Enterprise AI without data compromise, surprise bills, or vendor lock-in.

If you’re comparing Hatz.ai to Copilot or other mainstream assistants, book a discovery call to review your privacy requirements, compliance posture, and cost model—based on how your organization actually operates.

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If you’re comparing Hatz.ai to Copilot and other mainstream AI assistants, the real question is whether the platform can meet enterprise standards—not just produce good outputs. Hatz.ai is designed for organizations that need stronger guarantees around data handling, governance, and continuity, especially in regulated or security-sensitive environments.

Privacy is built in by design. Customer data is never used to train third-party models, there’s no data harvesting for telemetry or advertising, and you retain full ownership of your data at all times. Where required, Hatz.ai can be deployed on private cloud or on premises to meet stricter internal and customer requirements.

Hatz.ai also prioritizes data isolation and compliance controls rather than shared “one-size-fits-all” environments. It’s built with logical and physical isolation between tenants, along with retention and deletion controls set by you, so your AI usage can align with internal governance frameworks and support audit readiness while reducing legal exposure.

Cost and operations are handled with the same enterprise mindset. Instead of per-seat pricing and tier limits that can create unpredictable bills or abrupt service cutoffs, Hatz.ai offers a predictable subscription with pooled credits across users, drawing down only for active usage. When demand exceeds capacity, it throttles gracefully rather than interrupting productivity—backed by enterprise management features like centralized administration, role-based access control, usage governance, audit trails, and reporting, without forcing deeper vendor lock-in.