Credal - Enterprise AI agent platform with built-in security and compliance

What Makes Credal Different: Enterprise-Grade AI That Actually Protects Your Data

Your team wants to use AI. Marketing needs it to draft content faster. Sales wants instant answers about customers. IT is under pressure to build internal bots. But every time someone pastes company data into a public AI tool, your security team gets nervous—and rightfully so.

The reality is that most AI platforms weren't built for enterprise needs. They're designed for individual productivity, not organizational security. When you connect AI to your internal data, you face a cascade of challenges: How do you ensure employees only see what they're supposed to see? What happens when AI accidentally exposes sensitive customer information? How do you prove compliance during an audit?

This is exactly the problem Credal was built to solve.

Credal is an enterprise-grade AI Agent platform that connects AI to every tool in your organization while maintaining rigorous security standards. Unlike consumer AI tools that treat security as an afterthought, Credal was designed from the ground up with data protection as a core principle. The platform combines powerful RAG (Retrieval Augmented Generation) capabilities with automatic permission inheritance, ensuring that AI responses respect exactly the same access controls your organization already has in place.

What sets Credal apart is its zero data retention policy—meaning your data never stays on Credal's servers, and the platform doesn't use your proprietary information to train any models. This approach, negotiated directly with OpenAI in early 2023, was ahead of its time and remains rare in the industry.

Companies like Wise (automating 40% of daily tasks), Checkr (where 85% of employees use Credal as their most popular tool), Lattice, and MongoDB trust Credal to power their AI initiatives. The platform has been featured in TechCrunch and International Investment Europe, establishing Credal as a serious player in the enterprise AI space.

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Core Capabilities: What You Can Actually Do with Credal

Connect Every Data Source Your Team Uses

Your company's knowledge lives everywhere—Slack conversations, Google Docs, Notion pages, Salesforce records, Confluence spaces. Credal gives you out-of-the-box connectors for all the major platforms your team already uses, including GSuite, Microsoft 365, Salesforce, Confluence, and dozens more.

You can pull data from any of these sources in real-time, keeping your AI always current. If you have custom data sources—internal APIs, legacy databases, proprietary file formats—Credal supports JSON, XML, and CSV imports through custom connectors. The platform handles the complexity so your team can focus on building AI applications, not wrestling with data pipelines.

Security That Actually Works the Way Enterprise Needs It To

Here's the challenge most AI platforms ignore: your organization already has complex permission systems. HR has different access than Sales, contractors have limited visibility, and certain financial data is tightly restricted. When you connect AI to all your data, how do you ensure it respects these boundaries?

Credal's answer is automatic permission inheritance. The platform reads your existing access controls from each connected system—your Google Workspace permissions, your Salesforce roles, your Slack workspace settings—and automatically applies those same rules to AI queries. When someone asks the AI a question, they only see results they're already authorized to access. There's no separate permission system to maintain, no manual role assignments to update.

The platform supports role-based access control (RBAC) with four distinct levels: Administrator, Developer, Advanced Model Access, and Standard Model Access. This lets you control who can create new agents, access experimental features, or use higher-capability AI models based on your organization's structure.

You can integrate with your existing SSO through SAML/SCIM, typically with Okta, making user provisioning and deprovisioning automatic. When someone leaves, their AI access is revoked instantly—no orphan accounts, no manual cleanup.

Search Across Everything Without Compromise

Credal's enterprise search lets your team find information across all connected data sources using natural language. You don't need to remember which file something lives in or which system contains that customer record. Just ask, and Credal searches across everything you have access to.

The search supports semantic (meaning-based), keyword, and hybrid approaches, letting you choose the best method for each query. Results refresh in near-real-time, so when someone shares a new document or updates a record, it's searchable within minutes. Critically, every search result is automatically filtered by permissions—you never have to worry about AI showing someone something they shouldn't see.

Build Custom AI Applications with Developer APIs

If your team wants to build custom AI experiences, Credal provides a comprehensive REST API with SDKs for faster integration. The platform works seamlessly with LangChain out of the box, so if your developers already work with LangChain, they can connect to Credal in minutes.

Key API endpoints include sending messages to AI agents, uploading document URLs, creating document collections, listing authorized resources, and searching document catalogs. Whether you're building an internal chatbot, an automated reporting system, or a customer-facing AI assistant, the API gives you the flexibility to create exactly what you need.

Deploy Agents Where Your Team Actually Works

Your team doesn't want to learn another tool—they want AI where they already work. Credal agents deploy directly into Slack, making it simple for employees to get AI assistance without leaving their daily workflow. You can also deploy via web interfaces or through the API for custom applications.

The platform includes pre-built UI frameworks and supports low-code/no-code tools, meaning your IT team can spin up useful agents without needing a full engineering team. Common deployments include IT Support Bots that answer common technical questions, AML (Anti-Money Laundering) Assistants for compliance teams, and Incident Timeline Bots that automatically compile information during security events.

Automatic PII Protection That Actually Protects

One of the biggest concerns with enterprise AI is accidental data exposure. What happens when someone asks AI to summarize a customer conversation that includes credit card numbers, social security numbers, or health information?

Credal addresses this with automatic PII detection and redaction. The platform uses high-accuracy detection to identify protected health information (PHI), personally identifiable information (PII), and payment card industry (PCI) data. When detected, it automatically replaces these sensitive fields with placeholders before any data leaves your systems. This helps organizations maintain HIPAA compliance and protects you from inadvertently exposing sensitive customer or employee information.

Complete Audit Trails for Compliance

If you're in a regulated industry, you know the importance of knowing exactly what happened, when, and who initiated it. Credal provides comprehensive audit logging that records every AI interaction, including the original prompt, the data accessed, and the full response generated.

This goes beyond simple activity logs—you can trace any AI answer back to its exact source documents. If a regulator asks how the AI generated a specific response, you can show precisely which Google Doc, Slack message, or database record was used. Combined with integrations into Splunk, Prometheus, and Datadog, you can feed AI activity data into your existing security monitoring systems.

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Who Uses Credal: Real Teams, Real Results

IT Operations Teams

IT departments often struggle with the same questions coming in over and over: "How do I reset my password?" "What's the WiFi password?" "Who do I contact about hardware issues?" Building an IT Support Bot with Credal lets you automate answers to common questions, dramatically speeding up support response times.

Your team can connect Credal to your internal wikis, IT documentation, ticketing systems, and knowledge bases. When an employee asks a question, the AI finds the relevant answer instantly—available 24/7, never on vacation. This frees your IT team to focus on higher-value projects while employees get faster answers.

Engineering Teams

Engineering organizations generate enormous amounts of documentation—RFCs, architecture decisions, runbooks, code comments, and post-mortems. This knowledge often lives scattered across repositories, wikis, and Slack threads, making it hard to find anything when you need it.

Engineers use Credal to build semantic search across codebases and documentation. You can ask questions like "How do we handle authentication in the mobile app?" and get answers drawn from architecture docs, code comments, and Slack discussions. This dramatically reduces time spent hunting for information and helps onboard new engineers faster.

Sales Teams

Your sales team needs instant access to product information, competitive intelligence, customer history, and pricing details. Often, this information lives across CRM systems, marketing materials, and team Slack channels—making quick answers difficult.

With Credal, sales teams get a unified customer knowledge base where they can ask questions and get AI-assisted answers. "What's our current pricing for the enterprise tier?" "Who was the last person we spoke with at Acme Corp?" "What objections did the last rep face with this prospect?" Instant answers mean faster response times and more effective customer conversations.

HR and People Teams

HR departments juggle policies, benefits information, onboarding procedures, and employee questions. Searching through static policy documents for specific answers wastes time—for both employees asking questions and HR team members responding.

Companies use Credal to build HR policy bots that answer common employee questions instantly. Benefits questions, PTO policies, remote work guidelines—employees get immediate answers while HR focuses on strategic initiatives. This also improves the employee experience by providing instant, consistent responses.

Customer Support Teams

Support teams face high volumes of similar tickets, requiring agents to find and paste the same information repeatedly. Credal helps by summarizing support tickets and suggesting automatic replies based on knowledge base content.

When a new ticket comes in, Credal can provide a summary of the issue, pull relevant troubleshooting steps, and suggest a response—all before the agent even reads the full ticket. This dramatically accelerates response times and ensures consistency in customer communications.

Platform and Data Teams

For organizations with complex data ecosystems—multiple data warehouses, BI tools, and operational systems—Credal serves as a unified data integration layer. Instead of requiring users to know which tool contains which information, they simply ask questions and Credal finds answers across all connected systems.

This eliminates information silos and lets teams focus on insights rather than hunting for data.

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Technical Capabilities: The Architecture Behind Enterprise-Grade AI

Multi-LLM Support with Maximum Flexibility

Credal doesn't lock you into a single AI provider. The platform supports multiple leading large language models: OpenAI, Anthropic (Claude), Google, Cohere, and MongoDB. This means you can choose the best model for each use case—whether you need advanced reasoning, faster response times, or specific capability profiles.

For organizations with specific security requirements around data residency, Credal supports deployment through AWS Bedrock and GCP Vertex (enabling VPC-based Anthropic access) as well as Azure OpenAI (VPC-based OpenAI access). You maintain control over where your data travels while still accessing powerful AI capabilities.

Deployment Options That Fit Your Security Posture

Not every organization has the same security requirements. Credal offers four deployment models to match different needs:

Standard Multi-Tenant Cloud gives you the fastest time to deployment with full Credal management. This works well for organizations whose security requirements align with standard cloud best practices.

Managed Single-Tenant (MST) provides dedicated infrastructure for your organization while letting Credal handle operations. This is ideal if you need stronger isolation but don't want to manage infrastructure.

Cloud Self-Hosted (Cloud-Prem) lets you deploy Credal in your own AWS account or Kubernetes cluster. You maintain full control over the infrastructure while using Credal's platform. This suits organizations with specific compliance requirements around data residency.

Air-Gapped On-Prem is Credal's most secure option—running entirely on your own infrastructure with no external network connectivity. This is designed for organizations in highly regulated industries like defense, government, or financial services with strict data handling requirements.

Security Architecture Built for Enterprise

Beyond compliance certifications, Credal's security architecture reflects deep understanding of enterprise needs. The platform was founded by former Palantir engineers who bring experience from working with large financial institutions, healthcare organizations, and government agencies.

Key security capabilities include:

Bring Your Own Key (BYOK): Credal natively supports customer-managed encryption keys, meaning you control the encryption that protects your data—not Credal, not any cloud provider.

Zero Data Retention: Credal was one of the first AI platforms to negotiate zero data retention agreements with AI providers. When you use Credal, your prompts and data are processed but never stored by the AI provider or retained by Credal. This approach predates most industry discussions about AI data privacy.

Schema-Level Access Policies: Beyond user-level permissions, Credal implements access controls at the database schema level, preventing entire categories of data from being accessible to the AI regardless of user permissions.

Automated Penetration Testing: Credal undergoes authenticated PCI-level penetration testing—going beyond the standard OWASP baseline that most companies use. This is accompanied by ongoing SAST (Static Application Security Testing) integrated directly into the continuous integration pipeline.

Compliance Certifications That Matter

If you're in a regulated industry, compliance isn't optional. Credal maintains comprehensive certifications:

• SOC 2 Type 2: Third-party audited security controls with annual testing
• HIPAA: Compliant for healthcare organizations handling protected health information
• GDPR: Full compliance with European data protection requirements
• CCPA: California Consumer Privacy Act compliance
• EU-US Data Privacy Framework: Credal was among the first AI companies to participate
• UK Extension and Swiss-U.S. Data Privacy Framework: Additional cross-border data transfer mechanisms

This comprehensive compliance portfolio means you can deploy Credal with confidence regardless of your industry's regulatory requirements.

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Pricing: Choosing the Right Plan

Credal's pricing is designed for enterprise organizations with customized deployment needs. Rather than a one-size-fits-all self-serve model, Credal works with each organization to build a pricing方案 that matches their specific requirements.

The enterprise pricing reflects the fact that every organization has unique requirements around data sources, deployment options, compliance needs, and support levels. When you contact Credal's sales team, they'll work with you to understand your specific situation and build a package that delivers the capabilities you need at a fair price.

What to expect: A sales conversation typically covers your organization's AI goals, current data sources, security and compliance requirements, and preferred deployment model. From there, Credal provides a customized proposal.

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Frequently Asked Questions