Factory writes code. Ona writes, tests, and ships it.
Factory.ai gives you agents that propose code changes. Ona gives each agent its own secure cloud environment where it builds, tests, and self-corrects before any human sees the output. Inside your VPC.
See what untested agents can't do
15-minute walkthrough. No slide deck.
An agent without an environment is a suggestion engine.
Factory proposes code changes. Ona executes, tests, and iterates, then hands you a verified PR.
Autonomous execution
Ona agents plan, code, test, and open PRs end-to-end. They work in isolated environments while developers focus on architecture and review.
Fleet-scale parallelism
Run hundreds of agents simultaneously across repos. Migrations, CVE patches, and refactors that would take weeks finish in hours.
Your infrastructure
Deploy inside your VPC. Code, secrets, and execution stay in your perimeter. No embeddings on third-party servers.
Agent platform vs agent toolkit
Factory embeds AI across workflow surfaces. Ona gives agents their own infrastructure to execute autonomously.
Ona
FactoryAutonomous AI software engineers that plan, code, build, test, and open PRs. Each agent works in its own isolated cloud environment with full runtime access.
Suite of specialized "Droids" (Code, Knowledge, Reliability, Product) that generate code changes. Agents propose edits but cannot compile, run tests, or observe runtime behavior.
Every agent gets an ephemeral VM with OS-level isolation. It clones the repo, installs dependencies, builds, runs tests, and self-corrects before any human sees the output.
No built-in execution environment. Agents modify code in your editor, CLI, or CI runner. Testing and verification are left to the developer or existing CI pipelines.
Managed deployment inside your VPC. Ona operates the infrastructure. Your platform team does not run or maintain agent runtimes.
Cloud-managed SaaS by default. Self-hosted option requires your team to provision and operate the agent runtime on your own infrastructure.
Hundreds of agents on independent VMs. Each works on a separate task, repo, or migration step simultaneously. Built-in cross-repo orchestration.
Agents can run in parallel via CI scripting. No built-in orchestration layer for coordinating changes across repositories or sequencing multi-step workflows.
Agents execute code inside sandboxes, observe failures, and iterate autonomously. Mistakes stay in disposable environments. No blast radius.
Agents generate code but cannot run it. Errors surface only when a developer or CI pipeline executes the output. No autonomous feedback loop.
Web UI, VS Code (browser and desktop), JetBrains, terminal. Deep GitHub/GitLab integration. Focused on the coding workflow.
VS Code, JetBrains, Vim, CLI, web app, Slack/Teams bots, Jira/Linear triggers. Covers IDE, chat, and project management surfaces.
Command deny lists and kernel-level security guarantees. Every agent runs in an isolated VM.
Runs on Factory's cloud infrastructure. Self-hosted option available but requires you to operate the runtime.
Org guardrails, command deny lists, network egress controls, RBAC, full audit trails. Managed by Ona inside your VPC.
RBAC, allow/deny lists, secret scanning, and telemetry export. Industry compliance certifications. You manage the governance stack in self-hosted mode.
Full experience from any device: review code, monitor agents, approve PRs.
Workflow surfaces (IDE, Slack, Jira). No dedicated mobile experience for agent management.
Compute-based pricing tied to your cloud bill. No per-token metering, no model multipliers, no overage surprises.
Token-based billing with model-specific multipliers. Caching discounts reduce effective cost but make total spend hard to predict upfront.
Enterprises that need agents to execute, test, and ship code autonomously at fleet scale, inside their own infrastructure, with zero operational burden.
Teams that want AI assistance embedded across many workflow surfaces (IDE, Slack, Jira) and are willing to operate the self-hosted runtime or accept SaaS deployment.
What it does
Autonomous AI software engineers that plan, code, build, test, and open PRs. Each agent works in its own isolated cloud environment with full runtime access.
Suite of specialized "Droids" (Code, Knowledge, Reliability, Product) that generate code changes. Agents propose edits but cannot compile, run tests, or observe runtime behavior.
Execution model
Every agent gets an ephemeral VM with OS-level isolation. It clones the repo, installs dependencies, builds, runs tests, and self-corrects before any human sees the output.
No built-in execution environment. Agents modify code in your editor, CLI, or CI runner. Testing and verification are left to the developer or existing CI pipelines.
Where it runs
Managed deployment inside your VPC. Ona operates the infrastructure. Your platform team does not run or maintain agent runtimes.
Cloud-managed SaaS by default. Self-hosted option requires your team to provision and operate the agent runtime on your own infrastructure.
Parallelism
Hundreds of agents on independent VMs. Each works on a separate task, repo, or migration step simultaneously. Built-in cross-repo orchestration.
Agents can run in parallel via CI scripting. No built-in orchestration layer for coordinating changes across repositories or sequencing multi-step workflows.
Self-correction
Agents execute code inside sandboxes, observe failures, and iterate autonomously. Mistakes stay in disposable environments. No blast radius.
Agents generate code but cannot run it. Errors surface only when a developer or CI pipeline executes the output. No autonomous feedback loop.
Integration breadth
Web UI, VS Code (browser and desktop), JetBrains, terminal. Deep GitHub/GitLab integration. Focused on the coding workflow.
VS Code, JetBrains, Vim, CLI, web app, Slack/Teams bots, Jira/Linear triggers. Covers IDE, chat, and project management surfaces.
Security
Command deny lists and kernel-level security guarantees. Every agent runs in an isolated VM.
Runs on Factory's cloud infrastructure. Self-hosted option available but requires you to operate the runtime.
Governance
Org guardrails, command deny lists, network egress controls, RBAC, full audit trails. Managed by Ona inside your VPC.
RBAC, allow/deny lists, secret scanning, and telemetry export. Industry compliance certifications. You manage the governance stack in self-hosted mode.
Mobile access
Full experience from any device: review code, monitor agents, approve PRs.
Workflow surfaces (IDE, Slack, Jira). No dedicated mobile experience for agent management.
Cost model
Compute-based pricing tied to your cloud bill. No per-token metering, no model multipliers, no overage surprises.
Token-based billing with model-specific multipliers. Caching discounts reduce effective cost but make total spend hard to predict upfront.
Best for
Enterprises that need agents to execute, test, and ship code autonomously at fleet scale, inside their own infrastructure, with zero operational burden.
Teams that want AI assistance embedded across many workflow surfaces (IDE, Slack, Jira) and are willing to operate the self-hosted runtime or accept SaaS deployment.
When code suggestions aren't enough
Factory embeds AI across your workflow. These problems need agents that can execute.
CVE remediation at scale
Org-wide migrations
Agent output you can trust
Zero operational burden
Factory suggests code. Ona does the work.
An agent that proposes changes saves time. An agent that executes, tests, and ships them inside your infrastructure changes how your org operates.
AI agent toolkit that integrates across IDE, Slack, and Jira. Agents propose code but cannot build, test, or self-correct. Self-hosted mode requires your team to operate the runtime.
AI engineering platform. Autonomous agents that plan, code, test, and ship across hundreds of repos in parallel. Managed deployment inside your VPC. Full audit trail.
Common questions
Factory suggests code. Ona does the work.
See Ona run a migration, CVE workflow, or code review end-to-end. Built, tested, and shipped inside your VPC.