Editorial illustration for Malaysia’s Respond.io raises USD 62.5M to expand AI messaging, target acquisitions
Malaysia’s Respond.io raises USD 62.5M to expand AI...
Malaysia’s Respond.io raises USD 62.5M to expand AI messaging, target acquisitions
In 2017, a trio of founders—Gerardo Salandra, Hassan Ahmed and Iaroslav Kudritskiy—launched Respond.io to tackle a growing blind spot: businesses were losing customers to messaging apps. Fast forward to today, the Kuala Lumpur‑based startup runs a conversation‑management platform that stitches together WhatsApp, Instagram, TikTok, Messenger, Line, Telegram, WeChat, voice calls and web chat. While the tech is impressive, its real edge lies in AI agents that field high‑volume inquiries, qualify leads and even close sales without a human hand.
The company now reports $35 million in annual recurring revenue, a 169 percent year‑over‑year jump, and a 30 percent profit margin. A $62.5 million Series B led by Camber Partners—joined by Endeavor Catalyst and existing backers—pushes the firm toward its next phase, which includes potential acquisitions. Salandra, a former IBM and Google veteran who later helped sell Runtastic to Adidas, says the sweet spot is “high‑consideration” sectors such as healthcare, automotive and travel, where buyers still want a real conversation before committing.
Because we started so long ago and we have such a strong foundation, we can provide better AI compared to someone who just entered into the messaging space.” With the new capital, Salandra said the company plans to pursue hiring, organic growth and acquisitions.
Why this matters
Respond.io’s $62.5 million Series B shows investors are betting on a messaging‑first approach that still feels niche outside Southeast Asia. For developers, the platform’s AI‑driven agents suggest new APIs for routing conversations that bypass traditional email‑centric stacks. Founders can see a clear signal: businesses are willing to fund tools that claim to keep up with customers on chat apps, yet the quote “But we don’t charge like that” hints at a pricing model that may differ from established players.
Researchers might note the shift from bolt‑on messaging to a purpose‑built conversation manager, but it’s unclear whether this model will attract enough enterprise contracts to sustain rapid expansion. The funding round also signals appetite for acquisitions, potentially consolidating smaller AI‑messaging firms under Respond.io’s umbrella. We should watch how the company balances growth with the need to prove that AI agents can truly replace the email‑call workflows that dominate the West, and whether its valuation reflects lasting value or a momentary hype.
Further Reading
- Papers with Code - Latest NLP Research - Papers with Code
- Hugging Face Daily Papers - Hugging Face
- ArXiv CS.CL (Computation and Language) - ArXiv
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