Deploy.AI

Verified capabilities

• Customizable agent workflows

  Supports low-code customization for enterprise workflows, including tailored logic, branching logic, conditional outputs, and dynamic behaviors inside prompts.[1]

• RAG with organizational data

  Includes an advanced RAG framework, centralized Knowledge Base, configurable chunk size and overlap, hierarchical search, and routing to the right knowledge sources.[1]

• Multi-source data integration

  Can connect cloud drives, business tools, and structured files directly to agents so relevant context is available at inference time.[1]

• Guardrails and policy controls

  Provides integrated guardrails, input allow and deny lists, harmful-content prevention, and enforcement of business policies and compliance requirements.[1]

• Enterprise identity and secure deployment

  Supports SSO with identity providers using SAML, LDAP, or OAuth, with examples including Okta, Google Workspace, and Active Directory.[1]

• Flexible deployment options

  Agents can be deployed in the customer cloud, on-premises, or in an air-gapped environment, with the page stating that proprietary content is not used for training.[1]

• Model, prompt, and workflow testing

  Includes testing for prompts across models, model benchmarking, workflow orchestration testing, and LLM-as-a-judge comparison of outputs.[1]

• Application integration with validated outputs

  Deploy.AI agents are described as connecting directly into applications with schema-validated outputs, reducing the need for custom middleware or post-processing.[1]