Credal

About Credal

Provides a secure platform for enterprises to build and deploy Retrieval-Augmented Generation (RAG) applications that integrate with existing data sources while enforcing access controls and compliance. It prevents data leakage and protects sensitive information through real-time permission synchronization, automatic PII redaction, and comprehensive audit logging. The flexible API and low-code tools enable seamless deployment of AI-powered workflows, such as secure chatbots and enterprise search, across various platforms.

```xml <problem> Enterprises face challenges in securely integrating Large Language Models (LLMs) with internal data sources for Retrieval-Augmented Generation (RAG) applications. Data leakage, unauthorized access, and compliance violations are key concerns when connecting LLMs to sensitive enterprise data. </problem> <solution> Credal provides a secure enterprise RAG platform that enables organizations to build and deploy AI-powered applications while maintaining strict access controls and compliance. The platform integrates with existing data sources, synchronizing permissions in real-time to prevent data leakage. Automatic PII redaction ensures sensitive information is protected, and comprehensive audit logging provides visibility into data access and usage. Credal offers a flexible API and low-code tools for seamless deployment of secure AI workflows, including chatbots and enterprise search, across various platforms. </solution> <features> - Point-and-click integrations with data sources like Slack, GSuite, Notion, Microsoft, Salesforce, and Confluence - Real-time permission synchronization with source systems and SSO - Automatic PII redaction to prevent leakage of sensitive data - Comprehensive audit logging for prompts, data access, and AI responses - Pre-built UI frameworks and low-code/no-code tooling for building AI copilots - Flexible REST API for building and deploying custom AI-powered applications - Support for multiple LLMs from OpenAI, Anthropic, and Google - SOC 2 Type 2 compliance, with support for GDPR and CCPA - Both cloud and on-premise deployment options </features> <target_audience> Credal targets enterprises and scaling startups seeking to securely leverage generative AI with their internal data, including IT, security, and compliance teams. </target_audience> ```

What does Credal do?

Provides a secure platform for enterprises to build and deploy Retrieval-Augmented Generation (RAG) applications that integrate with existing data sources while enforcing access controls and compliance. It prevents data leakage and protects sensitive information through real-time permission synchronization, automatic PII redaction, and comprehensive audit logging. The flexible API and low-code tools enable seamless deployment of AI-powered workflows, such as secure chatbots and enterprise search, across various platforms.

When was Credal founded?

Credal was founded in 2022.

Founded
2022
Employees
12 employees
Major Investors
Comcast NBCUniversal LIFT Labs

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Credal

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Executive Summary

Provides a secure platform for enterprises to build and deploy Retrieval-Augmented Generation (RAG) applications that integrate with existing data sources while enforcing access controls and compliance. It prevents data leakage and protects sensitive information through real-time permission synchronization, automatic PII redaction, and comprehensive audit logging. The flexible API and low-code tools enable seamless deployment of AI-powered workflows, such as secure chatbots and enterprise search, across various platforms.

Funding

Major Investors

Comcast NBCUniversal LIFT Labs

Team (10+)

No team information available.

Company Description

Problem

Enterprises face challenges in securely integrating Large Language Models (LLMs) with internal data sources for Retrieval-Augmented Generation (RAG) applications. Data leakage, unauthorized access, and compliance violations are key concerns when connecting LLMs to sensitive enterprise data.

Solution

Credal provides a secure enterprise RAG platform that enables organizations to build and deploy AI-powered applications while maintaining strict access controls and compliance. The platform integrates with existing data sources, synchronizing permissions in real-time to prevent data leakage. Automatic PII redaction ensures sensitive information is protected, and comprehensive audit logging provides visibility into data access and usage. Credal offers a flexible API and low-code tools for seamless deployment of secure AI workflows, including chatbots and enterprise search, across various platforms.

Features

Point-and-click integrations with data sources like Slack, GSuite, Notion, Microsoft, Salesforce, and Confluence

Real-time permission synchronization with source systems and SSO

Automatic PII redaction to prevent leakage of sensitive data

Comprehensive audit logging for prompts, data access, and AI responses

Pre-built UI frameworks and low-code/no-code tooling for building AI copilots

Flexible REST API for building and deploying custom AI-powered applications

Support for multiple LLMs from OpenAI, Anthropic, and Google

SOC 2 Type 2 compliance, with support for GDPR and CCPA

Both cloud and on-premise deployment options

Target Audience

Credal targets enterprises and scaling startups seeking to securely leverage generative AI with their internal data, including IT, security, and compliance teams.

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