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Dome Systems

Dome Systems offers an Enterprise AI Agentic Operations Platform that centralizes governance of AI agents across any cloud, runtime, or framework.

Menlo Park, United StatesFounded 20265500+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises are rapidly deploying AI agents across multiple clouds, runtimes, and business functions, but each agent often uses its own framework, tools, and models. This fragmentation makes it difficult to enforce consistent security, policy, and audit controls, leading to unmanaged risk and operational chaos.

Solution

Dome Systems provides an enterprise AI Agentic Operations Platform that centralizes governance of AI agents regardless of where they run or which technologies they use. The platform attaches control points to the three core primitives of any agent—its code, the tools it invokes, and the underlying model—allowing organizations to apply uniform policies across the entire agent estate. Tool calls serve as the primary enforcement boundary, where per‑agent, per‑tool, and per‑action rules are evaluated using a fail‑closed policy engine. A shared control plane handles authentication, credential injection, and immutable audit logging, enabling secure, observable, and compliant agent operations. Developers interact with the platform via SDKs, APIs, CLI, and management consoles to register agents, attach tools, broker models, define policies, and monitor activity. This unified layer supports both agents consumed by the enterprise and agents shipped to customers, providing a single source of truth for governance.

Target Audience

Primary customers are platform, security, and finance teams in large enterprises that develop, consume, or expose AI agents across multiple departments and cloud environments.

Features

  • Agent Registry: centralized record for each agent with lifecycle management and API key credentialing.
  • Tool Gateway: catalogs external tool backends, injects credentials at egress, and enforces policy on every tool call.
  • Model Broker: routes model requests to providers (e.g., OpenAI, Anthropic, Bedrock, self‑hosted) with per‑call policy and credential injection.
  • Authorization Engine: Cedar‑based policy evaluation at call boundaries with default‑deny, fail‑closed, and forbid‑wins semantics.
  • Immutable Audit Log: records full context of every governed action for reconstruction, SIEM integration, and compliance reporting.
  • Multi‑tenant Control Plane: supports organization, tenant, workspace, and agent scopes for consistent configuration.
  • Developer Experience: SDKs, API, CLI, and MCP interfaces for easy integration into existing development workflows.
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