Malaysia's Respond.io raises $62.5M for AI agents on business messaging apps

Malaysia's Respond.io has raised $62.5M to develop AI agents for business messaging. The startup serves companies with a high volume of customer inquiries and charges per conversation rather than per employee, an unusual model for the market. The new funds will go toward acquisitions in North America and Europe.

AI-processed from TechCrunch; edited by Hamidun News
Malaysia's Respond.io raises $62.5M for AI agents on business messaging apps
Source: TechCrunch. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceTechCrunch ↗
Editor-in-Chief
Supported channelsWhatsApp Business API, Telegram, Facebook Messenger, LINE, Viber, WeChat
Target customerse-commerce, fintech, telecom, insurance, all segments with high inbound traffic
Monetizationpay per conversation, not per user, which is unusual for B2B SaaS

Respond.io, a Malaysian startup building AI agents for business messengers, has closed a $62.5M round and announced plans for acquisitions in North America and Europe. The company is among Malaysia's most prominent tech startups and is betting on a non-standard monetization model that changes the economics of customer support.

How the platform works

Respond.io builds an environment in which AI agents talk to customers in popular messengers: WhatsApp, Telegram, Facebook Messenger, LINE and other channels. The agents handle incoming requests, qualify inquiries, answer routine questions and, when necessary, hand the conversation to a human operator, preserving the history and context of the exchange.

The key difference from competitors is per-conversation pricing rather than per-seat. Traditional customer support platforms charge for the number of seats or active operators. Respond.io charges for each closed conversation, regardless of who handled it: an AI agent or an employee.

This changes the calculation for businesses with heavy inbound traffic. As load grows, a company does not need to hire extra staff or buy new licenses: the platform scales agents automatically and handles thousands of conversations in parallel without a drop in quality.

  • Supported channels: WhatsApp Business API, Telegram, Facebook Messenger, LINE, Viber, WeChat
  • Target customers: e-commerce, fintech, telecom, insurance, all segments with high inbound traffic
  • Monetization: pay per conversation, not per user, which is unusual for B2B SaaS
  • Key features: conversation routing, AI replies, analytics, CRM integration

Where the $62.5M is going

The round is significant for the Malaysian tech ecosystem. The funds will go in two directions: organic product development (R&D, team expansion, better AI models) and inorganic growth through acquisitions of companies in North America and Europe.

The M&A strategy is a deliberate choice. Building a customer base from scratch in the US and Europe means years of work without brand recognition and with a weak grasp of local specifics. Acquiring players that already have customers, teams and partnerships is a much faster and more predictable path to scale.

Expanding into Western markets also diversifies revenue: Southeast Asia remains the main market, but dependence on a single region creates risk in the event of economic or regulatory change.

Competitive context

The market for AI agents in customer communications is growing fast. Large players such as Intercom, Zendesk, Freshworks and Salesforce Service Cloud are actively integrating AI into their products. However, all of them were built on a seat-based model and are changing gradually, often keeping hybrid pricing, which makes selling AI solutions to large customers awkward.

Respond.io was designed from the start for a conversation-based economy. That is a structural advantage that is hard for established players to replicate without rebuilding their entire monetization model.

Southeast Asia proved an ideal launch market: high messenger penetration, aggressive e-commerce and high business sensitivity to operating costs made the per-conversation value proposition resonate especially strongly. Now the company is carrying the model to the more mature and competitive markets of the West.

What this means

Respond.io shows that the AI-agent model in customer communications has matured enough for large investments and global expansion. For B2B companies with a high volume of inquiries, it is a signal that per-conversation economics is starting to displace traditional contact-center solutions, and that startups from Southeast Asia are increasingly entering Western markets once dominated by American and European vendors.

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Story

Key Questions Answered

How the platform works?

Respond.io builds an environment in which AI agents talk to customers in popular messengers: WhatsApp, Telegram, Facebook Messenger, LINE and other channels. The agents handle incoming requests, qualify inquiries, answer routine questions and, when necessary, hand the conversation to a human operator, preserving the history and context of the exchange. The key difference from competitors is per-conversation pricing rather than per-seat. Traditional customer support platforms charge for the number of seats or active operators. Respond.io charges for each closed conversation,

Where the $62.5M is going?

The round is significant for the Malaysian tech ecosystem. The funds will go in two directions: organic product development (R&D, team expansion, better AI models) and inorganic growth through acquisitions of companies in North America and Europe. The M&A strategy is a deliberate choice. Building a customer base from scratch in the US and Europe means years of work without brand recognition and with a weak grasp of local specifics. Acquiring players that already have customers, teams and partnerships is a much faster and more predictable path to scale. Expanding into Wester

What are the key details on Competitive context?

The market for AI agents in customer communications is growing fast. Large players such as Intercom, Zendesk, Freshworks and Salesforce Service Cloud are actively integrating AI into their products. However, all of them were built on a seat-based model and are changing gradually, often keeping hybrid pricing, which makes selling AI solutions to large customers awkward. Respond.io was designed from the start for a conversation-based economy. That is a structural advantage that is hard for established players to replicate without rebuilding their entire monetization model. So

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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