Credal

Credal is a platform for building and governing enterprise AI agents on top of company data. Credal's pricing page, read directly, shows a single Enterprise plan, custom and scoped around your teams, data and usage, with a Talk to sales call to action. No prices, currency, billing period or free tier appear. It lists the dimensions that drive cost, builder seats, user seats, data indexing and usage-based model tokens, where you pay for the tokens your agents consume with full cost visibility, and every plan includes SSO, SAML and SCIM, SOC 2 Type II, GDPR and CCPA, consolidated audit logs with SIEM export and a dedicated support channel. A time-boxed pilot is offered.

Product pieces include an MCP platform to govern every tool call, an agent builder, and an agent registry as one source of truth, with permissions inherited from sources such as Google Drive and Confluence. It is model agnostic across Azure OpenAI, self-hosted models or managed OpenAI and Anthropic access, and deploys as multi-tenant cloud, single-tenant cloud or fully on-premises, with HIPAA-compliant configurations and DPAs. The blog showed one post about giving every team access to governed MCPs, the footer carries a 2026 copyright and I found no acquisition, funding or shutdown notice. Because pricing is custom, insist on an estimate that separates seats, indexing and tokens.

Credal suits security-conscious enterprises deploying agents over sensitive internal data. Compare Dust, Lyzr and Microsoft Copilot Studio. Browse the AI Agents & Automation tools directory for more.

Governed enterprise agents

Agent Builder and Registry.

MCP tool-call governance

Audit logs.

Credal pricing?

Custom Enterprise quote.

Pilot?

Time-boxed pilots offered.

Compliance?

SOC 2 Type II, GDPR, CCPA.

Deployment?

Cloud, single-tenant or on-prem.