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A side-by-side editorial comparison of Infobip and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Infobip | Hatz AI |
|---|---|---|
| Sector | Support, Comms | Support |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | cpaas, ai-agents, mcp, omnichannel | msp, ai-platform, phone-agents, shadow-ai |
| Last editorial update | 1mo ago | 12d ago |
| Website | Visit → | — |
A CPaaS rebuilding around AI agents that act, not just channels that deliver
Infobip publishes quarterly roll-ups, and the feed stores each quarter twice — once as a bare label, once as the summary paragraph. Across Q3 2025 to Q1 2026 the through-line is consistent: AgentOS unifying the communication stack, AI agents that take action rather than reply, MCP servers connecting models to real channels, and AI voice work under Vocalize, against continued WhatsApp, RCS and CDP investment.
Hatz AI launched Activate for MSP AI deployments and made phone agents self-service in back-to-back releases
Hatz AI is shipping at a high rate across three threads: model additions (Claude Fable 5.1, Gemini 3.8 Flash, GLM 5.3, DeepSeek variants), phone agent capabilities (pause/duplicate/reassign/silence controls/live look-ups), and MSP-specific tooling (Hatz Activate for Shadow AI scanning and AI rollouts, Hatz Learn moved in-house, PSA sync improvements). The product is positioning as the AI-as-a-service layer for MSPs managing client AI adoption.
Infobip publishes quarterly roll-ups, and the feed stores each quarter twice — once as a bare label, once as the summary paragraph. Across Q3 2025 to Q1 2026 the through-line is consistent: AgentOS unifying the communication stack, AI agents that take action rather than reply, MCP servers connecting models to real channels, and AI voice work under Vocalize, against continued WhatsApp, RCS and CDP investment.
The company is repositioning from delivering messages to running autonomous customer interactions on top of them. Channels are becoming the substrate; the product being sold is the agent layer above. MCP servers matter most here — they make Infobip's channel reach callable by models a customer already runs, rather than requiring Infobip's own agent builder.
Expect the next quarterly to lead with AgentOS depth — orchestration, handoff and measurement across agents — since the channel and MCP groundwork it needs has now shipped over three consecutive quarters.
Hatz AI is shipping at a high rate across three threads: model additions (Claude Fable 5.1, Gemini 3.8 Flash, GLM 5.3, DeepSeek variants), phone agent capabilities (pause/duplicate/reassign/silence controls/live look-ups), and MSP-specific tooling (Hatz Activate for Shadow AI scanning and AI rollouts, Hatz Learn moved in-house, PSA sync improvements). The product is positioning as the AI-as-a-service layer for MSPs managing client AI adoption.
Hatz Activate is the strategic move: a Shadow AI scanning and customer activation workflow built into the admin dashboard turns Hatz from an AI chat platform into a managed AI deployment product for MSPs. Phone agents are becoming a first-class product with their own life cycle — self-service requests, drafts, silence controls, per-minute billing — suggesting Hatz is building toward a full voice AI service layer for MSP clients.
Phone agent features will reach parity with the core chat/workflow surface within two or three releases — approval workflows, templates, and call analytics are the remaining gaps — while Activate will get deeper PSA integrations as MSPs begin using it for active client management rather than just prospecting.
Other Support products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Infobip or Hatz AI.
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See all Infobip alternatives → · See all Hatz AI alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Hatz AI is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatz AI is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Support products to evaluate alongside.
Top Infobip alternatives in Support are ranked by recent ship velocity. Browse the "Infobip alternatives" section above for the current picks, or visit /alternatives/infobip for the full list with editorial commentary on each.
Top Hatz AI alternatives in Support are ranked by recent ship velocity. Browse the "Hatz AI alternatives" section above for the current picks, or visit /alternatives/hatz-ai for the full list with editorial commentary on each.