Credal.ai

Main Features

• Data Integration: Offers pre-built data connectors for instant integration with Slack, GSuite, Notion, Microsoft, Salesforce, Confluence, and more; supports custom data connectors with real-time sync and permissioning, handles common file formats like JSON, XML, CSV, and allows ETL pipeline management in the UI.
• Enterprise RAG Platform: Acts as an end-to-end Retrieval Augmented Generation platform supporting semantic, keyword, or hybrid search, enabling enterprise-grade RAG, search, and chat functionality on day one across all documents.
• API & Development: Provides a flexible and secure REST API (with endpoints like sendMessage, uploadDocumentUrl, searchDocumentCatalog), supports the latest models from OpenAI, Anthropic, Google, etc., and is fully interoperable and multimodal with common endpoints like text/chat completions and images, and popular libraries like LangChain.
• Agent Building & Deployment: Includes pre-built UI frameworks and low-code/no-code tooling, allowing users to pick models, data, and prompts, and deploy AI agents into any chat surface where teams work (e.g., Slack).

Security & Compliance

• Permission Synchronization: Syncs permissions from all source systems, automatically updates the permissions cache in real-time synced with SSO, and provides granular, configurable access controls to ensure no data leakage in generative AI usage.
• Auto Redaction: Automatically replaces PII, PHI, PCI, and secrets/API keys with placeholders before passing data to third-party models, and restores them upon return, helping maintain HIPAA compliance.
• Comprehensive Audit: Provides full audit logging for generative AI (including prompts, data, and responses), integrating with tools like Splunk, Prometheus, and Datadog.
• Compliance Standards: Infrastructure is SOC 2 Type 2 compliant and adheres to GDPR and CCPA regulations.

Deployment & Policies

• Supports both cloud and on-premise deployments to suit different business needs.
• Built-in Acceptable Use Policy enforcement providing oversight, auditing, and alerting for IT teams.

Target Users & Use Cases

• Target Users: Large enterprises and scaling startups, spanning IT & Operations, Engineering, Sales, HR, and Support departments.
• Use Cases: IT Support Bots, Anti-Money Laundering (AML) Assistants, Incident Timeline Bots, etc. For instance, Checkr achieved an 85% organization-wide AI tool adoption rate through the platform, delivering immediate business impact.