Forge Orbital vs digithings
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Forge Orbital compared with digithings
| Detail | 
Forge Orbital | 
digithings |
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| What it does | AI accountability that grows into governance
| Open-source AI infrastructure you self-host on your own hardware with your own keys
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
| Open source
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| Pricing | Not given
| Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
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| Key features | - Governance: checks proposed AI actions against defined rules before execution
- Recorded decision records that can be reviewed, replayed and verified later
- Evaluation: compares AI agent performance using representative test cases and expected outcomes
- Optimization: recommends model and cache candidates based on usage, prices and evaluation evidence
- Regress detection identifies changed action paths and quality regressions
- On-premises and private cloud deployment
- Integration with existing AI tools via connectors and wrappers
- No model training on customer data; separate data boundaries from external AI providers
- Cost comparison and optimization across model and cache configurations
| - Provider routing with LiteLLM
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| What makes it different | - Independent accountability: checks run inside your systems, not asking another AI to audit AI
- Your people keep authority: Forge produces decision evidence, your business enforces results
- Recorded decision evidence that auditors and regulators can examine
- Designed for consequential work in regulated industries like financial services
- Not another dashboard: integrates into your workflow without replacing your AI tools
| - Complete ownership: your keys, hardware, data and audit logs stay under your control
- No vendor lock-in: compose individual modules with your existing stack rather than replacing it
- Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history
- Every request traceable: one ID threads through all services with full audit logging
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 5 ▼ −4 (down) since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 7 | 13 |
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| Referring domains (Majestic) | 22 | 1 |
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3 details filled in for both companies.
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