Audience
Agencies, SaaS teams, support/ops, small product teams
About Intrascope
Intrascope is a BYOK team chat workspace for using multiple LLMs (GPT, Claude, DeepSeek, etc.) in one place, with shared persistent context called “Manifests”. Instead of prompts and decisions living in personal chat histories, teams keep reusable project context (docs, guidelines, tone, requirements) so outputs stay consistent and knowledge doesn’t disappear when someone leaves. Connect your own API keys, pay per usage (not per seat), and control which models get used per project.
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P30
Your team is already using AI. They're just using it alone.
Everyone works in a separate chat window, so nobody sees what anyone else figured out, the same questions get asked five times, and when someone leaves, everything they built with AI leaves in their personal account.
P30 puts your whole team in one AI workspace where prompts, answers and projects are shared by default - visible, reusable and owned by the business. Every project adds to persistent organizational memory, so P30 gets better at your business over time instead of starting from zero every session.
On top of that sit pre-built engines for specific jobs: an AI Chief of Staff that collects team updates, tracks KPIs and prepares executive briefings, plus project management and social. Teams can also work across Claude, GPT, Gemini and Grok together and compare answers side by side, on one bill.
End-to-end encrypted, role-based access, never trained on your data.
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Twigg
Twigg is a context-management tool designed for long-term interactions with large language models that replaces linear chat threads with a visual, branching tree of conversation nodes, giving users control over what context is sent to the model. You can explore alternate directions by instantly creating new branches from any point, cutting or copying nodes, deleting or moving content to optimize the prompt context, and thus improve performance while managing complexity. The interface provides a dashboard tracking token usage per model and shows credit consumption transparently. By controlling context at the node level, Twigg helps reduce unnecessary tokens and supports the concurrency of ideas without cluttering your main workflow. Compatible with major models (via BYOK support) and designed for extended projects, Twigg essentially acts as “Git for LLMs”, enabling versioning, branching, and precise context management for conversational AI workflows.
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HQ
HQ is the shared AI context layer for teams, giving the whole team and every AI tool one workspace to work from, with knowledge, skills, and workflows compounding in one place, and any agent running on top. It works as an operating system for AI workers over Claude Code, Cursor, Codex, ChatGPT, and Claude chat through MCP, so every teammate and every agent can start from the same shared context instead of separate chat histories, scattered files, and siloed workflows. HQ turns one person’s best work into team infrastructure: any prompt or workflow can become a reusable /command, then /hq-sync ships it to the whole team so anyone can run it in one step. Knowledge that usually lives across decisions, docs, playbooks, policies, projects, code, and ideas accumulates in HQ as the team works, creating one source of truth that every agent can search, reuse, and build on. Agents can be deployed into email and Slack, acting on top of the team’s skills and knowledge with full context.
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Anuma
Anuma is a privacy-first, multi-model AI platform that unifies access to leading proprietary and open-source AI systems within a single interface while giving users full ownership and control over their data. It allows users to interact with models such as ChatGPT, Claude, Gemini, Grok, and open source alternatives like DeepSeek or Qwen without switching tools or losing context, enabling seamless workflows across different AI engines. At its core is a Private Memory Layer that stores user preferences, conversation history, and context in an encrypted, user-controlled environment, ensuring that sensitive data is not accessible to providers or stored centrally. This memory persists across sessions and models, allowing users to continue tasks without re-explaining information and maintaining continuity in complex workflows. It supports comparing multiple models simultaneously, building custom mini-apps and automations without code.
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Pricing
Starting Price:
$39 month / $299 one-time
Free Trial:
Free Trial available.
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Company Information
Intrascope
Founded: 2025
Serbia
intrascope.app
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