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Cruq AI
Production infrastructure for building, running, and governing AI agents on custom models and data
About Cruq AI
Cruq AI provides an enterprise platform for designing, deploying, and governing AI agents in production workflows. It allows organizations to run agents on their own models and data without vendor lock-in, using a visual builder to compose agents with tools, system prompts, and routing logic. The platform supports inference through user-provided provider keys, enabling cost, latency, and policy-based model selection. Every agent run is traced, audited, and governed with guardrails, and agents are exposed behind a single API for integration. The system ensures data remains within the user’s workspace and encrypts secrets at rest, with row-level isolation per workspace. It is designed for critical workflows in support, sales, data processing, voice operations, and physical systems, enabling teams to ship agents in days rather than quarters.
Key features
- Visual agent builder with 12 node types and 40+ built-in tools
- Model routing by cost, latency, and policy
- Real-time tracing and audit for every run
- Streaming responses via SSE without SDK
- Guardrails for PII, toxicity, and schema validation
- Scheduled agent execution and 90-day run history
- SSO and audit log for Business plan
- Self-hosted or VPC deployment for Enterprise
Use cases
- Support queue automation with custom agents
- Sales qualification workflows using routed models
- Data analysis pipelines with tool integration
Pros
- Visual agent composition with versioning and review
- Full governance with tracing, audit, and guardrails
- No vendor lock-in; supports custom models and data
- Single API for production deployment
- Row-level isolation and AES-256 encryption for security
Cons
- No free tier beyond limited testing
- Requires user-provided model provider keys
- No self-service signup; contact required for most plans
- Limited to enterprise use cases
Frequently asked questions about Cruq AI
What does Cruq AI do?
Cruq AI provides an enterprise platform for designing, deploying, and governing AI agents in production workflows. It allows organizations to run agents on their own models and data without vendor lock-in, using a visual builder to compose agents with tools, system prompts, and routing logic.
Who is Cruq AI designed for?
The platform is designed for enterprises needing to deploy AI agents in critical workflows such as support, sales, data processing, voice operations, and physical systems. It suits organizations that require full control over their models, data, and agent governance.
How does Cruq AI handle model selection and inference?
Cruq AI routes inference through user-provided provider keys, enabling cost, latency, and policy-based model selection. Users can bring their own OpenRouter, OpenAI, or compatible keys, and swap models without modifying their agents.
Does Cruq AI support data privacy and security?
Yes, Cruq AI ensures data remains within the user’s workspace and encrypts secrets at rest using AES-256 encryption. It also enforces row-level isolation per workspace for added security.
What integrations does Cruq AI offer?
Cruq AI supports integration via a single API, allowing published agents to be called from anywhere. Responses stream back token by token over SSE, and no SDK is required for integration.
How can I get started with Cruq AI?
To get started, users can contact Cruq AI to explore the platform, scope their workflow, and connect their own provider keys. The platform guides users through building, reviewing, versioning, and publishing agents in a visual builder.