An AI workspace shaped around your work.
Bring your team, clients, and trusted collaborators together with frontier AI. Shape agents, knowledge, tools, and permissions around the work, and keep the context and results you need to continue.
Private assistance. Shared knowledge. Governed action.
One workspace. Different ways to work.
Start with the people involved and the outcome you need. Configure the workspace around them, then adapt it as the work develops.
For your team
Give people private AI assistance while building shared organizational knowledge. Coordinate research, document work, and recurring assignments without requiring everyone to work in the same conversation.
For clients and practitioners
Work through an engagement together. Keep its agreed scope, shared decisions, and deliverables in the client's workspace as the relationship develops. An Arc Practitioner can help establish the working method without becoming the permanent keeper of the work.
For ongoing initiatives
Keep returning to a useful body of work. Bring together research, decisions, deliverables, and recurring tasks so the next step builds on what has already been done.
Personal help. Shared understanding. Governed work.
Your private assistant
An assistant with context about your work, helping you investigate, prepare, and create. Your private conversations stay separate from the material you choose to publish for others.
The Thinktank
Turn selected contributions into attributed organizational knowledge. Share developing ideas and established findings so others can build on them without opening your private conversations.
Your configured agents
Describe the work in plain language. Configure agents with the relevant instructions, tools, and permissions, assign tasks, and schedule recurring work. People remain responsible for judgment and decisions that require their authority.
The next step should not require starting over.
An engagement should leave behind more than a presentation. A project should leave behind more than a finished file. It should also leave a working environment the team knows how to use.
Keep the shared context, decisions, deliverables, and reusable procedures that make the work understandable and useful. Give the next participant a place to begin, rather than requiring someone else to reconstruct the story.
For a practitioner-led engagement, the workspace is part of what the client retains. The practitioner may stay, step back, or return for the next undertaking. The shared work should not depend on their private memory.
Make progress visible. Measure what matters.
Activity tells you what happened. Agreed outcomes tell you whether it mattered.
Review the work produced, record what was accepted, and compare results with the goals you set: faster turnaround, fewer corrections, or a handoff another person can actually use. The aim is useful work, not simply more AI activity.
Powerful AI, with clear boundaries.
Define who can use agents, which tools they can reach, and when an action needs human review. Keep private conversations separate from shared contributions. Review the activity and evidence available in your deployment without turning private assistance into workplace surveillance.
Choose the deployment and controls appropriate to the information and work involved.
See how governance works →Trust that holds up under audit.
A few promises the platform keeps, so people trust it enough to use it and auditors trust it enough to sign off.
The receipts are produced by Attexa Witness, the evidence component of the trust fabric beneath Agent Anything.
Consent gates every shared memory write
Nothing is ever shared without your explicit approval. Never whole conversations, only the note you approved.
A person is always in the loop
What the organization remembers is what a person chose to share. Assistants draft; people decide.
Every consequential action produces evidence
An independently verifiable receipt of what was done, under whose authority, and against which policy.
The commons is indivisible
Teams get their own workspaces and their own agents. The organization's shared memory is one body, never partitioned by team, role, or audience.
Every AI surface you use. Context you own.
Agent Anything connects into Claude, ChatGPT, and other surfaces. Your people keep working where they work. Everything valuable flows into memory the organization holds. The models themselves become interchangeable. Swap vendors, run several at once, or self-host later, and the accumulated knowledge, assistants, and evidence travel intact. The model can change without replacing the workspace, its access boundaries, or the organizational context around the work. What appreciates with use, and stays yours, is the memory, the evidence archive, and the institutional judgment.
Read our thesis on why we build it this way.
Claude
ChatGPT
Gemini
Grok
OpenCodeA dedicated environment when the work calls for one.
Agent Anything already supports shared knowledge, governed agents, and continuing work. Attexa Arc adds a dedicated environment when a particular body of work needs its own execution boundary, tools, or resources.
You do not need an Arc workspace simply to collaborate with a client or practitioner.
Explore Attexa Arc →
Start with work that matters.
Bring a real undertaking, the people involved, and a result you need. We will show how Agent Anything can be configured around it, and where a practitioner could help.