AICamp

One chat window switches between GPT-5.2, Claude 4, and Gemini without opening separate accounts or tabs. You pick the model per task, so a quick rewrite can go to a cheaper model while a long analysis goes to a stronger one. The gain is fewer logins and one history to search.

You upload PDFs, Word files, spreadsheets, slides, and text, then ask questions against them. The team's documents become something searchable inside the chat, so answers come from your own material instead of general training data. Access follows the workspace, which keeps sensitive files out of the wrong hands.

You build assistants that carry fixed instructions and attached knowledge for a specific role, like ticket triage, code review notes, or brand voice checks. Assistants get shared with people, teams, or the whole organization under viewer or editor roles. That turns a good prompt into a reusable tool instead of a note someone has to remember to paste.

Chats and reference files sit inside projects, so a client or campaign keeps its own context and history. Teammates join a shared project and build on the same thread instead of emailing prompts around. It's the structure that keeps a busy workspace from becoming one long scroll.

People save prompts that work, refine them over time, and share them so the team's best phrasing doesn't restart from zero each week. A search view helps newcomers find the prompt that already solves their task. Over time it becomes the team's own playbook for how it talks to models.

Admins manage users, groups, and roles, and can limit which models a department reaches. On the Business and Enterprise tiers you get SSO and SAML, with SCIM for larger rollouts. AICamp states it's GDPR-compliant, ISO 27001 certified, and SOC 2 Type II audited, and says your data is never used for model training, which is the set of answers security teams ask about first.