Ona vs Devin

Autonomous agents are here. Where does yours run?

Ona runs background agents inside your VPC, in isolated environments with guardrails and audit logs. Scale engineering capacity without turning engineers into the bottleneck.

4xthroughput on repeatable work
92%of PRs co-authored by agents
10-20xfaster migrations
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See it in your VPC

15-minute walkthrough. No slide deck.

15-minute walkthrough. No slide deck.

Autonomous agents ship code. The question is where.

Devin runs the orchestration layer on Cognition's cloud. Ona runs the entire stack inside your VPC.

Isolated environments

Every task runs in a fresh, isolated environment. No long-lived state. If something goes wrong, you throw the environment away.

VPC deployment

Deploy runners inside your cloud account. Code, secrets, and execution stay inside your perimeter. Route model calls through your approved providers.

Audit + guardrails

Full audit logs for human and agent actions. Command deny lists and policy controls so destructive commands never run.

What matters when the CISO is in the room

Devin runs agents on Cognition's cloud. Ona is the enterprise runtime that keeps autonomous work inside your boundary.

Where it runs

Ona

Inside your VPC. Code, inference, and orchestration never leave your perimeter.

Devin

The execution sandbox runs in your VPC. The orchestration layer stays on Cognition's cloud and requires a persistent outbound connection.

Scalability

Ona

Spin up hundreds of parallel agents on independent EC2s. Scale is limited only by your cloud resources.

Devin

Single-agent setup per VPC server. Scaling means provisioning more servers manually.

Isolation

Ona

Ephemeral VM per task. Mistakes are disposable. No shared state between agents.

Devin

Sandboxed Devbox per session, but the agent service needs access to your corporate intranet and internal DNS.

Model flexibility

Ona

Bring any model. Swap providers without re-architecting. You choose what runs in your VPC.

Devin

Proprietary compound AI system. Locked to Cognition's model orchestration.

Vendor lock-in

Ona

You own the infrastructure. Developers keep their IDE. Open DevContainer standard.

Devin

Proprietary IDE, proprietary models, custom fine-tuning. Designed to be sticky.

Security

Ona

Command deny lists and kernel-level security guarantees. Every agent runs in an isolated VM.

Devin

Sandboxed Devbox per session. Orchestration layer requires persistent outbound access to your intranet.

Governance

Ona

Org guardrails, command deny lists, policy controls. Platform team owns the boundary.

Devin

RBAC and Teamspaces. No command-level deny lists or org-wide policy enforcement.

Cost model

Ona

Compute-based pricing tied to your AWS bill. Predictable.

Devin

Agent Compute Units (ACUs) at $2-2.25 each. Cost varies with task complexity and is hard to forecast.

Mobile access

Ona

Full experience from any device: review code, monitor agents, approve PRs.

Devin

Proprietary IDE. No mobile or browser-based access to agent sessions.

Audit trail

Ona

Every human and agent action logged. SIEM export. Full provenance.

Devin

Session logs and PR history. SOC 2 Type II certified.

Best for

Ona

Enterprises that need fleet-scale automation inside their security boundary.

Devin

Teams willing to give a third party persistent access to their intranet for scoped, repeatable tasks.

One agent is a tool. Hundreds of agents is a platform.

These problems need fleet-scale execution inside your security boundary, not a single agent on someone else's cloud.

CVE remediation at scale

The problem: Security wants patches everywhere, now.
Devin limitation: One Devin session handles one task. Scaling means provisioning more servers and burning more ACUs.
With Ona: Run remediation in parallel across hundreds of repos, open PRs, attach evidence. Full audit trail inside your VPC.

Org-wide migrations

The problem: Java 8 to 17. Framework upgrades. CI standardization.
Devin limitation: Devin's VPC deployment is a single-agent setup. Parallelizing means manually scaling infrastructure you don't own.
With Ona: Agents execute repeatable steps fleet-wide on infrastructure you own. Humans review edge cases.

Platform standardization

The problem: Every team has a slightly different setup.
Devin limitation: Devin operates in its own proprietary IDE. It can't enforce consistency across your org's development environments.
With Ona: Standardize via devcontainer.json and prebuilds. Environments are deterministic and reproducible.

Regulated industry compliance

The problem: Code and context cannot leave your network perimeter.
Devin limitation: Devin's orchestration layer runs on Cognition's cloud and requires a persistent outbound connection plus intranet access.
With Ona: The entire stack runs in your VPC. No code, secrets, or context leaves your boundary. Ever.

You want autonomous agents. You need them inside your boundary.

The question isn't whether AI agents can ship code. It's whether the orchestration layer belongs on someone else's cloud.

Devin

Autonomous agent with its own IDE. The orchestration layer runs on Cognition's cloud and requires outbound TLS plus intranet access.

Ona

Autonomous agents in your VPC. Orchestration, inference, and execution all inside your boundary.

The difference

Same autonomous capability. Ona keeps the entire stack, including the orchestration layer, inside your perimeter. No third-party intranet access required.

Common questions

Autonomous agents, inside your boundary. Your infrastructure. Your rules.

See Ona run a migration, CVE workflow, or code review end-to-end inside your VPC.

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