Credal - The Secure AI Agent Platform for Enterprise

What is Credal

If your team is exploring AI agents to boost productivity, you've likely hit a common roadblock: how do you give AI access to your company's sensitive data—customer records, internal documents, financial reports—without creating security gaps or compliance nightmares? This tension between unlocking AI's potential and protecting your most sensitive information is exactly what Credal was built to solve.

Credal is an enterprise-grade AI Agent platform that lets you securely connect AI to every tool in your organization. Unlike consumer AI tools that treat security as an afterthought, Credal bakes security into every layer—from data ingestion to agent deployment. The platform enables you to build and deploy AI Agents and MCP (Model Context Protocol) servers that connect directly to your enterprise data sources while automatically inheriting your existing permission structures. This means your sales team gets answers from your CRM and knowledge base, your HR team can query policy documents, and your engineers can search across code repositories—all without you having to rebuild access controls from scratch.

The market has taken notice. Credal powers AI initiatives at well-known enterprises including Wise, MongoDB, Lattice, Checkr, incident.io, Comcast, and dozens of other organizations across industries ranging from fintech to healthcare. The platform has been featured in TechCrunch, IPE (Investment & Pensions Europe), and SiliconANGLE, reflecting its growing influence in the enterprise AI space.

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Credal's Core Capabilities

Your team doesn't just need AI—they need AI that works within the guardrails of enterprise security. Here's what Credal brings to the table.

The AI Agent Platform lets you construct intelligent agents that traverse your organization's internal data sources and automate complex workflows. You can deploy these agents in minutes using pre-built UI frameworks and low-code/no-code tools. Whether you need an IT support bot that answers employee questions or a sales assistant that pulls real-time product information, the platform handles the complexity so your team can focus on outcomes rather than infrastructure.

The Enterprise RAG Platform provides end-to-end retrieval augmented generation capabilities. It supports semantic search, keyword search, and hybrid search approaches, giving you flexibility in how your agents find information. The platform automatically refreshes data in near-real-time, ensuring your AI agents always have access to current information without manual reindexing.

When it comes to data integration, Credal offers out-of-the-box connectors for the tools your team already uses: Slack, GSuite, Google Drive, Notion, Microsoft 365, Salesforce, Confluence, Box, and Zendesk. For less common data sources, you can build custom connectors that handle JSON, XML, CSV, and other formats. Critically, these connectors sync permissions in real-time, so access controls travel with your data.

Permission synchronization is where Credal truly differentiates itself. Rather than creating parallel access controls, Credal automatically pulls permissions from your source systems—including SSO integration—and applies them consistently across the platform. This细粒度 access control means your agents respect exactly who should and shouldn't see specific information.

For organizations dealing with sensitive data, auto redaction automatically detects and replaces PII (Personal Identifiable Information), PHI (Protected Health Information), and PCI (Payment Card Industry) data with recoverable placeholders. This helps you maintain HIPAA compliance and protect customer privacy without manual review processes.

Finally, the audit logging capability provides complete records of every AI interaction—prompts, data accessed, and responses generated. These logs integrate with Splunk, Prometheus, and Datadog, supporting both compliance requirements and ongoing optimization of your AI deployments.

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Who Uses Credal

Credal serves organizations across industries, but certain teams derive particularly compelling value. Here's how different departments put the platform to work.

IT Operations teams use Credal to build IT Support Bots that consolidate knowledge scattered across wikis, ticket systems, and employee handbooks. When an employee asks "How do I reset my VPN?" or "What's the expense policy for international travel?", the bot pulls the answer from the right source—without requiring IT staff to manually respond. The result: employees solve problems faster, and your IT team focuses on strategic work instead of answering repetitive questions.

Engineering teams leverage Credal's API capabilities to embed AI directly into their products. Whether it's enabling code documentation search, technical support chatbots, or internal developer portals, the API-first architecture means AI becomes a feature rather than a separate tool. MongoDB's internal AI transformation is one example of engineering teams using Credal to boost developer productivity.

Sales teams deploy Sales Agents that connect to validated data sources—help center articles, API documentation, competitive battle cards, and marketing materials. When a sales rep gets a question about feature comparisons or pricing, the agent pulls the verified answer rather than relying on memory or back-and-forth with product teams. Checkr, for instance, achieved 85% AI adoption across their 1,400-person organization, with their CFO noting it's "one of the most loved tools we have."

HR and People teams build绩效评估 Agents that connect to core values documents, goal frameworks, and writing toolkits. Rather than starting from blank pages, managers get AI-generated first drafts that align with company values and evaluation criteria—improving consistency while saving hours per review cycle.

Customer Support teams deploy agents that search across all internal knowledge bases to answer customer questions instantly. Rather than digging through multiple systems, support representatives get relevant answers in seconds, dramatically improving response times and customer satisfaction.

Security and Compliance teams use Credal to automate security questionnaire responses—a traditionally tedious process requiring input from multiple stakeholders. The platform ensures answers remain consistent and traceable.

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Technical Architecture and Security

For enterprise buyers, security isn't a feature—it's the foundation. Credal's architecture reflects this priority at every layer.

Multi-model support means you're not locked into a single AI provider. The platform works with OpenAI, Anthropic, Google, and Cohere models. For organizations with specific cloud requirements, Credal supports Azure OpenAI, AWS Bedrock, and GCP Vertex—all accessible within your virtual private cloud for maximum data isolation.

Security certifications demonstrate Credal's commitment to compliance. The platform holds SOC 2 Type 2 certification, HIPAA compliance, GDPR compliance, and CCPA compliance. Credal was among the first participants in the EU-US Data Privacy Framework (including UK Extension and Swiss-U.S. Data Privacy Framework), and maintains compliance with Google User Data Policy.

Zero Data Retention (ZDR) is particularly significant. In early 2023, Credal became the first organization to establish a ZDR agreement with OpenAI, meaning your prompts and data are never stored by LLM providers. The platform has since extended ZDR agreements with Anthropic and Cohere. Combined with Bring Your Own Key (BYOK) support and VPC-embedded deployments, your data remains under your control.

Deployment flexibility accommodates different security requirements:

• Standard Multi-Tenant Cloud: Best for organizations with standard security requirements seeking rapid deployment
• Managed Single Tenant (MST): Dedicated infrastructure for greater isolation
• Cloud-Prem: Hosted within your own cloud account (AWS, GCP, Azure)
• Air-Gapped On-Prem: Completely offline deployment for maximum-security environments

Performance characteristics support enterprise-scale deployments: near-real-time data synchronization, permission caching with automatic SSO synchronization, customizable metadata schemas, and multi-modal support for both text and image processing.

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Ecosystem and Integrations

Credal doesn't exist in isolation—it integrates into your existing technology stack while extending your AI capabilities outward.

Pre-built connectors cover the tools most enterprises rely on daily: Slack for communication, GSuite and Google Drive for documents, Notion for knowledge management, Microsoft 365 for productivity, Salesforce for CRM, Confluence for team documentation, Box for file storage, and Zendesk for customer support. These connectors work out of the box with minimal configuration.

Enterprise data sources extend the platform's reach to core business systems: NetSuite for finance, Snowflake and Databricks for data warehousing, Google Cloud Platform storage, AWS S3, and other enterprise systems. This enables AI agents to query the data that actually runs your business.

Developer experience remains a priority throughout. The REST API provides flexible programmatic access, while support for LangChain and other popular libraries means your developers can work with familiar tools. For teams building AI into products rather than just internal tools, the API-first approach ensures AI becomes a seamless feature rather than a bolted-on addition.

MCP server support enables you to build Model Context Protocol servers that standardize how AI agents access your data—a growing standard in the enterprise AI space that promotes consistency and maintainability.

The API Gateway capability deserves special mention. It provides backward compatibility with OpenAI and Anthropic APIs, meaning you can integrate third-party applications into Credal's security and audit framework with a single line of configuration. This "audit everything" approach gives security teams visibility into AI usage across the organization without forcing developer rewrites.

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Credal's Pricing

Credal operates on an enterprise pricing model, meaning costs are customized based on your organization's specific requirements. Here's what you need to know when evaluating the platform.

Enterprise Plan — Custom Pricing

The Enterprise edition provides unlimited seats, custom data source connections, single-tenant or on-premises deployment options, SAML/SCIM integration, role-based access control (RBAC), and white-glove support. This plan is designed for organizations that need full control over their AI infrastructure and require the most robust security certifications.

Because pricing is customized, the exact cost depends on factors including your organization size, number of data sources, deployment preference, and support requirements. The pricing philosophy emphasizes that security and compliance capabilities are included in the base Enterprise offering—there are no hidden fees for core security features.

What to expect: You'll work with Credal's team to understand your specific needs—data sources, user count, compliance requirements, and deployment preferences—before receiving a customized quote. This approach ensures you're not paying for capabilities you don't need while ensuring all security requirements are met.

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Frequently Asked Questions