Distyl vs digithings
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Distyl compared with digithings
| Detail |
Distyl |
digithings |
| What it does | Architecting the AI-Native Enterprise
| 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 | Contact for pricing
| 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 | - Distillery: Operating system for enterprise AI
- Weave: Autonomous AI system construction
- Context Mesh: Enterprise knowledge structured for AI
- Context Views: Enterprise semantic layer for agents
- Journey: AI voice layer for digital experiences
- Personalization: 1:1 customer engagement at enterprise scale
- Capture: Tacit knowledge capture at scale
- Canary: Self-improvement for AI systems
- Forward-deployed engineers and researchers
- EBITDA impact in 6 months
| - Provider routing with LiteLLM
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| What makes it different | - Delivers production AI systems in weeks or months
- 150M+ end users reached by AI systems
| - 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 |
| DR (Domain Rating by Ahrefs) | 57 ● no change since last check | 5 ▼ −4 (down) since last check |
| Trust Flow (Majestic) | 16 | 0 |
| Citation Flow (Majestic) | 36 | 13 |
| Referring domains (Majestic) | 371 | 1 |
4 details filled in for both companies.
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