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 Kapture CX — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | Kapture CX |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 5.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | msp-channel, phone-agents, model-selector, multi-tenant-admin | customer-support, agentic-ai, multi-model, ai-pricing |
| Last editorial update | 4d ago | 12d 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.
Kapture argues the agentic-CX case in public while its actual shipping stays off the feed.
Kapture sells AI customer-service software, but the crawled feed is its editorial blog rather than a release stream. The recent posts are market-argument pieces — enterprises hedging with multi-model AI stacks after a vendor deprecated models on two months' notice, why autonomous AI service still needs a human handoff, the case against token-based pricing, and a piece on companies rehiring roles they cut for AI. Rounding it out are an event post and a Croma customer case study.
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.
Kapture sells AI customer-service software, but the crawled feed is its editorial blog rather than a release stream. The recent posts are market-argument pieces — enterprises hedging with multi-model AI stacks after a vendor deprecated models on two months' notice, why autonomous AI service still needs a human handoff, the case against token-based pricing, and a piece on companies rehiring roles they cut for AI. Rounding it out are an event post and a Croma customer case study.
The writing is building a position rather than reporting releases: AI service should be model-agnostic, priced by outcome rather than tokens, and designed with a human escalation path instead of promising full autonomy. Each of those is a competitive stance against vendors selling single-model, token-metered, fully-autonomous agents. It is a coherent argument, and the fact that it appears here instead of a changelog means the product behind it is not observable from this source.
Expect the pricing and multi-model themes to keep recurring, since both are positioned as competitor weaknesses rather than one-off observations. Whether the product delivers on them cannot be judged without a real release feed.
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 Kapture CX.
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 Kapture CX 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 5.0), 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 5.0), 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 Kapture CX alternatives in Support are ranked by recent ship velocity. Browse the "Kapture CX alternatives" section above for the current picks, or visit /alternatives/kapture for the full list with editorial commentary on each.