Zoho Assist vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Mature remote-support tool ships steady platform-compat work while leaning on awards and recap posts for momentum.
Zoho Assist is a stable remote-support product in incremental delivery mode. Recent shipping has focused on platform reach (Wayland for Linux), edge-case access (Virtual Monitor for headless and kiosked machines), and a real Zapier integration. Marketing cadence — awards, comparison posts, recaps — outweighs raw product news, which is normal for a category-leader in a settled market.
The product is broadening surface area at the edges rather than redefining the category. CoBrowse, called out in the 2025 recap, is the biggest directional bet of the year; everything else reads as compatibility and integration backfill. Expect more workflow automation through tools like Zapier and continued effort to close gaps competitors hit (security posture vs AnyDesk, Linux display servers).
Next likely move is an AI-assisted support layer — automated session summaries, suggested next steps for technicians — packaged on top of CoBrowse. Expect deeper Zoho-suite tie-ins before adjacent third-party integrations.
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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