Models, database, knowledge sources and agents run entirely inside the company network. Designed for sensitive data and restricted environments.
Grace Enterprise
Grace brings local models, approved cloud providers, internal knowledge and company agents into one controlled platform — on-premises, in your private cloud or in a hybrid setup.
Teams should be able to use powerful AI without sending confidential data through a patchwork of disconnected tools. Grace creates one central, traceable and administrable workspace.
Policies by team, project or data class. Local models for sensitive work, cloud models only where they are approved.
Internal documents, policies and project context remain in your infrastructure and are exposed to agents deliberately.
Agent runs, approvals, tools, costs and decisions remain visible instead of disappearing into isolated chats.
Reusable agents, skills and pipelines are defined once and distributed in a controlled way across the company.
SSO, groups, permissions, provider rules and tool approvals reflect existing governance structures.
Budgets, provider policies and usage reporting prevent uncontrolled shadow spend.
Grace Enterprise runs the same product core in three deployment modes. Companies choose the architecture that fits privacy, performance and operational requirements.
Models, database, knowledge sources and agents run entirely inside the company network. Designed for sensitive data and restricted environments.
A dedicated Grace instance inside the customer infrastructure or with a selected EU hosting provider, with scalable GPU and RAM capacity.
Sensitive work stays local. Approved tasks may use Claude, OpenAI, Mistral or other cloud providers under policy control.
Connect existing identity providers and control access through roles.
Trace model usage, tool calls, approvals and administrative changes.
Define which models, data paths and tools are permitted in each context.
Separate environments for teams, customers or business units.
Documents, repositories and policies become searchable under controlled access.
Backup, rollout, versioning and system health from one control plane.
Grace is not developed as three disconnected products. Personal, Cloud and Enterprise share chat, model abstraction, agents, tools, pipelines, knowledge and configuration. Enterprise adds the modules companies need for secure operations.
Grace reduces unnecessary data transfer and makes data paths visible. Actual compliance still depends on configuration, contracts, retention rules, access controls and the selected models. Private deployment supports privacy — it is not a certificate by itself. Details: Privacy policy.
Start with one team, selected models and one concrete workflow. Together we define deployment, governance and success criteria.