Webrix's answer

• Wix.com (5,000+ employees)
• Leading tech companies in fintech and SaaS sectors
• Enterprise organizations with complex security and compliance requirements

The Work Docs's answer:

Some of founder close friends and profession in Vietnam

Webrix's answer

Webrix is the only enterprise MCP Gateway built specifically for AI adoption at scale. Unlike generic API management or agent platforms, we provide purpose-built infrastructure that connects any MCP-compatible AI agent to internal systems through a single secure gateway. Our architecture is built on the open Model Context Protocol standard (avoiding vendor lock-in), provides enterprise-grade security controls from day one (SSO, RBAC, audit trails), and enables self-service tool access without IT bottlenecks. We solve the last-mile problem that blocks AI adoption: giving employees instant, secure access to the internal tools their AI agents need.

The Work Docs's answer:

The Work Docs stands out because it doesn’t just open PDFs — it understands them. Our AI lets you ask questions, get instant answers, and quickly find important information without reading the entire document. It's fast, easy to use, and saves you a lot of time compared to traditional PDF readers.

Webrix's answer

• Flexible Deployment: Choose on-premise, dedicated cloud, or SaaS based on your security requirements
• Real Enterprise Usage: Already deployed at 5,000+ employee organizations with complex security needs
• Security-First Architecture: Enterprise security controls aren't bolted on later - they're foundational
• Universal Agent Support: Works with Claude, ChatGPT, Cursor, n8n, and any MCP-compatible agent
• Developer Experience: Built by developers for developers - fast setup, clear documentation, minimal friction

The Work Docs's answer:

People should choose The Work Docs because it makes working with PDFs faster and easier than ever. Instead of spending hours searching through documents, you can ask questions and get quick, accurate answers. Our tool is easy to use, saves time, and gives you smart insights that most regular PDF readers can't offer.

Webrix's answer

AI adoption leaders, VPs of Engineering, CTOs, and technical decision-makers at mid-to-large enterprises (500-5,000+ employees) that build software in-house. These organizations have strong technical capabilities, existing internal tools that need AI integration, and security/compliance requirements that prevent ad-hoc AI tool adoption. Secondary audiences include security teams evaluating POCs, engineering teams wanting faster AI tool access, and IT leaders needing visibility into AI usage and ROI.

The Work Docs's answer:

Our primary audience includes students, researchers, lawyers, business professionals, and anyone who works with large or complex PDF documents. They are people who need to save time, find information quickly, and make working with documents easier and more efficient.

Webrix's answer

Webrix was founded by developers who saw the same pattern repeating across enterprises: employees wanted to use AI tools like Claude, Cursor, and ChatGPT with their internal systems, but security teams had to block access because there was no safe way to connect AI agents to Jira, GitHub, databases, and internal APIs. IT teams were drowning in access requests while developers worked around restrictions. We built Webrix to solve this fundamental infrastructure gap - providing the secure gateway layer that enterprises need to actually adopt AI at scale without compromising security, compliance, or control.

The Work Docs's answer:

The Work Docs was created to solve a common problem — wasting hours reading through long PDF documents just to find the information you need. We saw how frustrating and time-consuming it could be, especially for students, professionals, and researchers. So we built an AI tool that makes it easy: just upload a document, ask a question, and get clear, quick answers. Our goal is to make working with PDFs smarter, faster, and less stressful.

Webrix's answer

Kubernetes for container orchestration, Helm for deployment management, Docker for containerization, and the Model Context Protocol (MCP) as the core standard for agent-tool communication. Our gateway runs on cloud-native infrastructure with support for PostgreSQL for session management, integrates with standard identity providers (Okta, Azure AD, Google Workspace) for SSO, and uses industry-standard security practices including secrets management, and audit logging.

The Work Docs's answer:

AI Technology with Web technology