Stay model agnostic.
Choose models from leading labs or go open weight without tying your business to a single AI provider.
- Go open weight.Run agents on GLM, Kimi, and DeepSeek at a fraction of frontier prices.
- Control your costs.Keep spend flat as adoption grows across your company.
- Bring your own keys.Route agents through your own API keys and switch providers when a better model lands.
Enterprise-grade controls
Usage monitoring
Track organization-wide credit usage in real time. Implement budget and quota controls to avoid surprises.
Audit logging
Capture detailed audit trails for actions across the organization to understand where data is flowing.
VPC deployments
Deploy Orchestrivo inside your own AWS, Azure, or Google Cloud environment to keep data in your network.
Roles and permissions. Manage reusable roles, credentials, and secrets with scoped access.
SAML SSO and SCIM. Securely streamline identity and access management.
AI model restrictions. Control which AI models teams can use.
Credential management. Store secrets in one place and scope who can use them.
App policies and guardrails. Write plain English rules that block, tag, or log actions before they run.
MCP client and server tracking. Trace every tool call through one logging and analytics layer.
Reporting and analytics. See AI adoption, usage, and outcomes for every team in one place.
Spend caps and approvals. Cap spend by agent, team, or org, and approve costly actions.
Frequently asked questions
Build your team of agents
Create AI agents that understand your business, work across your tools, and take work from idea to outcome.