Credal.ai

Navigating the complexities of securely integrating generative AI with your internal enterprise data can be challenging. Credal is designed as the secure AI agent platform specifically for enterprises, enabling you to power multi-agent workflows and robust AI search across your valuable data, tools, and expertise without compromising security or compliance.

Key Features

Credal equips your organization with the essential tools to deploy AI agents and search capabilities securely:

• Secure Data Integration: 🔒 Connect Credal with confidence to critical enterprise data sources like Slack, GSuite, Notion, Microsoft, Salesforce, Confluence, and more using pre-built or custom connectors. Credal automatically synchronizes permissions from these source systems, ensuring that AI agents and search results respect your existing access controls and prevent data leakage.

• Enterprise-Grade Security & Compliance: ✅ Deploy generative AI with peace of mind. Credal facilitates comprehensive security by inheriting and enforcing access controls, automatically redacting sensitive PII/PHI/PCI data before it reaches models, and providing full audit logging for prompts, data, and responses. This helps you maintain compliance with standards like SOC 2 Type 2, GDPR, and CCPA.

• AI Agent Platform: 🤖 Build and deploy enterprise-grade AI agents that can collaborate and perform work powered by your internal knowledge base and tools. Credal provides the framework to configure agents, equip them with necessary tools (actions), and deploy them directly within your team's existing chat interfaces or via API.

• Powerful Enterprise Search (RAG): 🔎 Implement secure, access-controlled Retrieval Augmented Generation (RAG) applications on top of your data rapidly. Credal supports semantic, keyword, or hybrid search, allowing users to find information effectively across connected data sources while respecting permissions.

• Flexible Deployment & API: ⚙️ Choose the deployment model that suits your needs – cloud, on-premise, single-tenant, or SaaS. Credal offers a flexible REST API that enables developers to build custom AI applications seamlessly, integrating with multiple models (OpenAI, Anthropic, Google, etc.) while handling security, performance, and logging.

Use Cases

Credal empowers your team to leverage AI safely in various scenarios:

• Secure Knowledge Retrieval: Allow employees to ask complex questions about internal policies, project documents, or customer history in natural language via a chat interface, with responses securely drawn only from data they are authorized to access.

• Automated Workflow Assistance: Deploy agents that can access and act upon secure internal data to assist with tasks like summarizing large document sets, generating reports based on private databases, or triaging support requests by accessing relevant internal systems, all while respecting access controls and audit trails.

• Building Custom AI Solutions: Developers can use Credal's API to build bespoke AI applications that interact with enterprise data sources for specific business needs, confident that the platform handles underlying security, compliance, and permissioning automatically.

Why Choose Credal?

Credal positions itself as the only end-to-end enterprise RAG platform designed from the ground up for security and control. It uniquely combines comprehensive data integration with granular permission syncing, robust compliance features (like PII redaction and audit trails), and a flexible platform for building and deploying AI agents and search applications directly on your internal data, wherever your team works. This focus on security-first integration and deployment sets it apart for organizations prioritizing data governance and compliance in their AI adoption.

Conclusion

Credal provides the secure, controlled foundation enterprises need to confidently deploy AI agents and search capabilities on their internal data. By prioritizing security, compliance, and seamless data integration, Credal helps you unlock the power of generative AI to enhance productivity and workflows across your organization.

Learn more about Credal and explore how it can help you achieve secure enterprise AI adoption.

FAQ

• How does Credal handle data permissions? Credal synchronizes permissions directly from your source systems (like Google Drive, Slack, Salesforce, etc.) and enforces these access controls within the platform, ensuring that users and agents can only access data they are already authorized to see. This permission cache is automatically updated, often in real-time.

• What types of data sources can Credal connect to? Credal offers out-of-the-box connectors for many popular enterprise applications and data repositories. It also provides support for building custom data connectors, enabling integration with proprietary or less common internal data sources, including various file formats.

• Can Credal be deployed within our own infrastructure? Yes, Credal supports flexible deployment options including cloud, single-tenant cloud, and on-premise deployments, allowing organizations to choose the setup that best meets their security and infrastructure requirements.