Kayako vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Kayako's public changelog has been silent since mid-2022 — the radar is showing a stalled product.
Kayako has not posted a public changelog entry since June 2022. The most recent communication was a CEO apology over a performance incident and a series of link-only release-notes posts pointing to a Help Center article. The visible operational picture is an established customer-support product no longer broadcasting product motion.
Direction is hard to read from public changelog activity alone, but the trajectory implied by the silence is unmistakable: either the product moved its release communication elsewhere, or development pace slowed enough to stop justifying a regular changelog. Either way, prospects watching only the public surface see no momentum.
Without renewed public activity, Kayako will continue to be perceived as legacy in a category where Zendesk, Intercom, and HelpScout are publishing prominently. A customer-facing changelog refresh would be the lowest-effort signal to send, and is the most likely next move if the product is in fact still under active development.
Hatz AI is building the AI workspace for MSPs — per-message model routing, tenant tooling, custom MCP.
Hatz AI is shipping at a high cadence across three connected themes. First, model routing: Auto-LLM picks the right model per message based on task and tools, then layered into Lite, Performance, and Turbo tiers; the catalog keeps adding models (Opus 4.7, Gemini 3.5 Flash, Gemini 3.1 Flash Lite, Gemma 4) with per-model credit multipliers surfaced in the UI. Second, MSP control plane: bulk tenant creation via CSV, custom roles with credit limits, workshop access controls, and embedded support chat in the admin dashboard. Third, surface expansion: audio uploads with auto-transcription, image generation in workflows, file output attaching to chats, 60+ supported file types, speech-to-text in chat, and a steady cadence of integrations and custom MCP server improvements.
The product is taking shape as a multi-tenant AI workspace tuned for MSPs and partner-led delivery — the tenant CSV, credit limits, and workshop sharing are unusual for a generalist AI tool and tell you who buys this. Auto-LLM and tiered routing make sense in that context: an MSP needs cost control across many tenants without micromanaging model picks. Custom MCP and the broad integration cadence position Hatz as a tools-aggregator over multiple LLMs rather than a model wrapper.
Expect more MSP-centric controls — per-tenant budgets, white-label theming, billing reconciliation — and Auto-LLM to grow visible routing telemetry so MSP admins can see why a given model was picked. The custom MCP surface is likely to evolve toward a marketplace pattern with shareable MCP packages across tenants.
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