September 3, 2025
Benas Bitvinskas, Co-Founder at Supercamp
Why Smart Teams Are Using Custom AI Workspaces
The era of paying monthly subscriptions for basic AI access is ending. Teams around the world are discovering they can host their own AI workspaces.
What started as a simple need to move beyond ChatGPT's limitations has evolved into something much bigger. Supercamp has become the platform for teams worldwide to start advancing from a simple ChatGPT interface to custom LLM models and teams using their own setup flows.
The evolution beyond simple tools
Remember when ChatGPT felt revolutionary? That single text box that could answer almost anything?
But then reality hit. Your team needed more than casual conversations with AI. You needed:
Custom models that understand your specific domain
Team collaboration where multiple people can work with the same AI setup
Tool integration that connects to your actual business systems
Cost control that doesn't scale with usage
Privacy where your data stays on your infrastructure
That single ChatGPT interface suddenly felt limiting.
The self-hosted AI movement
Smart teams started looking for alternatives. Platforms like LibreChat and Open WebUI emerged, offering self-hosted solutions where you could run your own AI interfaces with custom models.
These platforms solved the basic problem: getting off expensive API subscriptions and running AI on your own hardware. You could connect to Ollama, use local models, and maintain complete control over your data.
But they also revealed new challenges:
Setup complexity: Getting everything configured and running smoothly
Maintenance overhead: Keeping systems updated and secure
Limited collaboration: Most solutions were built for individual use
Integration gaps: Connecting to business tools required custom development
The vision was right. The execution was still early.
The managed hosted approach
This is where Supercamp changes the game.
We took the best parts of the self-hosted movement - complete control, cost efficiency, custom models - and wrapped them in a managed solution that teams can start using immediately.
Your infrastructure, our management.
Here's how it works:
Custom LLM Models: Connect your LLM instances, use your fine-tuned models, or mix and match between local and cloud LLMs based on the task. Switch between models for complex reasoning and domain-specific work.
Team Setup Flows: Design onboarding processes that work for your organization. New team members get access to the right models, tools, and permissions from day one.
MCP Server Integration: This is where we go beyond traditional platforms. Our Model Context Protocol (MCP) support means your AI can connect to any system through standardized interfaces. Many MCP servers are completely free, and we also provide custom MCP server hosting for your specific needs.
Multi-User Collaboration: Unlike individual-focused solutions, Supercamp is built for teams. Share workspaces, collaborate on AI projects, and maintain consistent setups across your organization.
The compound effect
Start with one custom AI workspace. Connect your LLM models, set up your team flows, integrate your tools through MCP servers. Watch productivity jump.
But that's just the beginning.
The real transformation happens when your entire organization operates with AI that truly understands your business - using your models, following your processes, connecting to your systems.
Instead of fighting generic tools that don't understand your domain, your teams work with AI that speaks your language and respects your constraints.
The future is self-hosted
We're seeing the early signs of a fundamental shift.
Companies that host their own AI workspaces - with custom models, integrated tools, and team collaboration - are pulling ahead. Not just in cost efficiency, but in capability.
While competitors struggle with API rate limits and generic models, these companies have AI that understands their specific challenges, uses their proprietary data, and operates within their exact requirements.
The question isn't whether to adopt AI. The question is whether you'll build a workspace that truly serves your business, or settle for generic tools that force you to adapt to their limitations.