Intrascope.app

Product Introduction

1. Definition: Intrascope.app is a SaaS-based collaborative AI workspace designed for enterprise teams. It centralizes access to multiple large language models (LLMs) like OpenAI, Gemini, Claude, and DeepSeek under a unified, secure platform.
2. Core Value Proposition: It eliminates fragmented AI tool usage by providing centralized governance, cost control, and team alignment—enabling organizations to standardize AI interactions, reduce operational overhead by up to 85%, and enforce consistent output quality.

Main Features

1. Unified API Key Management:
   • How it works: Admins integrate a single company-wide API key for all supported LLMs (OpenAI, Gemini, Anthropic, etc.). This eliminates individual key management.
   • Technology: End-to-end encryption + isolated per-company environments.
2. AI Manifests for Behavior Control:
   • How it works: Reusable "manifests" define AI tone, format, and rules (e.g., "Always use formal language for client emails"). These apply automatically to all team chats.
   • Technology: Contextual prompt injection + persistent metadata tagging.
3. Project-Centric Workspaces:
   • How it works: Teams organize work into projects—each with dedicated chats, user permissions, manifests, and token analytics.
   • Technology: Role-based access control (RBAC) + real-time SQL database tracking.
4. Multi-LLM Switching:
   • How it works: Users toggle between integrated models (e.g., GPT-4 → Claude 3) in one chat interface without re-prompting.
   • Technology: Pre-built API connectors + stateless session management.
5. Real-Time Cost Analytics:
   • How it works: Dashboards display token usage per user/project/model, with spend alerts and historical comparisons.
   • Technology: Aggregated telemetry pipelines + predictive billing algorithms.

Problems Solved

1. Pain Point: Fragmented AI tools causing inconsistent outputs, security risks from scattered API keys, and uncontrolled costs.
2. Target Audience:
   • IT/Admin Teams: For governance and compliance.
   • Marketing/Support Teams: Needing brand-aligned AI content.
   • Remote Teams: Requiring shared context across time zones.
3. Use Cases:
   • Generating client reports with compliance-approved language.
   • Onboarding new hires via standardized AI training.
   • Comparing LLM cost/performance for budget optimization.

Unique Advantages

1. Differentiation: Unlike siloed tools (e.g., ChatGPT Teams), Intrascope supports multi-model governance, reusable manifests, and granular cost analytics—all in one workspace. Competitors lack cross-LLM manifest enforcement.
2. Key Innovation: The manifest system acts as a "source of truth" for AI behavior, ensuring consistency across models—a patented approach to enterprise AI alignment.

Frequently Asked Questions (FAQ)

1. How does Intrascope.app reduce AI costs for teams?
   By consolidating API keys and providing usage analytics, teams avoid redundant subscriptions and optimize model selection—saving up to 85% versus individual accounts.
2. Can Intrascope enforce brand guidelines in AI outputs?
   Yes. Manifests define tone/format rules (e.g., "Always include disclaimers in marketing copy"), applied automatically across all models and users.
3. Is data shared with third parties when using Intrascope?
   No. All data is end-to-end encrypted, stored in isolated environments, and never used for training—companies retain full ownership.
4. How many AI models can teams access simultaneously?
   All integrated models (OpenAI, Gemini, Claude, DeepSeek, xAI) are available instantly. Teams switch between them per project without setup.
5. What happens if a user exceeds token limits?
   Admins set hard/soft limits per project/user. Exceeding triggers alerts or automatic model downgrades to control costs.