Credal
Credal.ai is an AI tool designed to protect sensitive data while leveraging AI applications within an enterprise. It provides a secure solu...
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What is Credal?
Credal is the control plane for enterprise AI agents, enabling organizations to build, govern, and deploy secure AI agents powered by company data while enforcing enterprise controls. It provides a unified agent registry for internal, third-party, and verified agents, with no-code builders and developer APIs for creating multi-agent workflows. Key features include permission mirroring from source systems like Google Drive, Slack, and Salesforce, real-time data syncing, PII redaction, human-in-the-loop approvals, and comprehensive audit logging for every action.
Designed for departments like sales, engineering, HR, and IT, Credal allows teams to create specialized agents for tasks such as renewal call prep, IT ticket creation, code review, and research summaries. It supports deployment to Slack, ChatGPT, Cursor, and MCP-compatible surfaces, eliminating agent sprawl. Organization-wide policies ensure consistent governance, with role-based access, risk monitoring, and proactive flagging of issues.
Credal connects to 50+ sources including Confluence, Jira, GitHub, Snowflake, and NetSuite, inheriting permissions to prevent data leakage. It offers enterprise search, semantic RAG applications, and actions for reading, writing, and processing data across systems. Security features like SOC 2 Type II compliance, HIPAA readiness, and on-prem deployment make it ideal for regulated industries needing safe AI adoption.
Admins gain full visibility through dashboards tracking agent usage, compliance rates, and risks, while teams get tailored agents without compromising security. Case studies highlight rapid productivity gains, with 85% organizational adoption in some companies and self-service agent creation boosting efficiency.
Credal pricing
Pricing model: Free
Enterprise pricing with flexible options including wall-to-wall or per-seat licensing; contact sales for details. Includes multi-agent builder, secure registry, enterprise search, 50+ integrations, security features like RBAC and audit logs, dedicated support, and deployment options (cloud, single-tenant, on-prem). No free tier or public paid plans listed; pilots available with onboarding support.
Credal pros
- Mirrors user permissions from source systems
- Real-time permission syncing with SSO
- PII redaction before LLM processing
- Human approval for sensitive actions
- Unified agent registry for governance
- No-code agent builder for teams
- 50+ integrations like Slack, Salesforce
- Audit logs for every prompt and action
- Deploys to ChatGPT, Slack, Cursor
- On-prem and single-tenant options
- SOC 2 Type II and HIPAA compliant
- Risk monitoring with real-time alerts
- Model-agnostic with BYO LLM support
- Multi-agent workflow orchestration
- Enterprise search across all data
- Pre-built actions for Jira, GitHub
- RBAC for build, deploy, use controls
Credal cons
- Enterprise pricing only, no free tier
- Requires demo request to start
- No public self-serve signup
- Limited to enterprise-scale orgs
- Complex setup for custom sources
- Dependent on SSO for permissions
- No mention of free trial length
- Pilot needed for POC validation
- On-prem requires infrastructure
Frequently asked questions about Credal
Do you offer a pilot or proof of concept?
Yes, most customers start with a time-boxed pilot focused on a specific team or use case, defining success criteria upfront with onboarding team support to achieve first outcomes within weeks.
What deployment options are available?
Credal supports cloud-hosted multi-tenant, single-tenant cloud, and fully on-premises deployments, chosen based on data residency, cloud infrastructure, and security policies.
What security certifications does Credal hold?
Credal is SOC 2 Type II certified, supports HIPAA-compliant configurations, offers GDPR-ready data processing agreements, and provides full audit logging via security page and Trust Portal.
Can we bring our own AI models?
Yes, Credal is model-agnostic, allowing connection to Azure OpenAI, self-hosted open-source models, or managed access to frontier models from OpenAI, Anthropic, and others without lock-in.
How does Credal handle data access and permissions?
Credal automatically inherits and enforces existing data permissions from sources like Google Drive or Confluence, ensuring users only see accessible content at query time, preventing leakage.
How long does implementation typically take?
Teams are up and running within days for initial data connections and workflows; full enterprise rollout with SSO and custom workflows takes a few weeks depending on scope.
What integrations does Credal support?
Supports Google Workspace, Slack, Microsoft 365, Confluence, Notion, SharePoint, Jira, GitHub, Linear, Salesforce, Zendesk, Snowflake, Databricks, BigQuery, S3, GCP, NetSuite, and custom development.
How does Credal ensure no data leakage?
By mirroring permissions across connected systems in real-time, synced with SSO, and only pulling context the user can access, with granular controls and no ingestion-time exposure.
What governance features are available?
Org-wide policies for human approval on actions, role-based access, agent deployment controls, tool-level gates, and audit trails exported to Splunk or Datadog for compliance.
Can agents be deployed organization-wide?
Yes, agents can be deployed to specific users, groups, or the entire organization via the registry, with controls for who can use, edit, or call them in workflows.