INKY vs Hiver
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.
Hiver pivots from Gmail-only to AI-grounded omnichannel.
The recent feed shows two parallel pushes: an AI knowledge layer (Google Drive, Confluence, and Google Sheets becoming Ask-AI-queryable sources) and a channel-expansion push (Slack as a managed customer-service channel inside Hiver Omni, plus omnichannel search and automation primitives that work across email/chat/Slack). Automation gets meaningful new building blocks too — API calls as actions, new triggers and conditions.
Hiver is repositioning from 'shared inboxes inside Gmail' to 'AI-grounded omnichannel customer service platform.' The Slack-as-channel and API-call automation moves directly compete with Front, Help Scout, and the lightweight tier of Zendesk. The AI knowledge-source work is laying the grounding layer that turns Hiver AI from a reply-suggester into something closer to a tier-1 agent.
Expect a Microsoft Teams channel addition, more knowledge-source connectors (Notion, SharePoint, Salesforce KB), and a packaged 'AI Agent' tier that bundles Ask AI + grounded sources + automation actions into something that resolves tickets autonomously. Pricing for AI usage is the next question — flat seats won't survive heavy Ask-AI workloads on customer data.
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