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Intrascope.app is a secure, collaborative AI workspace that helps teams centralize how they use multiple large language models in one platform. It is designed for companies that work with models such as GPT, Claude, Gemini, DeepSeek, and xAI, providing a unified interface for AI-assisted tasks, shared resources, and consistent workflows across departments.
The platform focuses on centralized AI management, allowing organizations to connect their own API keys and give teams controlled access to leading AI providers through a single environment. Administrators can configure providers, set limits, define governance rules, and manage role-based access so that different users and teams can work safely within defined boundaries.
A key capability of Intrascope.app is its manifest-based context engine, which lets teams create reusable instruction sets that define tone, format, and behavior for AI outputs across projects. This structure supports consistent responses for client work, internal documentation, code assistance, marketing content, and other recurring workflows, without the need to repeat detailed prompts.
For collaboration and organization, Intrascope.app supports company workspaces with projects grouped by client, team, or campaign. Within each project, users can maintain chats, associate them with specific manifests, and access shared AI resources. White-label options enable customization of branding, including logos and domains, so organizations can align the interface with their internal or client-facing identity.
The platform includes usage analytics and cost control features, offering real-time visibility into token consumption, spending, and model performance. Admin dashboards provide granular statistics to compare models, monitor usage by user or team, and optimize which AI providers are used for specific tasks. By consolidating AI usage and enabling bring-your-own-API-key setups, organizations can track and manage AI-related costs more effectively.
Intrascope.app also emphasizes privacy and security, with isolated company environments, encryption, and a data-handling approach that does not use customer content for model training. This makes it suitable for businesses that need structured AI collaboration, governance, and oversight while maintaining control over their data and AI infrastructure.
Website: intrascope.app
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