Plain
Plain built an autonomous support agent, and has now built the controls to trust it.
A side-by-side editorial comparison of Hatz AI and RingCentral — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | RingCentral |
|---|---|---|
| Sector | Support | Support, Comms |
| Velocity score | 6.3 | 1.7 |
| Sparks · 30d | 1 | 0 |
| Top themes | msp-channel, phone-agents, model-selector, multi-tenant-admin | ucaas, contact-center, release-cadence, ai-rebrand |
| Last editorial update | 4d ago | 3mo ago |
| Website | — | Visit → |
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.
RingCentral is in maintenance mode across its UCaaS suite — quarterly point releases, no directional bets.
Recent activity is the standard cadence of release-note pages across RingCentral's product lines: RingEX Core 26.1.2, RingCX 26.1.10, the renamed AI Conversation Expert (formerly RingSense), Contact Center Central planning, plus stale Canvas integration notes from 2020 still surfacing in the changelog feed. Updates are incremental — call handling tweaks, analytics filters, Yealink firmware bumps, scorecard admin options. Nothing is reorienting the platform.
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.
Recent activity is the standard cadence of release-note pages across RingCentral's product lines: RingEX Core 26.1.2, RingCX 26.1.10, the renamed AI Conversation Expert (formerly RingSense), Contact Center Central planning, plus stale Canvas integration notes from 2020 still surfacing in the changelog feed. Updates are incremental — call handling tweaks, analytics filters, Yealink firmware bumps, scorecard admin options. Nothing is reorienting the platform.
RingCentral is grinding through its 26.1 release cycle with the discipline of an enterprise telephony incumbent: predictable quarterly drops, polish on existing surfaces, no platform-shifting moves. The most directional signal — quietly renaming RingSense to AI Conversation Expert — suggests an attempt to distance the AI product from the Ring* family, but the underlying capability isn't materially expanding. The contact center side is where most user-visible feature work is concentrated.
Expect the 26.2 release cycle to land mid-year with more contact-center analytics, deeper CRM workflow hooks in RingCX, and continued AI features positioned around agent assist and call summarization. The pace suggests no near-term reposition; RingCentral is defending share, not pressing forward.
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 RingCentral.
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 Hatz AI alternatives → · See all RingCentral 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 1.7), 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 1.7), 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 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 RingCentral alternatives in Support are ranked by recent ship velocity. Browse the "RingCentral alternatives" section above for the current picks, or visit /alternatives/ringcentral for the full list with editorial commentary on each.