| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| AI runs where you own it
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| Stage | Not given
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| Freemium
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| Pricing | Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
| RailCall local runtime: free. RailHub Team: $5 per seat per month. Cloud agents: $5 per trained agent per month. Advanced thinking (overflow): metered against a budget you set, with 500 flows per month included. Storage on hub: $0.25 per GB-month with 5 GB free.
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| Key features | - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
| - Studio visual workflow builder with 1,000+ nodes
- CLI and terminal-first interface
- Ed25519-signed tamper-evident receipts
- Human approval airlock for all actions
- Autonomous agents that run 24/7
- Capacity routing across organization machines
- MCP integration with 33 tools
- Multi-level human approval workflows
- Offline receipt verification
- Company-wide stop button
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| What makes it different | - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
| - Entire local runtime free with MIT license, no login required
- Cryptographically signed receipts verifiable offline
- 80% reduction in AI costs compared to top models
- No execution counters or machine count limits
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| Free plan | Not given
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| Open source | 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) | 8 ▼ −1 (down) since last check | 26 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 3 |
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| Citation Flow (Majestic) | 20 | 13 |
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| Referring domains (Majestic) | 22 | 35 |
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Seclai
RailCall