Respond.io
Respond.io absorbs WhatsApp's phone-free identity shift while thickening its AI agent.
Comparison · Support
Hatz AI vs Re:amaze
A side-by-side editorial comparison of Hatz AI and Re:amaze — release velocity, themes, recent moves, and the top alternatives to consider.
Hatz AI vs Re:amaze: at a glance
| Feature | Hatz AI | Re:amaze |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 1 | 1 |
| Top themes | msp, ai-agents, phone-agents, workflow-automation | customer-support, ai-agent, helpdesk-automation, intent-detection |
| Last editorial update | 5d ago | 16d ago |
| Website | — | Visit → |
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.
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.
Hatz AI vs Re:amaze: editorial side-by-side
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.
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.
Alternatives to Hatz AI and Re:amaze
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.
Thread
Thread is building an AI-and-voice-native service desk for MSPs
Twilio
Twilio hardens enterprise identity while extending compliance into healthcare
Richpanel
Richpanel is folding the ecommerce support stack into one inbox, integration by integration
LiveAgent
LiveAgent runs a heavy maintenance cadence while quietly wiring in AI-agent billing
Plain
Plain turns Sidekick from a drafting assistant into an agent that acts
See all Hatz AI alternatives → · See all Re:amaze alternatives →
Recent activity from Hatz AI and Re:amaze
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6d agoHatz AIPhone Agent Caller Memory and Business Hours, Smarter Auto-LLM Routing, Human-In-The-Loop Agents
- 8d agoHatz AIClaude Sonnet 5, 7 New LLMs, Microsoft 365 Improvements
- 13d agoHatz AIBlock Model by Role, Agents in Workflows, Usage Based Billing, Phone Agent Warm Transfer ⚡
- 17d agoRe:amazeWhat’s New in Re:amaze: A Fresh Set of AI Customer Support Tools ⚡
- 21d agoHatz AIMulti-Department Phone Routing and Built-in Tool Controls
- 24d agoRe:amazeHow to Write Help Center Articles for Better AI Answers
- 26d agoHatz AIClaude Fable 5 Disabled
- 28d 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
- 3mo 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 Hatz AI and Re:amaze?
They serve adjacent needs but don't currently overlap on shipped themes. Hatz AI and Re:amaze 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 Hatz AI better than Re:amaze?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatz AI and Re:amaze 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 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.
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.