Olark vs Infobip
Side-by-side trajectory, velocity, and editorial themes.
Olark rebuilds around v2 — new layout, AI Assistants surface, in-product bot evaluation.
Olark is mid-rollout of v2, a full interface rebuild that landed in mid-2025. The AI Assistants area is now structured around Knowledge / Persona / Evaluation tabs, with bot review and feedback (thumbs up/down on individual answers) happening directly in-product. Knowledge ingestion has expanded to JSON and ZIP files plus much larger website crawls. Smaller v2 quality-of-life touches keep landing — collapsed agent menus, static offline messages, Group ID exposure for API users.
The product is being rebuilt around AI-assisted chat support, not bolted on. The Evaluation tab in particular signals a closed-loop training direction — agents tune the bot from real conversations rather than configuring it abstractly. v2 is also shedding classic settings page by page; expect that migration to keep producing visible incremental wins.
Next moves likely deepen the bot evaluation loop — automatic quality scoring, suggested knowledge updates from low-rated answers — and continue retiring classic surfaces. A pricing/tiering revisit around AI usage is plausible once the v2 migration has run its course.
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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