Confidential AI IDE
CDE is Orgn's confidential AI IDE. It keeps repositories, prompts, terminals, and execution context inside a protected development boundary while developers use AI assistance for coding tasks.
Orgn
Orgn is a confidential AI platform for defense, finance, government, and regulated teams that need to run agents and coding workflows inside protected environments. It combines a confidential IDE, governed model gateway, agent controls, and attestation, with self-serve and enterprise pricing.
Confidential AI infrastructure for sensitive teams
Orgn is a confidential agentic stack for teams that need to run AI on sensitive code, prompts, and data without exposing that context to unmanaged tools. The platform combines a confidential development environment, a governed model gateway, agent control, and attestation across the workflow.
The product is aimed at defense, finance, government, and other regulated environments. The home page and pricing page describe two buying paths: a pay-as-you-go plan using prepaid credits with itemized usage, and an Enterprise plan with per-seat billing, admin controls, and private or air-gapped deployment options.
Core capabilities
Governed model gateway
Gateway provides access to 250+ LLMs through one governed interface, with routing, policy controls, observability, and usage evidence for sensitive workloads.
Agent orchestration and approvals
Studio coordinates private agents across missions, permissions, tools, approvals, and audit trails, so teams can control high-impact actions before they run.
Workload attestation
Scanner records attestation and audit trails across inference, agents, sandboxes, and gateway workflows, helping teams verify where workloads ran and capture evidence for review.
Hardware-protected sandboxes
Sandboxed execution keeps code and agent actions inside hardware-protected environments, supporting isolated runs for sensitive repositories and untrusted operations.
Common workflows
Secure coding on sensitive repositories
Developers can use CDE to edit, test, and refactor sensitive code while keeping repositories, prompts, terminal activity, and execution context inside the security boundary.
Model selection under governance
Teams can route requests through Gateway when they need access to multiple models under policy controls, with routing based on sensitivity, cost, latency, or confidentiality requirements.
Controlled agent operations
Operators can coordinate private agents in Studio, using permissions and approval checkpoints to control file access, model access, APIs, and other high-impact actions.
Evidence and review workflows
Security and compliance teams can use Scanner to collect attestation and audit evidence for inference, agent execution, sandbox activity, and gateway routing.
Restricted deployment environments
Enterprise teams can evaluate private, restricted, or air-gapped deployments when their environment requires tighter control over where workloads run.
Pros and Cons
Pros
- Keeps code, prompts, and execution context inside hardware-protected environments.
- Offers multiple product layers: CDE, Gateway, Studio, and Scanner.
- Provides transparent usage billing with itemized deductions by task and model on the self-serve plan.
- Supports private and air-gapped deployment paths for enterprise environments.
- Includes attestation and audit trails for verification and review.
Cons
- The public site does not provide a full integrations page, so supported external systems and model connectors are not fully documented here.
- Several capability details are described at a platform level rather than with deep workflow examples, which leaves some implementation questions unanswered from the available pages.
FAQ
Does Orgn see or store my code?
Orgn's confidential AI stack is designed so code, prompts, and task context stay inside isolated, hardware-protected environments. The pricing and home pages say your code is never used to train any model.
What happens when credits run low?
Self-serve plans use prepaid credits. The pricing page says tasks finish before anything pauses, and you get a low-balance alert at $5 remaining with manual or automatic top-ups in $25 increments.
How does the pricing markup work?
Usage is passed through at provider cost plus a transparent 10% markup. The dashboard itemizes deductions by task and model in real time.
What is the difference between Pay as you go and Enterprise?
Pay as you go uses prepaid credits and itemized usage billing. Enterprise uses per-seat billing on agent run hours, with admin controls, team management, support, and private or air-gapped deployment options.
Can Orgn run in private or air-gapped environments?
Yes. The home and contact pages say enterprise deployments can support private, restricted, classified, and air-gapped environments, and the download page mentions classified, air-gapped, or on-prem environments for CDE.
Quick Facts
- Category
- Confidential AI platform
- Primary users
- Defense, finance, government, and regulated engineering teams
- Main products
- CDE, Gateway, Studio, Scanner
- Platform
- macOS and Windows for CDE
- Pricing model
- Pay-as-you-go credits and Enterprise per-seat billing
- Website
- orgn.com
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