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 Olark — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | Olark |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 0.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | msp-channel, phone-agents, model-selector, multi-tenant-admin | customer support, ai assistants, ui rebuild, knowledge ingestion |
| Last editorial update | 4d ago | 3mo ago |
| Website | — | — |
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.
Olark rebuilds around v2 — new layout, AI Assistants surface, in-product bot evaluation.
Olark is mid-rollout of v2, a full interface rebuild that landed in mid-2025. The AI Assistants area is now structured around Knowledge / Persona / Evaluation tabs, with bot review and feedback (thumbs up/down on individual answers) happening directly in-product. Knowledge ingestion has expanded to JSON and ZIP files plus much larger website crawls. Smaller v2 quality-of-life touches keep landing — collapsed agent menus, static offline messages, Group ID exposure for API users.
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.
Olark is mid-rollout of v2, a full interface rebuild that landed in mid-2025. The AI Assistants area is now structured around Knowledge / Persona / Evaluation tabs, with bot review and feedback (thumbs up/down on individual answers) happening directly in-product. Knowledge ingestion has expanded to JSON and ZIP files plus much larger website crawls. Smaller v2 quality-of-life touches keep landing — collapsed agent menus, static offline messages, Group ID exposure for API users.
The product is being rebuilt around AI-assisted chat support, not bolted on. The Evaluation tab in particular signals a closed-loop training direction — agents tune the bot from real conversations rather than configuring it abstractly. v2 is also shedding classic settings page by page; expect that migration to keep producing visible incremental wins.
Next moves likely deepen the bot evaluation loop — automatic quality scoring, suggested knowledge updates from low-rated answers — and continue retiring classic surfaces. A pricing/tiering revisit around AI usage is plausible once the v2 migration has run its course.
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 Olark.
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 Olark 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 0.0), 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 0.0), 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 Olark alternatives in Support are ranked by recent ship velocity. Browse the "Olark alternatives" section above for the current picks, or visit /alternatives/olark for the full list with editorial commentary on each.