Agiloft vs Infobip
Side-by-side trajectory, velocity, and editorial themes.
Agiloft is on Release 33 with a steady core/connected-services cadence — feed signal is thin past the version number.
The tracked entries are dominated by scraped release-notes index and cadence boilerplate (Core Platform on a February/July/November functional cadence with monthly maintenance, plus monthly Connected Services). The substantive crumb in the window is that Release 33 has shipped (entry references the move from Release 32), and a UX modernization adding live partial-match typeahead on common field types is visible in the content body of one entry.
Agiloft is operating like a mature enterprise platform — predictable release calendar, monthly maintenance, incremental UX modernization on field types. Whatever AI/CLM-AI work is in motion isn't visible through this feed shape. The product is being shipped, but the changelog scraper is mostly catching index pages rather than the meaningful per-feature notes.
Realistically the next visible move will be Release 34 with the July functional bundle, plus Connected Services rollouts each month between now and then. The bigger question — whether Agiloft has an answer to the agentic-CLM motion at Ironclad and Sirion — can't be read out of the current feed.
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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