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Comparison · Support
Re:amaze vs Hatz AI
A side-by-side editorial comparison of Re:amaze and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
Re:amaze vs Hatz AI: at a glance
| Feature | Re:amaze | Hatz AI |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 2.5 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | customer-support, ai-agents, ecommerce, inbox-automation | msp, ai-platform, phone-agents, shadow-ai |
| Last editorial update | 21d ago | 12d ago |
| Website | Visit → | — |
What is Re:amaze?
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.
What is Hatz AI?
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.
Re:amaze vs Hatz AI: editorial side-by-side
Re:amaze
2.5SUPPORT
Re:amaze keeps adding stages to the pipeline before a human sees a ticket
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Hatz AI
6.3SUPPORT
Hatz AI launched Activate for MSP AI deployments and made phone agents self-service in back-to-back releases
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to Re:amaze and Hatz AI
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 Re:amaze or Hatz AI.
Formbricks
Formbricks 6.0 RC cycle reveals commercial hardening: lower self-hosted cap, MCP OAuth, and Act as Beta
SolarWinds Service Desk
SolarWinds Service Desk is loading its Labs pipeline with native Entra ID automation, IT asset tracking, and compliance-ready task management.
Freshchat
Freshchat keeps product moves off the public record — changelog offers nothing to track.
Freshdesk
Freshdesk's changelog feed contains only marketing copy — no substantive release data available.
TeamViewer
TeamViewer's scraped feed contains only community marketing fragments—no actual release data.
See all Re:amaze alternatives → · See all Hatz AI alternatives →
Recent activity from Re:amaze and Hatz AI
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 12d agoHatz AIHatz Learn Resources, Claude Fable 5.1, GLM 5.3, Gemini 3.8 Flash, Activate Shadow AI and PSA Sync Improvements
- 19d agoHatz AIHatz AI: Phone agents become self-service for tenants; Hatz Learn moves in-house ⚡
- 26d agoHatz AIShared Integration Credentials, Gemini 3.7 Flash, DeepSeek V4 Pro 0813, Phone Agent Tools and Approved Callers
- 1mo agoRe:amazeHow to Automate Your Support Inbox with AI Pre-Filter
- 1mo agoHatz AIAttachment-Only Messages, Tenant Renaming, Invoices Over the API, Phone Agent Drafts and Silence Controls
- 1mo agoHatz AIDeepSeek V4 Flash 0731, Self-Reporting Credit Usage, Phone Agent Pause/Reassign/Duplicate, Artifact Presentation Mode, Auto-Tool Selection Notice
- 1mo agoHatz AIHatz Activate: MSP AI deployment command center with Shadow AI scanning and PSA sync ⚡
- 2mo agoRe:amazeWhat’s New in Re:amaze: A Fresh Set of AI Customer Support Tools ⚡
- 3mo agoRe:amazeHow to Write Help Center Articles for Better AI Answers
- 4mo agoRe:amazeAmazon Prime Day 2026 Is Moving to June — How to Prepare
- 5mo agoRe:amazeAI Agent for Customer Support: Now Supports Email and SMS
- 5mo agoRe:amazeAI Customer Intent Detection, Now Smarter in Re:amaze
Frequently asked questions
What is the difference between Re:amaze and Hatz AI?
They serve adjacent needs but don't currently overlap on shipped themes. Hatz AI is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.
Is Re:amaze better than Hatz AI?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatz AI is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.
What are the best alternatives to Re:amaze?
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.
What are the best alternatives to Hatz AI?
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.