We serve mid-to-large enterprises (500-5,000+ employees) that build software in-house and need to connect AI tools to internal systems securely. Our customers include **[Wix.com](https://wix.com)** (5,000+ employees), and other tech-forward organizations with active AI adoption initiatives and security requirements that prevent ad-hoc tool adoption.

Here are typical team setups we see: **At mid-size tech companies:** - **AI adoption leaders** (VP Engineering, CTO, Head of DevEx) define which tools employees can access and set governance policies - **IT/Security teams** configure SSO, manage permissions through RBAC, and monitor usage via audit logs - **Engineers and employees** use their preferred AI agents (Claude, Cursor, ChatGPT) and immediately access approved internal tools—they don't interact with Webrix directly, they just benefit from frictionless access **At larger enterprises:** - **Security teams** enforce guardrails, review audit logs, and ensure compliance - **Department leads** customize tool access for their teams - **DevOps/Platform teams** manage the gateway infrastructure (especially for on-premise deployments) Individual developers can start with free accounts to connect their AI agents to personal tools, then expand to team deployment when they need enterprise security and governance.

Webrix doesn't replace your tools—it connects them. We replace the fragmented, insecure approach of employees manually configuring AI agents with direct credentials to internal systems. **Instead of:** - IT tickets for every new tool connection - Scattered credentials and security vulnerabilities - No visibility into AI usage across the organization - Security teams blocking AI adoption entirely **You get:** - One secure gateway that employees connect to once - Centralized authentication, permissions, and audit logs - Self-service access to approved tools without IT friction - Complete visibility into who's using AI and how

- **Connect AI agents to internal systems** like Jira, GitHub, databases, Salesforce, internal APIs, and custom tools. Engineers use Claude or Cursor to query production databases, create GitHub PRs, or update Jira tickets without manual credential setup. - **Enable secure AI adoption at scale.** Roll out Claude, ChatGPT, or Cursor to your entire engineering org with SSO authentication, role-based permissions, and complete audit trails—without security concerns blocking adoption. - **Gain visibility into AI usage.** Track which teams are using AI tools, what internal systems they're accessing, and measure productivity gains across your organization. - **Enforce governance policies.** Set guardrails on what AI agents can access, implement PII protection, require approvals for sensitive operations, and maintain compliance with your security standards. Teams commonly use Webrix to accelerate engineering productivity, unblock AI adoption initiatives that security teams previously blocked, and prove ROI on AI investments with concrete usage metrics.