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Malaysia’s AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions

In 2017, Respond.io set out to solve a simple problem: businesses couldn’t keep up with customers who had moved to messaging apps. Today Respond, with its customer conversation management software, has become one of the tech success stories of Malaysia. This piece sits on 1 source layers, but the real value is showing why the story should not be skimmed past too quickly.

In 2017, Respond.io set out to solve a simple problem: businesses couldn’t keep up with customers who had moved to messaging apps. Today Respond, with its customer conversation management software, has become one of the tech success stories of Malaysia. The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled.

Emerging The topic has initial corroboration, but the newsroom is still waiting on stronger confirmation.
Reference image for: Malaysia’s AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions
Reference image from TechCrunch AI. TechCrunch AI

In 2017, Respond.io set out to solve a simple problem: businesses couldn’t keep up with customers who had moved to messaging apps. Today Respond, with its customer conversation management software, has become one of the tech success stories of Malaysia. Co-founder and CEO Gerardo Salandra, who worked at IBM and Google before joining Runtastic , a fitness tracking app that was sold to Adidas in 2015, founded Respond in Hong Kong in 2017 alongside Hassan Ahmed (CTO) and laroslav Kudritskiy (COO). TechCrunch AI is the main source layer for now, and the rest should be read as a signal that is still widening. The useful angle sits in the effect on user behavior, revenue flow, or how platforms compete for attention on screen.

What is happening now

In 2017, Respond. io set out to solve a simple problem: businesses couldn’t keep up with customers who had moved to messaging apps. TechCrunch AI form the main source layer behind the core facts in this piece. This is still a developing thread, so the useful part is knowing which source signals are hardening and which ones still need caution. On the internet and business side, the useful question is how much this change shifts user behavior, operating cost, or competitive pressure.

Where the sources line up

TechCrunch AI is the main source layer for now, and the rest should be read as a signal that is still widening. Today Respond, with its customer conversation management software, has become one of the tech success stories of Malaysia. TechCrunch AI form the main source layer behind the core facts in this piece. On the internet and business side, the useful question is how much this change shifts user behavior, operating cost, or competitive pressure. The people who should stay closest to this beat are digital channel managers, online sellers, marketers, community operators, and teams living on traffic or conversion.

The details worth keeping

Co-founder and CEO Gerardo Salandra, who worked at IBM and Google before joining Runtastic , a fitness tracking app that was sold to Adidas in 2015, founded Respond in Hong Kong in 2017 alongside Hassan Ahmed (CTO) and laroslav Kudritskiy (COO). The useful angle sits in the effect on user behavior, revenue flow, or how platforms compete for attention on screen.

Why this matters most

The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled. With 1 source layers on the table, the part worth reading most closely is where firm facts meet the market's early reaction. The team relocated the business to Malaysia two years later. The next step is to see whether the current signals harden into a durable change or fade as a short-lived experiment. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.

What to watch next

The real follow-up is whether the story turns into measurable user, creator, or revenue impact. Patrick Tech Media will keep checking rollout speed, user reaction, and how TechCrunch AI update the next pieces. From 2 early signals, the piece keeps 1 references that are useful for locking the main details in place. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.

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