OpenLLM vs Continuous Intelligence
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
OpenLLM compared with Continuous Intelligence
| Detail | 
OpenLLM | 
Continuous Intelligence |
|---|
| What it does | Local LLM routing layer for Claude Code, Codex, and OpenCode
| Stream-native AI for real-world time series data
|
|---|
| Stage | Startup
| Startup
|
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| Founded | Not given
| 2026
|
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| Based in | US
| GB
|
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| Pricing model | Freemium
| Not given
|
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| Pricing | Free: $0 per month with 50M tokens a month and 2 connected devices. Pro: $30 per month with unlimited tokens and 5 connected devices.
| Not given
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| Key features | - Routes to 293 models from 24 providers
- Automatic fallback across providers
- Included inference on all plans
- End-to-end encrypted key vault
- Shared memory across agents
- OpenAI and Anthropic compatible APIs
- Context.dev integration for web data
- Works with Claude Code, Codex, OpenCode and other tools
- Browser chat with voice transcription
- Cost and usage analytics
| - Anomaly detection and correlation discovery across multiple data streams
- Real-time data stream monitoring to flag potential problems
- Forecasting by understanding interactions between data streams
- Natural language querying with context and assumptions
- ci-proto frontier model with improved forecasting accuracy
|
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| What makes it different | - First request works with no setup or keys required
- All your keys and models accessible through one layer
- Zero-knowledge encryption keeps your keys private
- Users can bring their own AI to power your apps
- No code changes required to route through OpenLLM
| - Stream-native architecture designed specifically for time series data
- Foundation models that eliminate context window limitations
- Continuous-time machine learning approach
|
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 25 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 25 | 12 |
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| Referring domains (Majestic) | 38 | 1 |
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5 details filled in for both companies.
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