No training on customer data
Operational data is not used to train models, and AI context follows workspace and user permissions.
Your data, your control
Enterprise security isn't a checkbox. It's the architecture.
GearJoT is built for organizations where equipment records, inspections, financials, customer information, AI context, and audit logs need strong control.
Why this matters
Equipment operations break when data, follow-up, and context live in different tools. GearJoT keeps assets, inspections, issues, workflows, collaboration, and AI in one operating loop.
AI that respects your data
GearBot runs inside a governed security model instead of acting like an unrestricted third-party bolt-on.
Permission-aware access
GearBot can only use records and fields the requesting user is allowed to see.
Logged and auditable
AI interactions, accessed context, and configuration changes are part of the audit story.
Enterprise controls
The same governance model applies to users, records, external collaborators, workflows, and custom objects.
Infrastructure
Encryption and isolation
Encrypt data at rest and in transit, enforce tenant boundaries, and preserve tenant context in background jobs.
Access control
Role and field-level permissions
Control who can view or edit sensitive cost, customer, compliance, and operational fields.
Partners
External collaboration scopes
Give dealers, OEMs, vendors, or customers scoped access without exposing internal discussions or unrelated data.
Procurement
Compliance posture
Support procurement conversations around SOC 2, SSO, audit trails, data residency, and regulated deployment needs.