Credal

Credal is an enterprise control plane for building, governing and deploying AI agents and MCP servers powered by company data, with IT-enforced permissions, auditing and data masking. It targets regulated and security-conscious organizations, offers single-tenant and on-prem deployment, and uses custom enterprise pricing. It is governance infrastructure for internal AI rather than a self-serve consumer tool.

Credal provides a control plane for enterprise AI, letting organizations build and deploy AI agents and assistants that draw on internal data while keeping IT firmly in charge. Its core value is governance: every agent run is audited, access controls and data permissions are enforced automatically, and sensitive information can be masked or restricted according to policy. This makes it a fit for organizations that want the productivity of internal AI without losing security, compliance or data-control guarantees. The platform includes an agent registry, an agent builder and live-run capabilities, plus support for MCP servers so teams can connect governed tools and data sources. Deployment options extend to single-tenant and on-prem for organizations with strict data-residency needs. Credal's customer roster spans regulated and large enterprises, including government and Fortune 500 names. Credal is an enterprise product with custom pricing and no public self-serve tier; adoption typically involves security review and an IT-led rollout. Buyers should evaluate it as governance-and-controls infrastructure for internal AI, weighing it against building similar controls in-house or using platform-native governance from their existing AI vendors.