RailCall vs Sedimenta

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

RailCall compared with Sedimenta
Detail	RailCall	Sedimenta
What it does	AI runs where you own it	Self-hosted memory for teams and AI agents with verified knowledge and source tracking
Stage	Not given	MVP
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Free
Pricing	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.	Not given
Key features	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	Agent proposal and human approval workflow Server-enforced rules for data validation Extensible via open-core SDK modules
What makes it different	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	Every value carries its source and approval history, unlike general knowledge systems Server-enforced rules prevent both people and agents from creating invalid data
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	26 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	3	0
Citation Flow (Majestic)	13	0
Referring domains (Majestic)	35	0

4 details filled in for both companies.

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