Credal is designed to let companies build AI applications that use their own data, but that are also secure. The platform includes tools for workflow assistants, enterprise search and AI chat, all with security, access controls and compliance.
Among Credal's features are:
- Point-and-click integrations: Connections to data sources like Slack, GSuite, Notion, Microsoft, Salesforce and Confluence.
- Pre-built and custom data connectors: Real-time synchronization and permissioning for common file formats like JSON, XML and CSV.
- Permissions and access control: Synchronization of permissions across all source systems to prevent data leakage and ensure compliance.
- Auto Redaction: Replacement of personally identifiable information (PII) with placeholders before sending data to third-party modules.
- Comprehensive audit capabilities: Audit logging for generative AI usage, including prompts, data and responses.
- SOC 2 compliance: Infrastructure verified and tested to ensure compliance with industry standards.
Credal is touting its ability to let companies build enterprise-ready AI applications with Retrieval Augmented Generation (RAG) technology. That's made possible with features like:
- End-to-end RAG platform: Semantic, keyword or hybrid search with automatic data refreshing and permission integration.
- Developer API: Building AI-powered applications with a simple REST API and documentation.
- Multimodal support: Support for common endpoints for text, images and popular libraries like LangChain.
Credal pricing is tiered:
- Free: PII and sensitive data redaction, audit logging, and chat GPT UI access with unlimited queries.
- Small Companies/Teams: $500 per month for 25 users, including GPT4-32k UI and API access, Anthropic Claude UI and API access, and native Slackbot integration.
- Enterprises: Custom pricing for unlimited seats, single-tenant or on-premise deployment, and other features like SAML/SCIM and Okta integration and white-glove support.
Credal's goal is to offer a platform that lets businesses use AI without worrying about security and compliance issues, and that meets requirements like GDPR and HIPAA.
Published on June 14, 2024
Related Questions
Can you recommend a platform that allows me to build AI applications with my company's data while ensuring security and compliance? I need a solution that integrates with multiple data sources like Slack and GSuite, while ensuring data security and compliance. Is there a tool that provides end-to-end Retrieval Augmented Generation (RAG) technology for building enterprise-ready AI applications? I'm looking for a platform that offers robust access controls, permissions, and audit capabilities to ensure secure AI development and deployment.
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