ORGN (Origin) is a Confidential AI IDE, a confidential development environment for developers and teams who need maximum privacy and security. It runs coding sessions in Intel TDX sandboxes, isolates prompts and code from everyone, including ORGN, and supports TEE LLMs with cryptographic attestation and zero data retention.
Features
- TDX-Isolated Coding Sandboxes: All coding sessions run in secure TDX sandboxes by default, enabling safe AI collaboration and shipping with the confidence that no one, not even ORGN, can see your prompts, outputs, or code.
- AI Models Deployed on TEEs: Access hundreds of LLMs with configurable protection levels to power your coding agent. Choose standard zero data retention models or TEE models from our proprietary OLLM AI Gateway for maximum confidentiality.
- Cryptographic Attestation Records: Every inference request to OLLM's TEE models generates attestation records with cryptographic proofs verifying workloads ran in complete isolation, providing verifiable audit trails.
- Ephemeral by Design: TDX sandboxes automatically expire after 7 days of inactivity and are fully torn down, ensuring no data persists beyond the active session.
- Built‑in Project and Task Management: ORGN creates a project by cloning your GitHub repo and running it in an isolated VM, then analyzes the codebase and suggests tasks that are automatically added to its built‑in task system.
- Built-in Feature and PRD ideation: attach product docs or PRDs to the project for context, or use ORGN’s specialized agents to draft new features, refine existing ones, or generate full PRDs. The agent can then turn those documents into actionable tasks and add them to the same task management system.
Use Cases
- Developers and engineering teams in finance, healthcare, government, and defense that need AI for coding without exposing sensitive code or IP to third parties.
- Enterprises and regulated organizations that require stronger isolation and auditability than typical AI coding tools, with TDX sandboxes, zero data retention, and cryptographic attestation.
- Technical startup founders, business owners or developers for whom code is life’s work or core competitive advantage and cannot risk it being seen or used to train AI.
- Privacy‑focused builders who choose ORGN over mainstream AI coding tools because it keeps prompts, outputs, and code confined to confidential sandboxes and never uses them to train AI.
Fazier Deal
Comments
ORGN (Origin) was born from a crossroads: the difficult choice between the productivity gains and speed of AI, and the privacy of your code. To many, a codebase is life’s work, or the seed of the next unicorn startup, so refusing to let someone else’s AI train on it (or someone else’s eyes see it) feels less like a compromise and more like a line in the sand. This was the birth of ORGN. While I am not a developer myself, I was there from day one, shaping the brand and visual identity myself, so I have witnessed the great care and dedication that our technical founder Ahmad and the devs have put into solving one of the main problems of today's AI industry: Privacy. We are currently in early alpha, and would love your input on what you like, dislike, and/or what features you would like to see. Any feedback is welcome and will be taken into consideration as we continue shipping and iterating!
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Comments
ORGN (Origin) was born from a crossroads: the difficult choice between the productivity gains and speed of AI, and the privacy of your code. To many, a codebase is life’s work, or the seed of the next unicorn startup, so refusing to let someone else’s AI train on it (or someone else’s eyes see it) feels less like a compromise and more like a line in the sand. This was the birth of ORGN. While I am not a developer myself, I was there from day one, shaping the brand and visual identity myself, so I have witnessed the great care and dedication that our technical founder Ahmad and the devs have put into solving one of the main problems of today's AI industry: Privacy. We are currently in early alpha, and would love your input on what you like, dislike, and/or what features you would like to see. Any feedback is welcome and will be taken into consideration as we continue shipping and iterating!
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