Infobip vs Hiver
Side-by-side trajectory, velocity, and editorial themes.
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.
Hiver pivots from Gmail-only to AI-grounded omnichannel.
The recent feed shows two parallel pushes: an AI knowledge layer (Google Drive, Confluence, and Google Sheets becoming Ask-AI-queryable sources) and a channel-expansion push (Slack as a managed customer-service channel inside Hiver Omni, plus omnichannel search and automation primitives that work across email/chat/Slack). Automation gets meaningful new building blocks too — API calls as actions, new triggers and conditions.
Hiver is repositioning from 'shared inboxes inside Gmail' to 'AI-grounded omnichannel customer service platform.' The Slack-as-channel and API-call automation moves directly compete with Front, Help Scout, and the lightweight tier of Zendesk. The AI knowledge-source work is laying the grounding layer that turns Hiver AI from a reply-suggester into something closer to a tier-1 agent.
Expect a Microsoft Teams channel addition, more knowledge-source connectors (Notion, SharePoint, Salesforce KB), and a packaged 'AI Agent' tier that bundles Ask AI + grounded sources + automation actions into something that resolves tickets autonomously. Pricing for AI usage is the next question — flat seats won't survive heavy Ask-AI workloads on customer data.
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