ManageEngine ServiceDesk Plus Cloud
ServiceDesk Plus Cloud adds change-scheduling visibility while its Zia and Teams rollout continues by region.
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 | 6.3 | 6.3 |
| Sparks · 30d | 1 | 1 |
| Top themes | customer-support, ai-agent, helpdesk-automation, intent-detection | msp, ai-agents, phone-agents, workflow-automation |
| Last editorial update | 13d ago | 2d ago |
| Website | Visit → | — |
What is Re:amaze?
Re:amaze matures its AI support agent with testing and visibility tools
Re:amaze is a customer-support helpdesk centering its roadmap on its AI Agent. Genuine product posts — multichannel AI Agent across email and SMS, smarter intent detection, and a new set of AI-agent visibility and testing tools — sit interleaved with SEO blog content like help-center writing tips and Prime Day prep. The product is steadily hardening an AI support agent it launched in January 2026.
What is Hatz AI?
Hatz turns its MSP AI platform into an agent-composition and phone-automation system.
Hatz AI is an MSP-oriented AI workspace: a governed model selector plus agents, workflows, integrations, and AI phone agents, sold through managed-service-provider tenancy. Recent releases push hard on two fronts: making phone agents a real front-line call system (routing, warm transfer, caller memory, business hours, post-call workflows) and making agents composable inside workflows. Model breadth keeps expanding, with Sonnet 5 and seven new LLMs added to the selector.
Re:amaze vs Hatz AI: editorial side-by-side
Re:amaze
6.3SUPPORT
Re:amaze matures its AI support agent with testing and visibility tools
◆ Current state
Re:amaze is a customer-support helpdesk centering its roadmap on its AI Agent. Genuine product posts — multichannel AI Agent across email and SMS, smarter intent detection, and a new set of AI-agent visibility and testing tools — sit interleaved with SEO blog content like help-center writing tips and Prime Day prep. The product is steadily hardening an AI support agent it launched in January 2026.
◆ Where it's heading
The arc is consistent: launch the AI Agent, then make it broad and trustworthy. Re:amaze has moved from clearer conversation states to sharper intent detection, to email and SMS coverage, and now to observability and testing so teams can see and validate how the agent behaves before handing it real volume. The recurring blog question — how much support AI should handle — mirrors where the product is steering customers.
◆ Prediction
Expect continued AI-Agent depth: more channels, deeper analytics on agent performance, and controls governing how much volume teams delegate to automation.
Hatz AI
6.3SUPPORT
Hatz turns its MSP AI platform into an agent-composition and phone-automation system.
◆ Current state
Hatz AI is an MSP-oriented AI workspace: a governed model selector plus agents, workflows, integrations, and AI phone agents, sold through managed-service-provider tenancy. Recent releases push hard on two fronts: making phone agents a real front-line call system (routing, warm transfer, caller memory, business hours, post-call workflows) and making agents composable inside workflows. Model breadth keeps expanding, with Sonnet 5 and seven new LLMs added to the selector.
◆ Where it's heading
The direction is from a chat-with-models tool toward an automation platform where saved agents are reusable building blocks and phone agents replace human triage. Governance is a throughline: role-based model, integration, and tool controls, tenant templates, and usage budgets all deepen the MSP multi-tenant control plane. Model selection is increasingly abstracted behind Auto-LLM.
◆ Prediction
Expect further phone-agent autonomy and more agent-as-step composition across workflows, with continued MSP governance controls and ongoing additions to the model roster.
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.
ManageEngine ServiceDesk Plus
ServiceDesk Plus Cloud widens its Zia AI and Microsoft Teams footprint, region by region.
Desk365
Desk365 ships steady bi-monthly helpdesk updates, with asset management now the throughline.
Supportbench
Supportbench's tracked feed is an SEO blog, not a product changelog
Thread
Thread expands from MSP messaging into a full voice channel with AI transcription into tickets.
Twilio
Twilio hardens enterprise identity and compliance while pushing voice AI to mobile.
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.
- 3d agoHatz AIPhone Agent Caller Memory and Business Hours, Smarter Auto-LLM Routing, Human-In-The-Loop Agents
- 4d agoHatz AIClaude Sonnet 5, 7 New LLMs, Microsoft 365 Improvements
- 10d agoHatz AIBlock Model by Role, Agents in Workflows, Usage Based Billing, Phone Agent Warm Transfer ⚡
- 13d agoRe:amazeWhat’s New in Re:amaze: A Fresh Set of AI Customer Support Tools ⚡
- 17d agoHatz AIMulti-Department Phone Routing and Built-in Tool Controls
- 20d agoRe:amazeHow to Write Help Center Articles for Better AI Answers
- 23d agoHatz AIClaude Fable 5 Disabled
- 24d agoHatz AIPhone Agents Post-Call Workflows, Role-Based Integration and Custom MCP Control, Re-run Workflow from Any Step, Integration and Custom MCP Default Settings for Tenant Templates, Outlook Attachment Support
- 2mo agoRe:amazeAmazon Prime Day 2026 Is Moving to June — How to Prepare
- 2mo agoRe:amazeAI Agent for Customer Support: Now Supports Email and SMS
- 2mo agoRe:amazeAI Customer Intent Detection, Now Smarter in Re:amaze
- 3mo agoRe:amazeEcommerce Spring Cleaning: Refresh Your Inbox
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. Re:amaze and Hatz AI are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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. Re:amaze and Hatz AI are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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.