Sold by: GitpodÂ
Deployed on AWS
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Ona is the mission control for software projects and software engineering agents. It provides secure, ephemeral development environments and professional AI agents that collaborate in parallel or autonomously across the software lifecycle. With Ona Guardrails, organizations can scale agents inside their VPC with enterprise-grade security, compliance, and governance.
Overview
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Move beyond your IDE
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Ona Environments
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Ona Guardrails
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Ona Agents
Ona is the mission control for the AI-native software development and engineering agents. By combining autonomous agents with secure, standardized environments, Ona gives enterprises the control, security, and productivity needed to scale AI-native engineering without scaling risk.
Ona Agents extend engineering capacity by handling tasks to completion, securely within isolated environments that connect seamlessly to your enterprise stack.
Ona Environments ensure every developer and agent runs in a clean, on-demand, policy-enforced workspace - eliminating drift, enforcing standards, and protecting sensitive resources.
Across enterprises, successful AI adoption requires solving three critical challenges:
- Scaling adoption without chaos - Rapid, controlled integration of agents without fragmenting workflows or degrading developer experience.
- Security, control, and visibility - Preventing shadow AI from exposing IP, credentials, or sensitive data. Ensuring every AI action is auditable and compliant.
- Seamless enterprise integration - Standardized connections to identity, databases, documentation, and proprietary tools.
Ona directly addresses these challenges through its three building blocks:
- Ona Agents extend engineering capacity by completing complex tasks securely in isolated environments.
- Ona Environments provide clean, on-demand, policy-enforced workspaces for -developers and agents alike - eliminating drift, enforcing standards, and protecting sensitive resources.
- Ona Guardrails delivers the governance, auditability, and deployment flexibility needed to run in the most regulated industries.
Ona supports three modes of software development:
- Manual mode - Developers code directly in their IDEs, with Ona instantly provisioning standardized, policy-compliant environments.
- Assisted mode - Developers remain in control, while Ona Agents provide context-aware completions, fixes, and inline support.
- Autonomous mode - Ona Agents execute tasks end-to-end - refactoring, debugging, migrations - inside secure environments, with developers free to step in, review, or redirect at any time.
Unlike autocomplete tools such as Copilot or local-first agents like Cursor, Ona provides the foundational infrastructure to run agents securely, in parallel, and at enterprise scale.
Highlights
- Work in parallel. - Onboard - Spin up developers or agents with all tools, configs, and secrets from day one. - Collaborate - Assign repetitive tasks to agents so humans can focus on higher-order problem solving. Keep momentum everywhere. - Cross-device continuity - Start tasks on phone or iPad, continue seamlessly on desktop. - Always-ready environments - Stay productive without setup drift or context loss.
- Increase autonomy safely. - Automate - Assign to agents and run long-lived jobs (migrations, tests, refactors) inside ephemeral environments. - Control & secure - Fine-grained IAM, secrets, and audit logs - every action is policy-enforced.
- Professional edit & review. - Code & review - Agents co-author PRs, suggest fixes, and streamline reviews in VS Code Web or your desktop IDE. - Standardize - Enforce org-wide practices (linting, testing, security policies) automatically.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Total Contract Value | Ona Enterprise | $60,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
https://www.ona.com/support support@ona.com Ona provides custom pricing for customers via Private Offer. Please contact sales@ona.com for a better understanding of our pricing model and delivery options. For support inquiries please visit
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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In Agile Lifecycle Management, Application Development, Continuous Integration and Continuous Delivery
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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Cost effectiveness
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AI generated from product descriptions
Cloud Development Environment
Provides on-demand, pre-configured cloud development environments with automatic integration of tools, libraries, and dependencies
Environment Customization
Supports custom configuration and scalability to handle applications of varying sizes without resource constraints
Isolation Architecture
Offers single-tenant installations with isolated environments to ensure code, dependencies, and development infrastructure remain private
VPC Integration
Enables deployment within customer's Virtual Private Cloud for enhanced network security and controlled access to private resources
Automated Environment Setup
Eliminates manual environment configuration by providing pre-configured development environments that can be instantly shared and cloned across teams
Cloud Development Environment
Provides self-hosted cloud development environments consistently provisioned as code
IDE Integration
Supports multiple IDE connections including VS Code Remote, JetBrains Gateway, SSH, and web IDEs like JupyterLab and code-server
Infrastructure Deployment
Runs on Ubuntu 22.04 with pre-installed Docker and TLS public tunnel
Workspace Management
Enables automatic shutdown of idle development workspaces after configurable time periods
Deployment Flexibility
Supports air-gapped on-premise and cloud deployments with centralized infrastructure management
Self-Hosted Runner Infrastructure
Provision self-hosted GitHub Actions runners on Amazon Web Services infrastructure
Network Access Control
Enable build jobs to access private networks, VPCs, Direct Connect, and VPN resources
Build Environment Customization
Modify virtual machine images and pre-install specific tools and libraries for build jobs
Infrastructure as Code Support
Utilize AWS CloudFormation templates for automated runner deployment and management
Virtual Machine Configuration
Select and configure virtual machines with flexible compute resources for different job sizes
Standard contract
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Customer reviews
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16 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Rahul S.
Great platform for faster and reliable codespaces.
Reviewed on Apr 03, 2024
Review provided by G2
What do you like best about the product?
Gitpod provides very fast VMs for using our codespaces on very end machines. It has allmost all of our Git platforms to connect and start coding with them. It has many code editors to launch their high end codespaces on them for our development. It also supports browser version of code editors to directly code through any browser and from anywhere we want.
What do you dislike about the product?
Its charges a bit high for limited time of VMs usage.
What problems is the product solving and how is that benefiting you?
Gitpod has provided very high end VMs for our coding, which helps us launch very resource intensive code editors on any browser. It easily connects with all of our git providers, which helps us keep our code updated and managed from anywhere. It has all the code editors we want to code on, which makes our overall development process very simpler and easier.
Hannes D.
Elevate Your Development Workflow with Gitpod: A Game-Changer for Efficiency and Collaboration
Reviewed on Feb 08, 2024
Review provided by G2
What do you like best about the product?
Gitpod transforms our development workflow, making onboarding a breeze, enabling secure data access for BYOD setups without the need for a VPN, and enforcing best practices. Most importantly, it turbocharges engineer efficiency. Our engineers can be productive and deploy to production from day one and don't lose time with inconsistent environments. As a result, I (platform engineer) don't have to offer as much support, this having more focus time myself.
The initial dedicated SAAS setup, was up and running in no time. And the support we receive troughout the process has been tremendous.
The initial dedicated SAAS setup, was up and running in no time. And the support we receive troughout the process has been tremendous.
What do you dislike about the product?
I am an intelij user and setting up the integration wasn't as easy as it was for VS code.
What problems is the product solving and how is that benefiting you?
- Slow onboarding
- No Data access for BYOD
- Inconsistent development environments
- No Data access for BYOD
- Inconsistent development environments
Robbert H.
Cloud IDEs: fast onboarding and isolated reproducible environments
Reviewed on Feb 08, 2024
Review provided by G2
What do you like best about the product?
* Onboarding people is a matter of granting them access to gitlab repos, as soon as they have that, they can start coding. No need to deal with Windows laptops where you need admin for everything :D
* One unexpected benefit was that the environments are not only reproducible, they're also isolated: you can work on 2 branches at the same time by spinning up 2 gitpod workspaces.
* Prebuilds ease the pain of waiting for workspace boot.
* We could shut down our previous notebook solution thanks to gitpod using a vscode notebook plugin.
* One unexpected benefit was that the environments are not only reproducible, they're also isolated: you can work on 2 branches at the same time by spinning up 2 gitpod workspaces.
* Prebuilds ease the pain of waiting for workspace boot.
* We could shut down our previous notebook solution thanks to gitpod using a vscode notebook plugin.
What do you dislike about the product?
The web IDE is close, but not quite the same as regular desktop experience, for example copy pasting shortcuts don't seem to work and of course there's some workspace boot time.
What problems is the product solving and how is that benefiting you?
Onboarding users, reproducible environments (config in the repo itself). It benefits me personally because as a platform engineer, I have to spend less time configuring users' environments. Just click the gitpod button and code away.
Jelle D.
Easy to set up, happy engineers and excellent support
Reviewed on Feb 07, 2024
Review provided by G2
What do you like best about the product?
Gitpod allows engineers to focus as much of their time as possible on delivering business value. With Gitpod, engineers don't have to worry about installing tools and can start coding right away. Gitpod workspaces boot up in seconds, run in the cloud (right next to your data) and thus also give you the power of cloud machines. Big enterprises typically don't gave very good engineering laptops, which is also solved by using a Cloud IDE such as Gitpod.
As an internal developer platform team, it allows us to onboard new engineers much faster than before. Where in the past people had to go through 20 documentation pages with all the tools that needed to be installed, this can now be provided by the platform team as a script in the .gitpod.yml configuration file.
As an internal developer platform team, it allows us to onboard new engineers much faster than before. Where in the past people had to go through 20 documentation pages with all the tools that needed to be installed, this can now be provided by the platform team as a script in the .gitpod.yml configuration file.
What do you dislike about the product?
In general you see that the market is still quite young for cloud IDEs and that you can't use all the features of Jetbrain products yet. Next to that, plugins on the marketplace sometimes don't work.
What problems is the product solving and how is that benefiting you?
- Slow enterprise laptops
- Secure connectivty to data systems (data doens't have to be on personal laptops anymore)
- Onboarding people instantly without losing time
- Helping to bridge the disconnect between the "experimentation" and "industrialization" phases of the data product lifecycle. People can now run Jupyter notebooks right next to their code in an IDE. This promotes better writing of functions and prevents copy pasting code after the machine learning model experiments are done. In the past, when people finished developed a machine learning model in a notebook, they had to go to the next step, which is industrializing the code and making sure the predictions are run everyday or in real-time. People often had to copy paste code from a notebook to an IDE.
- Secure connectivty to data systems (data doens't have to be on personal laptops anymore)
- Onboarding people instantly without losing time
- Helping to bridge the disconnect between the "experimentation" and "industrialization" phases of the data product lifecycle. People can now run Jupyter notebooks right next to their code in an IDE. This promotes better writing of functions and prevents copy pasting code after the machine learning model experiments are done. In the past, when people finished developed a machine learning model in a notebook, they had to go to the next step, which is industrializing the code and making sure the predictions are run everyday or in real-time. People often had to copy paste code from a notebook to an IDE.
John A.
Avoid, use one of the larger players
Reviewed on Nov 01, 2023
Review provided by G2
What do you like best about the product?
Not much at this point. Devcontainers in general are great
What do you dislike about the product?
When we started using gitpod, we were pretty happy. Throughout 2023 though, we've come to loathe our decision to choose gitpod over larger players like github codespaces or jetbrains space. Just this year, they have:
- Doubled prices (more than doubled for most use cases, in fact)
- Support has gone down the drain. We sent in our most recent tech question 9 days ago, still have not gotten an answer (and I can provide screenshots if needed)
- Dropped their open source. We use their SaaS product, but this leaves a horrible taste in our mouths. For years and years, they got lots of help/support/feedback from the community, precisely because they maintained an open source product that could be used by nonprofits, academics, etc. who might not have the funds to pay for SaaS. In one fell swoop, they dropped all of those folks. Now they're purely profiting off the backs of all that help the got from the community
We wish we had gone with a different company, and as soon as we can get the time to migrate, we will.
- Doubled prices (more than doubled for most use cases, in fact)
- Support has gone down the drain. We sent in our most recent tech question 9 days ago, still have not gotten an answer (and I can provide screenshots if needed)
- Dropped their open source. We use their SaaS product, but this leaves a horrible taste in our mouths. For years and years, they got lots of help/support/feedback from the community, precisely because they maintained an open source product that could be used by nonprofits, academics, etc. who might not have the funds to pay for SaaS. In one fell swoop, they dropped all of those folks. Now they're purely profiting off the backs of all that help the got from the community
We wish we had gone with a different company, and as soon as we can get the time to migrate, we will.
What problems is the product solving and how is that benefiting you?
Cloud dev containers for software development