AICamp

AICamp is a collaborative AI workspace for teams with chat, prompt sharing, assistants, project work, multi-model support, internal files, and usage controls.

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What AICamp does

AICamp is a collaborative AI workspace for teams that want a central place to use large language models, share prompts, and organize AI-assisted work. The product positions itself as a secure workspace for employees rather than a single-purpose chat app.

Across the site, AICamp describes workflows for chat, internal knowledge, assistants, and project-based collaboration. The platform also supports bringing your own model keys, using models from multiple providers, and rolling out access with team and enterprise controls.

Core capabilities

Unified multi-model chat

Run AI chats in a single workspace that supports prompts, documents, images, and multiple models, so teams do not need separate tools for each task.

File and data chat

Upload internal files such as PDFs, DOCX, CSV, XLSX, PPT, Markdown, and text for question answering, summaries, comparisons, and analysis.

Collaborative prompt library

Create reusable prompts, share them across teams, and search a prompt library to standardize common workflows.

Custom assistants

Build assistants for department-specific workflows and connect them to internal knowledge, shared folders, or vector databases.

Project workspaces

Organize chats and resources by client or project, with custom instructions and knowledge bases for each workspace.

Usage analytics

Track adoption and usage to understand how teams are using AI and to support cost oversight.

Common workflows

Daily team chat and drafting
Employees can draft, summarize, compare, and analyze content in one chat while using the model that best fits the task.
Internal knowledge lookup
Teams can upload internal documents and ask questions against private files to reduce manual searching through folders and shared drives.
Prompt standardization
Managers can create reusable prompts and shared libraries so teams use consistent language and repeatable workflows.
Role-specific assistants
Departments can build assistants for recurring roles such as code review, brand voice editing, or ticket triage.
Project-based collaboration
Project teams can keep chats, docs, and instructions grouped by client or initiative to separate work and preserve context.

Pros and Cons

Pros

Combines chat, prompt sharing, assistants, and project work in one workspace.
Supports internal documents and file-based question answering for team knowledge use cases.
Lets teams bring their own model keys and work across multiple model providers.
Includes usage analytics and admin controls for team rollout and governance.
Publishes security positioning around GDPR compliance, EU hosting for many models, and ISO/SOC 2 claims.

Cons

Some capabilities are marked as coming soon, including tool integrations, data analyst workflows, actions for assistants, and certain custom retention or content-linking features.
The strongest enterprise controls, such as SSO/SAML and dedicated deployment, are tied to higher-tier plans.

FAQ

What is AICamp?

AICamp is a shared AI workspace for teams. It combines chat, prompts, assistants, knowledge-based workflows, and model access in one place so employees can use approved AI tools without moving between separate products.

Who is AICamp for?

The site positions AICamp for organizations and teams that want a central workspace for AI use. The homepage highlights use across growth, content, operations, product, and development teams.

Does AICamp offer a free trial?

Yes. The pricing page says the Starter plan includes a 14-day free trial with no credit card required.

Does AICamp support single sign-on?

Yes. The pricing page says Business includes SSO/SAML, and the security section references identity-provider support such as Okta or Microsoft Entra for enterprise access control.

Can I use my own model keys with AICamp?

AICamp says users can bring their own API keys for OpenAI, Anthropic, and Gemini models, and it also supports access to models from multiple providers within one interface.