Intrascope

Intrascope provides a secure AI workspace where teams share one environment to work with multiple large language models such as OpenAI, DeepSeek, Gemini, Anthropic, and xAI. It centralizes API keys, manifests (structured instructions for model behavior), projects, and analytics so companies can coordinate AI usage, control costs, and keep data in a private, isolated space. The goal is to replace scattered personal AI accounts with one controlled hub for everyday work with LLMs.

Key Features

• Shared Team Workspace: One company workspace with admin controlled access, individual logins, and personal histories, all operating in the same team context and using a single API key source.
• Manifests for Consistent Behavior: Project or workspace level manifests define tone, role, and formatting rules so AI responses stay aligned with brand guidelines and team goals across models and users.
• Multi LLM Access in One UI: Users can switch between OpenAI, DeepSeek, Gemini, Claude, and others inside a familiar chat interface, while the platform tracks which model handled which work.
• Projects as Smart Containers: Each project groups chats, users, and its own manifest, making it easier to separate internal teams or external clients and see who did what and how many tokens were spent.
• Analytics, Cost Control, and BYO API: Real time dashboards show token usage, model preferences, and spending, while bring your own API keys can cut costs by up to roughly 85 percent compared with bundled credits.

Pros

• Strong Governance: Centralizes permissions, API keys, and manifests so leaders can standardize how AI is used across departments.
• Cost Control Focus: BYO keys, usage analytics, and token comparisons help teams choose cheaper or faster models instead of guessing.
• Security First Positioning: Encrypted conversations, isolated workspaces, and no training on customer data appeal to privacy sensitive organizations.
• Low Friction Adoption: The interface behaves like familiar chat tools, so non technical roles such as writers or support agents can join without special training.

Cons

• Single Shared API Key Model: One key per workspace simplifies billing but may feel limiting for enterprises that want per team or per project keys.
• Ecosystem Still Young: Roadmap items such as image tools, unified assistant across projects, and agentic workflows are planned rather than fully delivered, so early buyers are partly betting on future development.
• Limited Third Party Integrations Today: The focus is on LLM APIs and the web app; deep integrations into tools like Slack or Jira are not a headline feature yet.

Who Uses It

• Software Development Teams: Using manifests and multi model access to review code, generate documentation, and prototype internal tools.
• Marketing and Content Teams: Creating brand aligned copy, campaign concepts, and content variations inside shared projects with controlled tone and style.
• Customer Support and Success Teams: Drafting replies, help center articles, and internal macros while keeping all usage visible to managers.
• Data and Analytics Teams: Summarizing reports, drafting SQL or Python snippets, and comparing model performance for analytical tasks.
• Uncommon Use Cases: Utilized by agencies that want a branded, whitelabel style AI portal per client; Adopted by compliance or legal teams that need a controlled environment to trial LLMs without pushing data into public chat tools.

Pricing

• Usage-Based (Basic): $10 per month; includes 5 projects, 10 users plus admin, access to all APIs, 500MB database limit, and mail support.
• Usage-Based (Pro): $24 per month; includes 10 projects, 25 users plus admin, access to all APIs, 1GB database limit, privileged token pricing, and premium mail support.
• Self API: $299 one-time; includes 10 projects, 25 users plus admin, access to all APIs (OpenAI, Deepseek, Gemini, Anthropic, XAI), 1GB database limit, and optional $49 yearly support renewal.