Every person deserves their own
professional services
A power-user platform for AI agents. Co-work, but with real range. Build, prototype, automate, and ship, on your models and inside your environment.
Most AI lives on one laptop. It forgets everything between sessions, runs with no oversight, and the moment someone closes the lid, the work stops.
Everyone has a chat window. Almost no one has a system: somewhere agents can actually live, remember, collaborate, and be trusted with real work.
Agent Studio is the agentic workspace for the people who do the work.
Think of the co-work tools you already know, like Copilot or Claude, then make them centralized, generalized, and yours. One place where capable agents build, prototype, research and ship alongside your team, geared for power users but simple enough for everyone.
Power, without the trade-offs.
Democratized & fit-for-purpose
Agents tailored to the work: marketing, finance, legal, engineering. Every team gets the kind of help it actually needs, not a one-size-fits-all chatbot.
Runs centrally, data stays put
Agents live on a server, not on someone’s laptop. Your people aren’t glued to one machine, and your data stays in one governed place.
Your provider, your rules
Pick any model from any vendor. No lock-in means governance and compliance stay on your terms, so you can switch providers without rebuilding.
Sandboxed by default
Every agent runs inside scoped permissions. Nothing executes loose on anyone’s computer, so you can hand teams real power without the risk.
It’s really a project management system, with AI built into every corner.
Underneath the agents is a full operating surface for teams. Task tracking, shared spaces, wikis, whiteboards, project sharing and memory, generalized on purpose, so it bends to fit how your business actually runs.
It learns the work and maintains it on its own.
Agents keep a structured picture of every project: goals broken into tasks, tasks backed by evidence. Memory and spaces mean nothing gets lost, and the system updates itself as the work moves, so what you see is current, not stale.
Agents do the work. You approve it.
Schedule agents to run on a clock or fire on an event, and let them carry the load, then hand the finished work back to you. Completed jobs, questions and conflicts land in one queue for a human to sign off. You review output, not babysit a prompt.
Security audit
An agent sweeps your codebase twice a week, flags new risks, and opens the fixes before anyone asks.
Project health check
Each project gets a morning review with concrete suggestions on what to improve and what’s drifting.
Reports & emails
Triggered when something happens, like a task landing or a deadline nearing, agents draft and send the follow-up.
Everything an agent needs, already inside.
No bolt-ons to wire up first. Every agent ships with the tools to actually get work done: browse the web, pull in and structure information, reason over your data, and produce the finished document at the end.
Built-in browser
Agents navigate the web like a person would.
Web crawling
Pull in and structure information at scale.
Graph database
Relationships and project lifecycle, mapped.
Document generation
Specs, reports, and decks, written for you.
Multi-model
The right model for each job, side by side.
Full tool use
Connect the tools your stack already runs on.
Tailor-made for the way each team works.
We help you build the agents that fit, for any vertical an enterprise runs on.
A loop that makes the whole team smarter.
Set the direction
You describe the outcome. No prompts to engineer, no scripts to write.
Agents do the work
They plan, act, and use real tools inside their sandbox, on your models.
It comes back documented
Work lands as tasks, docs, and memory the whole team gets smarter from.
Questions, answered.
A central platform where AI agents do real work for your team: building, prototyping, researching and shipping. Think co-work like Copilot or Claude, but generalized into a full workspace: tasks, spaces, wikis, memory and automations all in one place, with the agents living on a server rather than someone’s laptop.
A chat window forgets everything between sessions and stops the moment you close the lid. Agent Studio gives agents a home: persistent memory, shared context, and the ability to keep working in the background. The agents service the work and queue results back to you to approve, so you’re reviewing finished output, not babysitting a prompt.
No. The system is designed so agents already hold the context and memory to fill in what you didn’t spell out. When something genuinely is missing or two things conflict, an agent raises the question or flags the conflict for you, instead of guessing or quietly going wrong.
Centrally, inside your environment, not on individual machines. Your people aren’t tied to one computer, work continues whether or not anyone is online, and your data stays in one governed place.
Put your team’s AI to work.
See Agent Studio running on your stack, your models, and your governance rules.