Spiceworks
Spiceworks covers the Microsoft 365 outage from the help desk's side.
A side-by-side editorial comparison of Hatz AI and Re:amaze — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | Re:amaze |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 7.5 | 2.5 |
| Sparks · 30d | 2 | 0 |
| Top themes | msp, ai-agents, automation, governance | customer-support, ai-agents, ecommerce, inbox-automation |
| Last editorial update | 1d ago | 2mo ago |
| Website | — | Visit → |
Hatz 2.0 turns its chat into an agent that plans, browses and saves its work as automations.
Hatz is a multi-model AI platform sold through MSPs. Hatz 2.0, released November 12, merges its Auto tiers into one Auto mode that plans each task, splits it across parallel helpers, works in websites through a controlled browser and saves finished work as repeatable automations. A Vault keeps API keys out of the model's view, and chats can run for up to three hours unattended. The same day added an itemised Subscription Overview for MSP billing and Claude Fable 5.2 and Gemini 4 Carbon in the model catalog, a week after Spaces and the AI Gateway.
Re:amaze keeps adding stages to the pipeline before a human sees a ticket
Re:amaze publishes a blog that doubles as its release channel, and the run since January is a single continuous build: the AI Agent launched as a knowledge-base-backed chatbot, gained smarter intent detection, extended to email and SMS, then a mid-year roundup added visibility into how the agent works and ways to test it before it goes live. The newest entry introduces an AI Pre-Filter that sorts the inbox before any of that runs — separating marketing mail, shipping notices, social mentions and spam from the customers who actually need an answer.
Hatz is a multi-model AI platform sold through MSPs. Hatz 2.0, released November 12, merges its Auto tiers into one Auto mode that plans each task, splits it across parallel helpers, works in websites through a controlled browser and saves finished work as repeatable automations. A Vault keeps API keys out of the model's view, and chats can run for up to three hours unattended. The same day added an itemised Subscription Overview for MSP billing and Claude Fable 5.2 and Gemini 4 Carbon in the model catalog, a week after Spaces and the AI Gateway.
Hatz is moving from a model picker with workflows to an agent runtime that MSPs govern. The November 6 gateway put outside coding agents under Hatz controls; Hatz 2.0 makes its own chat an agent, with approvals, credentials handling and billing visibility for the MSP layer.
Expect the next releases to give MSP admins finer controls over agent runs, such as per-role approval policies, browser site limits and credit caps for automations.
Re:amaze publishes a blog that doubles as its release channel, and the run since January is a single continuous build: the AI Agent launched as a knowledge-base-backed chatbot, gained smarter intent detection, extended to email and SMS, then a mid-year roundup added visibility into how the agent works and ways to test it before it goes live. The newest entry introduces an AI Pre-Filter that sorts the inbox before any of that runs — separating marketing mail, shipping notices, social mentions and spam from the customers who actually need an answer.
The company is working backwards from the reply toward the inbox. First the agent answered questions, then it understood them better, then it reached more channels, then it became inspectable and testable. Pre-filtering is the logical next step upstream: deciding what is even a support conversation. The supporting content — how to write help centre articles for better AI answers, how much support AI should handle — is aimed at customers who have to decide how much of the queue to hand over.
Expect the pre-filter and the agent to be connected into a single routing decision, with escalation rules for the VIP case the announcement explicitly calls out as needing a person.
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 Re:amaze.
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See all Hatz AI alternatives → · See all Re:amaze alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ai-agents — within Support. Hatz AI is currently shipping more aggressively (velocity 7.5 vs 2.5), with 2 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 7.5 vs 2.5), with 2 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 Re:amaze alternatives in Support are ranked by recent ship velocity. Browse the "Re:amaze alternatives" section above for the current picks, or visit /alternatives/reamaze for the full list with editorial commentary on each.