Credal AI, Inc.
The OS for your Agent Harness — a governed platform to build, deploy, and manage MCP servers and AI agents from enterprise systems with permissions, approvals, and audit built in.
Where Credal AI, Inc. ranks
Current edition · updated Oct 20, 2026About Credal AI, Inc.
Build, govern, and deploy enterprise AI agents and MCP servers Powered by your data, subject to enterprise controls
Products
Build governed agents from data, tools, and expertise.
A single registry to version, govern, and audit every agent across the organization.
Build, deploy, and govern department-specific MCP servers from enterprise systems.
What customers say
“etc, and then potentially hundreds of rows per day. We need to make sure that data is represented properly: as something that can be used in a prompt, both for this usecase, and for future cases which may need to touch this data. In order to run that”
“The goal was to empower business users to use Salesforce data without needing Salesforce architecture expertise. When there are ambiguous fields, custom objects, legacy data — AI will silently choose for you and often get it wrong, leading to risk for our business in time and accuracy.”
“and are usually prepended to the prompt in classic RAG style, sometimes paired with the description depending on the query. For example, if you’re just asking the agent to assess a single business, you can just put everything into one prompt. You can see an example of this workflow below in Credal: Challenge 2: Data governance, permissions, and access controls Regulated enterprises very often have to be able to defend decisions to their regulator, so a well governed system, that’s compliant is vital. That means careful audit logging of every request, easy deletion when customers ask for their data to be deleted, and easy observability that’s exportable to companies’ existing systems for storing audit logs in case regulators come asking for details in the future. Equally important is the need to think through the permissions of who should be able to access the data we’ve connected from internal systems. Most large enterprises will have a lot of teams which operate on the basis of the”
- MCP Platform
Checkr built three governed Credal MCP servers, one per Salesforce instance, with business-unit context and clarifying questions. Credal reports that AI-generated Salesforce answer accuracy increased from 13% to 86%, a…
Case study - MCP Platform
Guidewheel used Credal to create Salesforce MCP servers with write access for RevOps and restricted read-only access for other employees. Credal also reports that a custom sales workflow built with Credal and other tools…
Case study
Security and compliance
As reported by Credal AI, Inc.. Ask for audit reports before you buy.
- SOC 2 Type IICertified
- HIPAACompliant
- SOC 2Certified
- GDPRCompliant
- CCPA/CPRACompliant
- Human-in-the-loop approvals for sensitive actions
- Permissions inherited and synced automatically from source systems
- Full audit trail over each action and tool call
- Audit logs exportable via Splunk integration
- Audit logs exportable via OpenTelemetry
- On-premises deployment supported
- Single-tenant options
- Run in Credal's secure cloud or inside customer's own VPC
- Data residency support via on-premises and single-tenant options
- Granular access controls by org, team, or role
- Version control and rollback for every agent and MCP server
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