome, Salandra pointed to the public markets.
His ideal endgame, he said, would be to ring the opening bell on Nasdaq.
That aspiration is still years away, but the company’s latest fundraising suggests it has moved from being a regional success story to a platform with global ambitions. If its messaging-first, AI-powered model continues to gain traction in Western markets, Respond.io could find itself in the middle of a much larger conversation about how businesses talk to customers in the age of automation.
Key takeaways
- Respond.io has raised $62.5 million in a Series B led by Camber Partners.
- The Malaysia-based company reports $35 million in ARR, 169% year-over-year growth and a 30% profit margin.
- Its platform manages customer conversations across major messaging apps and uses AI agents to automate support and sales workflows.
- North America and Western Europe are its fastest-growing regions and likely its next major expansion focus.
- The company plans to use the capital for hiring, organic growth and acquisitions.
For now, Respond.io is positioning itself as both a messaging infrastructure company and an AI automation platform. The bet is that those two identities will increasingly reinforce each other as customer communication continues to move away from email and toward instant, conversational channels.
