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Credal.ai

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The OS for your Agent Harness

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Type
Saas
Company
Credal
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About Credal.ai

Credal is a secure AI agent platform for enterprises. It offers a Chat UI, Slackbot, and API that masks sensitive information, audit logs interactions, and ensures AI can only use context from company data that the user already has access to. Credal powers multi-agent workflows and enterprise AI search across data, tools, and expertise. It provides features like permission synchronization, PII redaction, and comprehensive audit capabilities to ensure security and compliance.

How to Use

Credal can be used through its Chat UI, Slackbot, or API. Users can connect their company's data sources, and Credal will ensure that AI agents only access data the user is authorized to see. Developers can use the REST API to build and deploy AI-powered applications.

Key Features

  • Secure AI agent platform
  • Data masking and PII redaction
  • Permission synchronization across source systems
  • Comprehensive audit logging
  • Enterprise AI search
  • Multi-agent workflows
  • REST API for developers
  • Pre-built data connectors (Slack, GSuite, Notion, Microsoft, Salesforce, Confluence)
  • Custom data connectors

Use Cases

  • IT & Operations
  • Engineering
  • HR and People
  • Support
  • Platform Tools
  • Secure Chat
  • Security Questionnaires
  • API Gateway
  • Customer Genie

Key Features

Secure AI agent platform
Data masking and PII redaction
Permission synchronization across source systems
Comprehensive audit logging
Enterprise AI search
Multi-agent workflows
REST API for developers
Pre-built data connectors (Slack, GSuite, Notion, Microsoft, Salesforce, Confluence)
Custom data connectors

Pros & Cons

Pros
  • Enterprise-grade security: SOC 2 Type II, HIPAA-compliant, GDPR-ready
  • Automatic permission inheritance from source systems
  • Model-agnostic, no vendor lock-in
  • Fast implementation — most teams up in days, full rollout in weeks
  • Time-boxed pilot available to prove value
  • Comprehensive audit and governance capabilities
  • Supports on-premises deployment for strict data residency
Cons
  • Pricing is enterprise-custom only, no free tier or self-serve plans
  • Setup complexity may require dedicated IT or platform team for full rollout
  • Headless MCP focus may not suit teams wanting a built-in chat interface

Best For

IT & OperationsEngineeringHR and PeopleSupportPlatform ToolsSecure ChatSecurity QuestionnairesAPI GatewayCustomer Genie

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FAQ

Does Credal offer a pilot or proof of concept?
Yes. Most customers start with a time-boxed pilot focused on a specific team or use case. Success criteria are defined upfront, and the onboarding team supports throughout. Most pilots reach their first meaningful outcome within a few weeks.
What deployment options are available?
Credal supports cloud-hosted (multi-tenant), single-tenant cloud, and fully on-premises deployments. The right choice depends on data residency requirements, existing cloud infrastructure, and internal security policies.
What security certifications does Credal hold?
Credal is SOC 2 Type II certified and supports HIPAA-compliant configurations. It offers GDPR-ready data processing agreements and full audit logging.
Can we bring our own AI models?
Yes. Credal is model-agnostic. You can connect your own Azure OpenAI deployment, self-hosted open-source models, or use Credal's managed access to frontier models from OpenAI, Anthropic, and others.
How does Credal handle data access and permissions?
Credal automatically inherits and enforces your existing data permissions. If a user doesn't have access to a document in Google Drive or Confluence, they won't see it in Credal either, enforced at query time, not just at ingestion.
How long does implementation typically take?
Most teams are up and running within days. Connecting data sources and building initial workflows can happen in a single session. A full enterprise rollout including SSO and custom workflows typically takes a few weeks depending on scope.