The AI control layer for companies
Your team gets AI.Your company keeps control.
120+ models in one workspace, from GPT and Claude to Gemini. You decide who uses which model, keep company context in one place and see every dollar of spend.
Works with the models your company already pays for
- ChatGPT
- Claude
- Gemini
- Grok
- DeepSeek
- Mistral
- Qwen
- Kimi
- Meta
- Your custom LLM/SLM
- Registered companies
- 170+
- Models available
- 120+
- Workspace sessions
- 7,000+
- Tokens processed
- Millions
AI adoption is exploding. Company control is not.
Someone opens ChatGPT, someone else buys Claude, a third team tries Gemini. Soon you have shadow AI, lost context and bills nobody can explain.
Problem: Scattered tools
Different people use different AI tools, accounts, models, and billing methods.
Intrascope: One shared workspace
Every approved model in one interface, with one bill and clear ownership.
Problem: Lost context
Important instructions, brand rules, and project knowledge stay buried in individual chats.
Intrascope: Knowledge that stays
Manifests and projects keep brand rules and client context inside the company.
Problem: Weak visibility
Managers cannot easily see how AI is being used across users, projects, and models.
Intrascope: Usage you can see
Tokens, cost and model mix by user, team and project.
Problem: Uncontrolled spending
Premium models and individual subscriptions create unnecessary costs without clear ownership.
Intrascope: Limits that hold
Budgets per user, team and workspace, plus caps on individual models.
Everything a company needs to run AI day to day
A workspace your team will use, a control center your admins will trust, and knowledge that compounds.
Workspace
One chat for every model your team needs
A familiar AI chat with GPT, Claude, Gemini, DeepSeek, Grok, Mistral and more. Switch models per task, inside company projects instead of personal tabs.
- Multi-model chat in one interface
- Projects for clients, teams and workflows
- Files that stay with the right project
Control Center
Decide who can use what, and at what cost
Admins approve models, set limits and see usage by user and project. Teams keep their speed. The company gets governance and a clear record of how AI is used.
- Model access control and spending limits
- Usage and cost analytics by user and project
- BYOK or managed usage, your choice
Knowledge
Company context that stays with the company
Brand rules, client briefs and project instructions live in shared manifests, and the prompts that work become Skills anyone can run with /. New hires start with context. When someone leaves, the knowledge stays.
- Company and project manifests
- Skills your team runs with one /
- Chats and files kept with the right project
