Twilio vs Infobip
Side-by-side trajectory, velocity, and editorial themes.
Twilio reframes itself as the conversation layer for AI agents, not just a messaging API.
Twilio just shipped a coordinated batch of GA launches anchored on a new Conversations layer: Agent Connect SDK, Conversation Memory, Conversation Intelligence, Enterprise Knowledge, and Conversation Relay Insights all moved to GA on the same day. Alongside that, Apple Messages for Business is in private beta and a Bulk Messaging API is in public beta. The platform's center of gravity has clearly shifted from raw channel APIs to an AI-agent orchestration stack sitting on top of them.
Twilio is repositioning the company as the runtime where customer-facing AI agents live — owning memory, intelligence, channel reach, and observability, not just message delivery. The packaging is deliberate: each piece is shippable alone, but together they form an opinionated stack that competes head-on with Salesforce/Genesys agent platforms and with developer-first stacks like LiveKit. Expect Twilio to push hard on lock-in through Conversation Orchestrator as the binding layer.
Next likely moves: GA for Apple Messages for Business, and an expansion of the Agent Connect SDK toward third-party LLM and tool integrations to position it as the de-facto agent runtime on top of Twilio's channels. A Bulk Messaging GA and pricing for the AI features should follow within one to two quarters.
Infobip is rebuilding its CPaaS stack around AI agents, MCP servers, and AgentOS.
Recent quarterly updates (Q3 and Q4 2025, Q1 2026) frame a consistent direction: AI as a first-class layer of customer-communications infrastructure, with AgentOS unifying agent management and MCP servers exposing telephony and messaging channels to LLM-driven agents. Surrounding the AI work are channel upgrades (WhatsApp Business Calling, RCS onboarding, Vocalize voice) and CDP/CRM integration depth. The crawler captured a lot of page chrome — most of the recent feed is generic CTAs and section headers — but the substantive entries paint a clear AI-CPaaS thesis.
Infobip is racing Twilio, Bandwidth and Sinch to define what 'AI-native CPaaS' actually looks like. The MCP server angle is the most interesting bet: if it sticks, every AI agent build becomes a potential Infobip integration, not just contact-center vendors. Expect continued packaging of channel + AI bundles aimed at enterprise buyers who want one vendor for both.
The next observable moves will be more named integrations between AgentOS and major LLM platforms, additional MCP server coverage across remaining channels (email, voice IVR), and a reference architecture for autonomous customer-service agents that handle real transactions, not just FAQs.
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