Plain
Plain built an autonomous support agent, and has now built the controls to trust it.
A side-by-side editorial comparison of Deskpro and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Deskpro | Hatz AI |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 5.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | ai governance, private ai, helpdesk, model providers | msp-channel, phone-agents, model-selector, multi-tenant-admin |
| Last editorial update | 6d ago | 4d ago |
| Website | Visit → | — |
Deskpro's last four releases tell one story: making AI safe enough for regulated buyers.
Deskpro ships large, infrequent releases that pair a headline AI change with a long tail of fixes. 2026.4 sits at the polish end of that cycle — reply routing back to the address a person actually wrote from, Help Centre articles saving again, the Macros admin page loading on MariaDB — with one structural change: AI features now resolve datasource access from the trusted service making the request rather than from the request itself.
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.
Deskpro ships large, infrequent releases that pair a headline AI change with a long tail of fixes. 2026.4 sits at the polish end of that cycle — reply routing back to the address a person actually wrote from, Help Centre articles saving again, the Macros admin page loading on MariaDB — with one structural change: AI features now resolve datasource access from the trusted service making the request rather than from the request itself.
Since late 2025 the through-line has been control over where inference runs and what it can read: self-hosted Private AI, then Berget AI for European hosting, then Snippets as a grounded reply source, then selective re-indexing so large help desks could actually use it, now server-side datasource permissions. Model choice keeps broadening alongside it — Gemini 3 Pro arrived in 2026.3 — but governance, not model access, is what separates these releases from competitors'.
Expect the next release to continue on AI permissions and audit visibility plus additional model providers; the accessibility work spread across admin pages suggests the WCAG effort is mid-flight rather than finished.
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.
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 Deskpro or Hatz AI.
Plain built an autonomous support agent, and has now built the controls to trust it.
Sleekplan rebuilt itself around AI triage, then put the feedback board inside ChatGPT.
Comm100 publishes steadily about AI support — none of it is Comm100 shipping anything.
respond.io is layering an agent-authoring copilot and consumption billing on top of its omnichannel inbox.
A teaser-only content feed making one argument: AI in the contact center fails on knowledge, not models.
A steady SEO blog on SMS basics, with the occasional ecommerce integration walkthrough.
See all Deskpro 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 5.0), 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 5.0), 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 Deskpro alternatives in Support are ranked by recent ship velocity. Browse the "Deskpro alternatives" section above for the current picks, or visit /alternatives/deskpro 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.