Credal.ai
Context in. Accurate, cost-efficient agents out.
Credal is an enterprise MCP platform that sits as a gateway between AI agents and a company's systems, turning tools and data into governed MCP servers with curated context. It addresses the problem of workflows and know-how being trapped in individual tools, and of agents receiving too much context, which drives up cost and reduces accuracy.
The platform connects to 1,000+ data sources with permissions inherited and synced from source systems, and lets teams compose department-specific MCP servers with scoped tools, enforced parameters, and standing instructions. It deploys across surfaces including Claude, ChatGPT, Cursor, Slack, and custom apps, with MCP spec compliance enforced at the gateway. Capabilities include an Agent Registry with version control and rollback, consolidated audit logging with SIEM export (Splunk and OpenTelemetry), cost attribution by team, workflow, and model with optimization recommendations, human-in-the-loop approvals, RBAC via SAML and SCIM, and sensitive data redaction. Deployment is available in Credal's cloud or a customer VPC, with support for bring-your-own-key and AWS Bedrock, GCP Vertex, and Azure OpenAI.
Credal is aimed at platform, security, and IT teams at enterprises and scaling startups that need to govern AI usage across an organization. The product is SOC 2 Type 2 and HIPAA compliant, with zero-data-retention agreements with AI providers. Packaging details such as free plans, trials, or seat-based pricing are not described on these pages.
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