Supercamp is an AI workspace platform that connects different AI models like ChatGPT, Claude, and Gemini with your team's tools and workflows. You can create custom AI assistants trained on your company's knowledge, automate routine tasks, and share them across departments with role-based access. The platform integrates with 6,000+ MCP servers and apps, allowing you to build AI assistants that understand your business context.

• Multi-Model Access: Connect to OpenAI, Anthropic, self-hosted models like Ollama, or use built-in access to major AI models, all in one clean interface.
• Custom AI Assistants: Create assistants trained on your company knowledge by uploading documents, connecting databases, or linking your existing knowledge base.
• 6,000+ MCP Server Integration: Connect to managed or self-hosted MCP servers, giving every AI assistant access to tools and data it needs.
• Workflow Automation: Set up automated workflows for routine tasks like data processing, report generation, and customer communications that run on schedule.
• Team Collaboration: Share AI assistants, tools, and dashboards with role-based access across departments, turning AI knowledge into institutional expertise.
• Custom Workspace Branding: Personalize your workspace with your own logo, color palette, and custom domain.
• Pre-Made Templates: Start quickly with pre-built AI assistant templates connected to tools, or build entirely new assistants from scratch.
• Scheduled Tasks: Configure AI assistants to handle repetitive tasks automatically while you're away from the keyboard.

• Centralized AI Management: Access multiple AI models from different providers without switching between platforms or managing separate accounts.
• Knowledge Continuity: New team members get instant access to institutional knowledge that typically takes months to develop.
• Workflow Integration: Connects with thousands of existing apps, so data flows automatically without disrupting current processes.
• Role-Specific Assistants: Create specialized AI helpers for different departments - sales gets product experts, support gets troubleshooting specialists.
• Flexible Deployment: Works with commercial AI providers or self-hosted models, giving you control over data and infrastructure.

• Setup Complexity: Connecting multiple MCP servers, databases, and custom assistants may require technical knowledge and time investment.
• Enterprise Focus: Features like custom domains and extensive integrations suggest the platform targets larger organizations rather than individual users.

• Customer Support Scaling: Create AI assistants trained on your product documentation and support history, allowing support teams to handle more inquiries with consistent, accurate answers while new hires get up to speed faster.
• Sales Enablement: Build product-focused AI assistants that help sales teams quickly find specifications, pricing, and competitive information during customer conversations, reducing time spent searching for answers.
• Automated Report Generation: Schedule AI assistants to pull data from connected systems, process it, and generate regular reports for different departments without manual intervention.
• Onboarding Acceleration: Give new employees AI assistants that know your company's processes, tools, and culture, answering questions instantly instead of waiting for coworker availability.
• Cross-Department Knowledge Sharing: Create a unified AI workspace where marketing can access sales insights, product teams can tap support feedback, and everyone works from the same institutional knowledge.
• Workflow Automation: Connect AI assistants to your CRM, project management tools, and communication platforms to automate routine tasks like data entry, follow-ups, and status updates.