Credal is a secure AI agent platform for enterprises, enabling businesses to build and deploy AI agents connected to their proprietary data and tools. It focuses on enterprise-grade security, compliance, and control, featuring permission syncing, PII redaction, and a comprehensive RAG (Retrieval-Augmented Generation) framework. It supports both no-code agent building and a flexible developer API.

5
Added on: 2025-08-15
Price Type Is Paid
Monthly Traffic: 31.1K

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Credal Overview

Credal is an end-to-end, secure AI agent platform designed specifically for the enterprise. It empowers organizations to safely harness the power of generative AI by connecting large language models (LLMs) to their internal data sources and business applications. The core mission of Credal is to enable AI adoption without compromising on security, compliance, or data privacy. It acts as a secure gateway, ensuring that AI agents can access and utilize company knowledge while strictly adhering to existing access controls and security policies.

The platform is built on a foundation of robust security features. It allows businesses to integrate data from a multitude of sources, including Slack, GSuite, Notion, Microsoft, Salesforce, and even custom or proprietary databases. By automatically syncing permissions from these source systems, Credal ensures that users can only access information through the AI that they are already authorized to see, effectively preventing data leakage. This makes it a trusted solution for companies in regulated industries.

How to use Credal

Using Credal involves a structured process designed for security and ease of use within an enterprise setting:

  1. Connect Data Sources: Begin by integrating your company's data repositories. Credal offers out-of-the-box connectors for popular services like Salesforce, Confluence, and GSuite, as well as custom connectors for proprietary systems. During this step, Credal syncs all existing user permissions.
  2. Configure Security and Compliance: Define your security protocols within the Credal dashboard. This includes enabling PII/PHI auto-redaction to prevent sensitive data from reaching LLMs, and uploading your company's Acceptable Use Policies for automated enforcement and auditing.
  3. Build AI Agents: You have two primary ways to build. Use the low-code/no-code agent builder to create specific AI tools (e.g., an IT Support Bot or an AML Assistant) by selecting a model, data sources, and a prompt. Alternatively, developers can use Credal's flexible REST API to build custom, AI-powered applications that leverage the platform's secure backend.
  4. Deploy and Monitor: Deploy your AI agents where your teams work, such as within Slack or integrated into internal portals. Utilize the comprehensive audit dashboard to monitor all AI interactions, review prompts and responses, and ensure compliance with tools like Splunk and Datadog.

Core Features of Credal

  • Secure Data Connectors: Out-of-the-box and custom integrations to connect all your company's data, from SaaS apps to proprietary databases.
  • Permission Synchronization: Automatically inherits and enforces access controls from source systems in real-time, preventing unauthorized data access.
  • PII Auto-Redaction: Automatically identifies and replaces sensitive information (PII, PHI, PCI) with placeholders before data is sent to an LLM, ensuring privacy.
  • Comprehensive Audit Capabilities: Full, exportable audit logs of all prompts, data sources, and AI responses for complete oversight and compliance.
  • End-to-End RAG Platform: A powerful Retrieval-Augmented Generation system that allows AI to securely search, find, and use information from your internal knowledge base with semantic, keyword, or hybrid search.
  • Flexible Developer API: A simple REST API that enables developers to seamlessly build and deploy custom AI applications on top of Credal's secure infrastructure.
  • Low-Code Agent Builder: An intuitive interface for non-developers to build, configure, and deploy custom AI agents for specific tasks and workflows.
  • Multi-Model and Multimodal Support: A single API integration provides access to the latest models from OpenAI, Anthropic, Google, and more, with support for text, images, and other formats.
  • Flexible Deployment: Supports both cloud (SaaS) and on-premise deployments to fit any enterprise's security and infrastructure requirements.

Use Cases for Credal

Credal is versatile and can be applied across various business functions:

  • Customer Support: Empower support agents with an AI that can instantly find answers from SOPs, past tickets, and internal docs. This reduces response times, improves accuracy, and helps analyze ticket trends to proactively address issues.
  • IT Operations: Deploy an IT Support Bot that can handle common employee queries, troubleshoot issues, and create incident timelines by securely accessing IT documentation and systems.
  • Sales and Marketing: Provide sales teams with a secure AI assistant to quickly pull customer data from Salesforce, find relevant case studies from Notion, and draft personalized outreach emails.
  • HR and People Operations: Create an HR bot that can answer employee questions about company policies, benefits, and procedures by accessing the HR knowledge base, while ensuring all sensitive employee data remains confidential.
  • Engineering and Development: Enable developers to use the Credal API to build new product features that leverage generative AI securely, without having to build and maintain the complex security and data infrastructure themselves.

Advantages of Credal

Credal offers significant advantages for enterprises looking to adopt AI:

  • Uncompromised Security: Its security-first approach, with features like permission syncing and PII redaction, mitigates the primary risks of enterprise AI adoption.
  • Accelerated Deployment: Go from concept to a fully functional, secure AI application in days instead of months, thanks to pre-built connectors and low-code tools.
  • Full Control and Governance: Maintain complete oversight of AI usage with detailed audits, policy enforcement, and granular access controls.
  • Flexibility and Future-Proofing: With support for multiple LLMs, cloud/on-prem deployment, and a robust API, Credal ensures your AI strategy can adapt to future advancements.
  • Reduced Infrastructure Overhead: Credal handles the performance, cost optimization, and security logging, allowing your teams to focus on building value-added applications.

Pricing and Plans

Credal's pricing is tailored for business and enterprise use, offered through a custom plan. There is no publicly listed pricing tier; interested parties must contact Credal for a demo and a custom quote.

The Enterprise Plan is designed for large organizations and scaling startups and includes:

  • Custom Pricing
  • Unlimited seats
  • Custom data source connections (including Netsuite, Snowflake, Databricks, etc.)
  • Single Tenant or On-Premise deployment options
  • SAML/SCIM & Okta integration for user management
  • White-glove support and dedicated partnership
  • Role-Based Access Control (RBAC)
  • Support for Azure OpenAI and bringing your own LLM
  • Automated enforcement of Acceptable Use Policies

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CredalWebsite Traffic Analysis

Latest Traffic

Monthly Visits 31.1K
Average Visit Duration 0:43
Pages per Visit 2.63
Bounce Rate 36.4%

Status

Down -7.6% vs Last Month
Data updated on 2026-06-15

Monthly Traffic Trend

Geography

Top 5 Countries/Regions

  • 🇺🇸 United States
    47.42%
  • 🇬🇧 United Kingdom
    18.76%
  • 🇻🇳 Vietnam
    14.36%
  • 🇬🇪 Georgia
    10.77%
  • 🇮🇳 India
    8.69%

Traffic source

Source Type Percentage
Direct Access
71.07%
Referral
19.36%
Email
9.57%

Popular Keywords

Keyword Cost Per Click
$5.39
$6.34
$0.00
$0.00
$1.51

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