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Live Helper Chat ships MCP support, making self-hosted customer chat an AI-queryable endpoint
A side-by-side editorial comparison of Kustomer and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Kustomer | Hatz AI |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | ai-agents, observability, knowledge-sources, monthly-releases | msp, ai-platform, phone-agents, shadow-ai |
| Last editorial update | 1mo ago | 11d ago |
| Website | Visit → | — |
Kustomer is layering intelligence on the agent desktop, one monthly release at a time.
Kustomer ships a dated monthly digest and the current window runs from November 2025 to March 2026: natural-language Data Explorer, Guru wired in as an AI Agent knowledge source, an AI Observability Assistant to GA, two-way translation on AWS Nova, and in March the GA of Signals, a layer that continuously reads customer behaviour and conversation history. The undated rows add a May release whose substance is sorting searches by custom attributes.
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.
Kustomer ships a dated monthly digest and the current window runs from November 2025 to March 2026: natural-language Data Explorer, Guru wired in as an AI Agent knowledge source, an AI Observability Assistant to GA, two-way translation on AWS Nova, and in March the GA of Signals, a layer that continuously reads customer behaviour and conversation history. The undated rows add a May release whose substance is sorting searches by custom attributes.
The pattern is consistent: every month adds either a place the AI can read from or a place a supervisor can watch it. Knowledge sources, observability and Signals together describe a support platform where the agent-facing AI is assumed and the remaining work is grounding it in the org's own data and proving what it did. The pace of directional releases has slowed since March, with May's note reading as housekeeping.
Signals is the piece with room to grow — expect it to move from surfacing intelligence to triggering workflows, with the observability tooling extended to cover those automated actions.
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 Kustomer or Hatz AI.
Live Helper Chat ships MCP support, making self-hosted customer chat an AI-queryable endpoint
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Freshchat keeps product moves off the public record — changelog offers nothing to track.
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See all Kustomer 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 Kustomer alternatives in Support are ranked by recent ship velocity. Browse the "Kustomer alternatives" section above for the current picks, or visit /alternatives/kustomer 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.