Credal.ai
Secure enterprise AI platform for access-controlled agents, search, and RAG applications.
What is Credal.ai?
Credal AI is a secure enterprise AI agent platform designed to allow businesses to deploy generative AI applications safely. Serving as the primary platform for company-wide AI deployments, Credal webapp features a Chat UI, Slackbot, and flexible REST API that protects sensitive data by masking PII, tracking deep audit logs, and enforcing real-time permissions. Many enterprises face intense DB AI tools security concerns, particularly around unauthorized data exposure and compliance; Credal resolves this by ensuring models can only use context from company data that the user is already authorized to access. It stands out in how does credal ai differ to glean by offering an end-to-end framework for access-controlled Retrieval Augmented Generation (RAG) and multi-agent orchestration, complete with tools like the 'The AI Adoption Playbook Podcast' to guide companies through enterprise scaling while mitigating agent sprawl.
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Best Credal.ai use cases by task, role, industry, and platform
These use cases show where Credal.ai fits best, ranked by fit score before popularity or pricing.
Credal.ai Pricing Plans
Compare Credal.ai free options, Credal.ai paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Contact for Pricing
Includes unlimited seats, custom data sources, single tenant / on-prem options, SAML/SCIM & Okta integration, white-glove support, RBAC, Azure OpenAI, bring-your-own LLM, and unlimited data sources like Snowflake, NetSuite, Databricks, and S3.
Pricing updated:Jun 12, 2026
Credal.ai AI Features
Credal.ai Pros and Cons
Pros
- Robust security posture with SOC 2 Type 2, GDPR, and CCPA compliance
- Seamless migration utilities for teams switching from Dashworks
- Supports both flexible cloud and isolated on-premise single-tenant deployments
- Prevents corporate data leakage to third-party LLM providers
Limitations
- Pricing requires reaching out to sales for a custom demo
- Advanced custom data ETL pipelines require initial configuration inside their UI