Credal.ai

Credal.ai is a New York-based enterprise software company that provides what it describes as a control plane for enterprise AI agents. Its platform lets organizations connect internal systems and data sources, turn them into governed Model Context Protocol (MCP) servers, and build, deploy and audit AI agents that operate against that data while respecting existing user permissions [0][1][4]. Core components described by the company include an agent and MCP server registry with version control and rollback, an agent builder, live run execution with audit logging, role-based access control, enforced tool parameters and standing instructions, and human-in-the-loop approvals for sensitive actions [0][4].

The platform emphasizes scoping the context and tools available to each agent: domain experts bundle a subset of tools, data and instructions into a department-specific MCP server, which the company says reduces tokens consumed per query and therefore cost, while improving accuracy. A consolidated audit log attributes AI spend to teams, workflows and models and surfaces recommendations to route workflows to cheaper models [0]. Credal positions itself as a layer beneath multiple chat and developer surfaces — Claude, ChatGPT, Cursor, Slack and customer-built apps — so permissions and guardrails apply regardless of which model or interface is used [0].

Earlier positioning described the company as a security and compliance layer connecting internal data to large language models, supporting retrieval-augmented generation applications, PII redaction, audit logging, prompt routing to the most appropriate LLM, and on-premises or cloud deployment [3][5][6]. A subsequent YC launch described a security-first multi-agent collaboration platform in which a primary agent can call other agents and enterprise actions while enforcing governance, risk and compliance policies [1].