Your infrastructure
Run agent sandboxes on a provider and in a region you control.
Uno for Enterprise
A software factory
inside your perimeter
Give every agent its own cloud computer, give your team one place to review the work, and keep source, secrets, and runtime on infrastructure you control.
Secrets stay out of context
Agents receive placeholders; values are substituted outside the model.
Isolation per session
One disposable cloud computer per agent session, never shared.
Reviewable by default
Every command, preview, and pull request stays attached to its session.
Agent profiles
Six specialists, provisioned with every workspace.
Uno does not ship one general-purpose assistant. Each workspace comes with six built-in profiles that carry their own instructions, permissions, and output format — so the agent that investigates is not the agent that changes your code, and the agent that verifies a release is not the one that built it.
Chief
SpecialistAnswers questions across repositories and connected sources, then routes the actual deliverable to the right agent instead of doing the work itself.
Unlocks
Onboarding at speed: ask how a service really works, then hand the follow-up straight to a specialist.
Engineering
EngineerImplements assigned tasks, writes regression tests, runs browser verification where it matters, and delivers through your existing pull request workflow.
Unlocks
Parallel delivery: a queue of scoped tickets becomes a set of tested, reviewable pull requests.
Oncall
SpecialistReproduces a bug, establishes a root cause from code and runtime evidence, and publishes a report with an implementation-ready task graph it never executes itself.
Unlocks
Triage without a war room: reproduction, cause, and an approval-ready fix plan attached to the incident.
Security
SpecialistInspects code, dependency manifests, and lockfiles against authoritative advisories, then separates confirmed issues from theoretical exposure using your actual versions and reachable code.
Unlocks
Routine dependency review: advisory noise reduced to the findings that touch code you actually run.
Code Intelligence
SpecialistLooks at maintainability, duplication, type safety, flaky tests, and testing gaps, and proposes improvements to the prompts, rules, and skills your agents share.
Unlocks
Compounding quality: the lessons from last week's sessions become workspace rules every agent inherits.
Product
SpecialistTurns a brief into a specification with success criteria and a dependency-ordered task graph, verifies finished work in a separate session, and coordinates releases.
Unlocks
Traceability from brief to release: a plan humans approve, then QA that never grades its own homework.
Scenarios
What the six profiles unlock together.
Profiles hand work to each other through workspace tasks, and a person stays in the loop at each hand-off. Investigation, implementation, and verification stay separate, which is what makes the throughput reviewable.
01
Incident to approved fix.
Oncall reproduces and publishes a root-cause report. A human approves its task graph, Engineering implements and tests it, and Product verifies the result in a separate session.
02
A backlog that moves in parallel.
Product turns a brief into ordered Engineering tasks. Each task starts its own session on its own cloud computer, so ten agents can work without colliding over branches or ports.
03
Security review as routine.
Security audits dependencies and reachable code, separates confirmed issues from noise, and hands the remediation to Engineering with the evidence still attached.
04
Institutional knowledge that compounds.
Chief answers architecture questions straight from the repositories, and Code Intelligence turns the recurring gaps into rules and skills every future session inherits.
Data and infrastructure
Your code and secrets stay on your side of the line.
Most agent pilots stall at the security review, not at the demo. Uno is built so the parts that matter — where code is checked out, where commands run, and where credentials are resolved — stay under your control.
Agents run where you say they run.
The sandbox runtime is provider-pluggable. Checkouts, builds, tests, and the agent desktop can execute on infrastructure and in regions you nominate, so your source never has to leave your environment to be worked on.
One disposable computer per session.
Every session gets its own VM with its own branch, dependencies, ports, and runtime state. Nothing is shared between sessions, and tearing a sandbox down removes its credentials with it.
Secrets never enter the model's context.
Sensitive workspace values are registered with the runtime's secret service. Agents only ever see opaque placeholders, substituted into outbound requests outside the sandbox and only for hosts you allow-list.
Repository access stays explicit.
Agents reach only the repositories you attach through your own GitHub installation, on the branches you choose. Delivery defaults to a pull request; merging and deploying stay human decisions.
Your models, your terms.
Choose the model provider and model your workspace uses, so inference follows the same procurement and data-processing agreements as the rest of your stack.
Every session is auditable.
Prompts, tool calls, commands, runtime state, published previews, and the resulting pull request stay recorded against the session, with workspace roles deciding who can change what.
Governance
Standards the whole workspace inherits.
Policy lives in the workspace, not in each person's prompt. Change it once and the next session everyone starts already follows it.
01
Rules and skills.
Encode your standards once as workspace rules and shared skills; every agent loads them before it touches a repository.
02
Environment manifests.
Pin the image, packages, and setup commands a sandbox starts from, so a session is reproducible rather than improvised.
03
Your internal tools.
Connect workspace MCP servers so agents can reach your issue tracker, observability, and internal services under the same policy.
Bring the software factory to your org.
Tell us about your repositories, your review process, and where your code is allowed to run. We will walk through deployment options, the six agent profiles, and what a pilot looks like on your infrastructure.