INKY vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Email security platform deepens its absorption into the Kaseya MSP ecosystem with each release.
INKY is an email security platform deeply integrated into the Kaseya MSP ecosystem. The visible release window is dominated by integration plumbing — KaseyaOne role mappings, Autotask Integrated Customer Billing, Graphus and SaaS Defense imports, and partner-facing usage/billing dashboards — alongside steady UX modernization of admin tables and team selectors.
The product is consolidating its place inside Kaseya's MSP stack rather than expanding outward to new buyers. Each release wires further into Kaseya billing, identity, and partner surfaces, and provides one-click pathways from competitor or sibling Kaseya products (Graphus, SaaS Defense). The standalone INKY surface area is being modernized at the same time, but new directional moves are scarce — execution is the focus.
Expect continued Kaseya integration density (BMS, Datto RMM, or Quote Manager are likely next), more bulk-action and partner-tier features, and gradual deprecation of legacy Graphus surfaces as imports complete. Net-new threat-detection or AI capabilities are not visible in this window and unlikely to land before the integration push settles.
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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