

Intrascope is a shared AI workspace designed for teams to manage their AI tools collectively. It centralizes access to multiple large language models like OpenAI, DeepSeek, Gemini, Claude, and Anthropic within one secure environment. The platform eliminates scattered personal accounts and disconnected prompts by providing unified company-wide access.
Key features include manifests that define how AI behaves for the whole team, allowing administrators to set clear guidelines for tone, format, and purpose. The platform offers project-based organization where each project contains its own chats, users, and manifest logic. Real-time analytics track token consumption and usage across different models, while administrators can set usage limits and monitor spending.
The platform works by creating a shared company workspace where administrators invite teammates through a dashboard and manage a single API key for the entire organization. Manifests act as custom instructions that guide AI responses consistently across all team interactions. Users chat with their chosen models through a unified interface that respects project settings and manifest guidelines.
Benefits include cost savings of up to 85% by using your own API keys, improved team collaboration through shared context, and full control over data privacy and security. Use cases span generating code summaries, documents, creative content, and managing multiple departments or client projects.
The target audience includes companies with multiple departments or remote teams, particularly writers, marketers, analysts, and support agents. Integrations support major AI providers including OpenAI, DeepSeek, Gemini, Anthropic, and xAI. Technical details include end-to-end encryption, isolated company environments, and whitelabel customization options.
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Intrascope is designed for companies with multiple departments or remote teams, including writers, marketers, analysts, support agents, and developers. The platform serves organizations needing to centralize AI usage across teams while maintaining control over costs, data security, and consistent AI behavior. It's particularly suitable for businesses managing multiple projects, clients, or campaigns that require structured AI collaboration with full administrative oversight.