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Orgn

The confidential agentic stack for defense, finance, and regulated teams

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A platform providing confidential AI infrastructure including a private LLM gateway, IDE, agents, and attestation for defense, finance, and regulated teams to

About Orgn

Screenshot of the Orgn homepage
The Orgn homepage

Orgn is a confidential agentic stack built for teams handling sensitive code and classified work. It provides multiple components: a confidential AI IDE (CDE) for secure coding assistance, a private LLM gateway (Gateway) offering access to hundreds of models through a governed interface, agent command and control capabilities, and attestation with audit trails for verification. All workloads run through confidential computing patterns including trusted execution environments, confidential GPU infrastructure, encrypted sandboxes, and strict policy controls. The platform is designed so code, prompts, and task context stay inside isolated, hardware-protected environments and are never used for model training. Orgn supports private, restricted, and air-gapped deployments for teams with classified or compliance-specific requirements.

  • llm gateway
  • confidential computing
  • ai ide
  • attestation
  • regulated teams
  • sandbox
  • defense

Features worth knowing

  • Confidential AI IDE (CDE) for secure coding assistance with protected repositories and terminals
  • Confidential LLM Gateway with access to hundreds of models through governed interface
  • Hardware-protected sandboxed environments for code and agent execution
  • Cryptographic attestation and audit trails for workload verification
  • Agents SDK for private agent execution with controlled tool access
  • Support for private, restricted, and air-gapped deployments
  • Trusted Execution Environment (TEE) models on sovereign infrastructure
  • SSO and RBAC for enterprise access control
  • Blackbit autonomous security agent for agentic cyber tasks

Pricing

Pricing model: Freemium

Pay as you go: from $20 prepaid credits, provider cost plus 10% markup, $25 increments. Team: $1,200/seat/year (5-seat minimum). Enterprise Sovereign: $2,400/seat/year. Sovereign Government: custom pricing. Blackbit add-on: $4,999/named operator/month (2-operator minimum).

See Orgn's full pricing (new browser tab)

Orgn metrics

Scan results for orgn.com from Ahrefs (Domain Rating) and Majestic (links); arrows mark the change since the last scan.
MetricValue
Domain Rating28 no change since last check
Trust Flow19 no change since last check
Citation Flow32 no change since last check
Referring domains300 no change since last check
External backlinks726 no change since last check

Ahrefs Domain Rating scanned 26 Oct 2026, updated 20 Oct 2026. Main topic: Computers/Programming/Languages (18). Majestic scanned 20 Oct 2026, updated 20 Oct 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Orgn domain facts

Reveal the domain facts
From the registry's public RDAP record, checked 26 Oct 2026, 10:28 UTC.
Domain age23 years
Registered
Expires
RegistrarNameCheap, Inc.
DNSSECNot signed

More about orgn.com's registration

FAQ

Does Orgn see or store my code?
No. Orgn is designed so code, prompts, and task context stay inside isolated, hardware-protected environments. Your code is never used to train any model.
What makes the platform confidential?
Workloads run through confidential computing patterns such as trusted execution environments, confidential GPU infrastructure, encrypted sandboxes, attestation, and strict policy controls.
Can Orgn run in private or air-gapped environments?
Yes. Enterprise deployments can support private, restricted, and air-gapped environments for teams with classified, sovereign, or compliance-specific requirements.
Can we prove where workloads ran?
Yes. Scanner provides attestation and audit trails across inference, agents, sandboxed compute, and gateway workflows so teams can verify execution and maintain evidence.
What is Gateway?
Gateway is ORGN's confidential AI gateway. It gives teams access to hundreds of models through one governed interface, with routing, observability, and controls for sensitive workloads.

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