Corral AI deploys a complete, managed AI foundation directly inside a customer's Azure tenant, enabling enterprises to build and deploy AI agents, copilots, and assistants without sending sensitive data outside their security perimeter. The platform combines zero-access architecture with a Cumulative Restrictions Framework that governs agent behavior, and it includes pre-built interfaces like a Hub workspace, embeddable widgets, and Teams/Slack integrations. Deployment takes approximately 30 minutes via the Azure Marketplace.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI projects frequently fail because the surrounding infrastructure—model selection, data integration, tool access, and security controls—is incomplete, requiring expensive custom builds that cost over $500K and take 6-12 months before customization can begin. Traditional SaaS AI solutions force sensitive data outside the corporate perimeter, while self-hosted options burden teams with maintenance, leaving organizations without a secure, practical path to production AI.
Solution
Corral AI provides a managed AI foundation that deploys directly into a customer's Azure tenant, ensuring all data processing stays within the organization's security boundary while Corral handles updates, monitoring, and scaling. The platform's zero-access architecture means encryption keys never leave customer control, and its Cumulative Restrictions Framework tracks agent exposure to untrusted content, constraining subsequent actions through permission scoping, human-in-the-loop approvals, and immutable audit logging. Users can visually configure agents, test them in sandboxed environments, and promote them through IT approval gates before shipping to any surface—including a full Hub workspace, embeddable widgets, Teams/Slack integrations, or custom APIs. The platform supports agents, copilots, and assistants as different patterns on the same foundation, with pre-built templates and custom tool definitions for extensibility.
Target Audience
Primary customers are enterprises in regulated industries—such as financial services, healthcare, and government—that require AI capabilities without compromising data security, along with IT and security teams seeking managed deployment with architectural guardrails.
Features
- On-tenant Azure deployment with zero data egress, private endpoints, and VNet integration, inheriting Azure certifications
- Zero-access architecture where the management plane operates without access to customer content and encryption keys never leave customer control
- Cumulative Restrictions Framework that detects prompt injections, flags tainted reasoning, and applies escalating constraints on agent actions
- Visual agent builder with sandbox testing, IT/admin approval gates, and production promotion workflows
- Pre-built surfaces including a Hub workspace with persistent file systems, code execution, and sub-agent orchestration
- Embeddable chat widgets with context awareness, Teams/Slack native integrations with @mention invocation, and REST/streaming APIs
- Immutable audit trail logging every conversation, tool call, and decision with full context for compliance and security teams
- MCP and OpenAPI extension points with custom tool definitions for deep customization