Enterprise Platform
Connect existing accounts, knowledge and business systems so employees can use AI safely. Models, apps, tools and budgets are managed in one place, from a single team's pilot to company-wide operation.
Reuse the identity and authorization methods you already have, connect knowledge and tools as needed, avoid rebuilding what exists, and get teams into real work faster.
SSO standards such as SAML 2.0 and OIDC are already supported, so your existing identity system plugs in and employees reach the AI workspace and apps with their company accounts.
Connect office and business systems through connectors, MCP and APIs. With OAuth authorization, AI reads information and calls tools only within the scope it has been granted.
Connect documents, knowledge bases and business data. Access rights are checked before retrieval, so each employee gets only the content they are allowed to see.
From sign-in and retrieval to tool execution, one governance approach applies throughout, so employees use AI with confidence and IT keeps visibility and control.
Sensitive data masking and input and output content moderation protect personal information and business data according to company policy.
Bring models, knowledge, tools, skills and apps under unified management. Make it clear who can use each one and who maintains it, so what works for one team becomes a capability the whole company keeps building on.
Connect all model providers through the AMH / LLM gateway and manage API keys, available models and access policies in one place.
Maintain knowledge sources, tool connections and authorization scopes centrally, so teams stop duplicating integrations and scattering configuration.
Turn proven processes and tasks into apps and skills that more teams can use according to their permissions, and keep improving them.
Set resource access and usage limits by team and role, so resource allocation follows the way your company is managed.
Review usage, allocate limits and follow up on alerts on the same platform, making budget management part of everyday AI operations.
View model usage and cost allocation by team, project or app to spot high-frequency scenarios and unusual usage.
Set budgets and quotas by business priority so each team uses AI within clear resource limits.
Configure usage thresholds and alerts, and act quickly when spending nears the budget or something looks unusual.
Review models and processes against business results and put resources into the work that truly pays off.
Map out identity systems, data permissions, business interfaces and deployment requirements.
Choose models and tools, then configure roles, content policies and usage limits.
Have the pilot team do its daily work, and check permissions, output quality and consumption.
Reuse proven apps, knowledge and configurations, and keep rolling out with training.
SSO standards such as SAML 2.0 and OIDC are supported. During onboarding, sign-in configuration, account mapping and role permissions are confirmed with your existing identity provider, so employees access the platform with their company identity.
