Copilot suggests code. Ona multiplies engineering capacity.
Copilot is an AI assistant that suggests code to individual developers. Ona is an AI engineering platform that runs autonomous agents at fleet scale, inside your VPC.
See what Copilot can't do
15-minute walkthrough. No slide deck.
An assistant helps you code. A platform does the work.
Copilot suggests the next line. Ona runs the next hundred tasks.
Autonomous execution
Ona agents plan, code, test, and open PRs. They work end-to-end in isolated environments while developers focus on high-value work.
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. Route model calls through your approved providers.
Assistant vs platform
Copilot suggests code to individual developers. Ona runs autonomous agents that do the work.
Ona
CopilotAutonomous AI software engineers that plan, code, test, and open PRs. Agents work independently in isolated environments.
AI-powered code assistant. Suggests completions, answers questions, and generates snippets inline. Human drives every action.
Inside your VPC. Code, inference, and orchestration never leave your perimeter.
Cloud-only SaaS. Code context is sent to GitHub/Microsoft servers for inference. No self-hosted option.
Spin up hundreds of agents on independent EC2s. Each works on a separate task, repo, or migration step simultaneously.
One suggestion at a time, one developer at a time. The coding agent (preview) runs sequentially in GitHub Actions.
Agents work end-to-end: read the codebase, make changes, run tests, open PRs. Humans review the output.
Human-in-the-loop by design. Every suggestion requires manual acceptance. Agent mode is early and limited to scoped tasks.
Full repository access per environment. Agents can read, build, and test across the entire codebase.
Limited context window. Copilot sees the current file, open tabs, and heuristically selected snippets. Not the full repo.
Bring any model. Swap providers without re-architecting. You choose what runs in your VPC.
Locked to GitHub/Microsoft model stack. "Bring your own key" is in preview but still routes through GitHub infrastructure.
Command deny lists and kernel-level security guarantees. Every agent runs in an isolated VM.
Cloud-only SaaS. Code context sent to GitHub/Microsoft servers. No self-hosted option for inference.
Org guardrails, command deny lists, policy controls. Platform team owns the boundary.
Admin controls for enabling/disabling features. No command-level deny lists or org-wide policy enforcement for agent actions.
Full experience from any device: review code, monitor agents, approve PRs.
IDE extension only. No standalone mobile or browser experience for agent workflows.
Compute-based pricing tied to your cloud bill. Predictable.
$19-39/user/month per seat. Does not include autonomous execution capacity.
Enterprises that need fleet-scale automation, org-wide migrations, and autonomous agents inside their security boundary.
Individual developers and small teams that want inline AI assistance in their existing IDE workflow.
What it does
Autonomous AI software engineers that plan, code, test, and open PRs. Agents work independently in isolated environments.
AI-powered code assistant. Suggests completions, answers questions, and generates snippets inline. Human drives every action.
Where it runs
Inside your VPC. Code, inference, and orchestration never leave your perimeter.
Cloud-only SaaS. Code context is sent to GitHub/Microsoft servers for inference. No self-hosted option.
Parallelism
Spin up hundreds of agents on independent EC2s. Each works on a separate task, repo, or migration step simultaneously.
One suggestion at a time, one developer at a time. The coding agent (preview) runs sequentially in GitHub Actions.
Autonomy
Agents work end-to-end: read the codebase, make changes, run tests, open PRs. Humans review the output.
Human-in-the-loop by design. Every suggestion requires manual acceptance. Agent mode is early and limited to scoped tasks.
Context
Full repository access per environment. Agents can read, build, and test across the entire codebase.
Limited context window. Copilot sees the current file, open tabs, and heuristically selected snippets. Not the full repo.
Model flexibility
Bring any model. Swap providers without re-architecting. You choose what runs in your VPC.
Locked to GitHub/Microsoft model stack. "Bring your own key" is in preview but still routes through GitHub infrastructure.
Security
Command deny lists and kernel-level security guarantees. Every agent runs in an isolated VM.
Cloud-only SaaS. Code context sent to GitHub/Microsoft servers. No self-hosted option for inference.
Governance
Org guardrails, command deny lists, policy controls. Platform team owns the boundary.
Admin controls for enabling/disabling features. No command-level deny lists or org-wide policy enforcement for agent actions.
Mobile access
Full experience from any device: review code, monitor agents, approve PRs.
IDE extension only. No standalone mobile or browser experience for agent workflows.
Cost model
Compute-based pricing tied to your cloud bill. Predictable.
$19-39/user/month per seat. Does not include autonomous execution capacity.
Best for
Enterprises that need fleet-scale automation, org-wide migrations, and autonomous agents inside their security boundary.
Individual developers and small teams that want inline AI assistance in their existing IDE workflow.
When making developers faster isn't enough
Copilot accelerates individual developers. These problems need organizational-scale execution.
CVE remediation at scale
Org-wide migrations
Platform standardization
Regulated industry compliance
Copilot suggests code. Ona does the work.
An AI assistant makes one developer faster. An AI engineering platform multiplies the capacity of the entire organization.
AI assistant in your IDE. Suggests code, answers questions, generates snippets. One developer at a time. Cloud-only.
AI engineering platform. Autonomous agents that plan, code, test, and ship across hundreds of repos in parallel. Inside your VPC. Full audit trail.
Common questions
Copilot suggests code. Ona does the work.
See Ona run a migration, CVE workflow, or code review end-to-end inside your VPC.