Respond.io
respond.io is widening what a conversation can hold - more channels, and now more than one owner.
A side-by-side editorial comparison of Hatz AI and Hiver — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | Hiver |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 0.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | msp-channel, phone-agents, model-selector, multi-tenant-admin | customer-support, gmail, ai-knowledge, omnichannel |
| Last editorial update | 4d ago | 20d ago |
| Website | — | Visit → |
Hatz sells through MSPs, and its roadmap has started to serve the partner more than the end user
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Gmail-based support tooling wiring internal docs into its AI and unifying search across channels
Hiver's April releases center on grounding its AI in a company's own material. Confluence pages, Google Docs and Google Sheets can be added as knowledge sources, and Ask AI can query an uploaded Sheet directly — answering questions like top customers by revenue without manual analysis. Alongside that, Omnichannel Search spans email, chat and Slack with unified results and channel attribution, and automations gained a trigger for conversations moved into a shared inbox. Each release appears twice in the feed.
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Two arcs run in parallel. The phone agent is being hardened into a product an MSP can deploy repeatedly across client sites — duplicate it onto a new number, reassign it to a different tenant, cap its minutes — while Activate supplies the partner with the shadow-AI scan and enablement material that starts the sales conversation. Model additions continue but carry no direction; they are table stakes restated every few weeks.
Expect more tenant- and partner-scoped administration, since renaming tenants and invoicing over the API both landed this window and point at MSPs managing many clients programmatically. The phone agent's usage-based pricing suggests metering and limits will keep expanding ahead of any new end-user capability.
Hiver's April releases center on grounding its AI in a company's own material. Confluence pages, Google Docs and Google Sheets can be added as knowledge sources, and Ask AI can query an uploaded Sheet directly — answering questions like top customers by revenue without manual analysis. Alongside that, Omnichannel Search spans email, chat and Slack with unified results and channel attribution, and automations gained a trigger for conversations moved into a shared inbox. Each release appears twice in the feed.
The product is extending past the shared-inbox job into being the place a support agent finds any answer. Knowledge sources make the AI useful on internal SOPs rather than generic replies; omnichannel search makes prior context findable regardless of where the conversation happened. Both reduce the reasons an agent leaves Gmail, which is the whole premise Hiver sells on.
Expect more knowledge source connectors on the pattern set by Drive and Confluence, since the Sheets query capability shows the ingestion path already handles structured as well as prose content.
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 Hatz AI or Hiver.
respond.io is widening what a conversation can hold - more channels, and now more than one owner.
Live Helper Chat keeps adding the oversight surfaces a supervised support floor needs.
Two maintained branches, a build-stamp version scheme, and a steady diet of defect fixes.
Post-rebuild Sleekplan is adding the objects a feedback board never had: docs and components.
Plain built an autonomous support agent, and has now built the controls to trust it.
Comm100 publishes steadily about AI support — none of it is Comm100 shipping anything.
See all Hatz AI alternatives → · See all Hiver 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 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.
Top Hiver alternatives in Support are ranked by recent ship velocity. Browse the "Hiver alternatives" section above for the current picks, or visit /alternatives/hiver for the full list with editorial commentary on each.