Sedimenta vs Induction

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

Sedimenta compared with Induction
Detail	Sedimenta	Induction
What it does	Self-hosted memory for teams and AI agents with verified knowledge and source tracking	Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Free	Not given
Pricing	Not given	Not given
Key features	Agent proposal and human approval workflow Server-enforced rules for data validation Extensible via open-core SDK modules	Automatically removes redundant and stale context from agent workflows in real time Reduces token usage by 37–67% across agent workloads Maintains baseline pass rates and success rates without code changes Extends context windows for longer-running workflows Zero code changes required for integration Continually monitors and learns agent workloads
What makes it different	Every value carries its source and approval history, unlike general knowledge systems Server-enforced rules prevent both people and agents from creating invalid data	Reduces agent inference costs by 37–67% while maintaining the same success rates Works transparently with zero code changes required Focuses optimization on removing wasted tokens while keeping success rates high Enables teams to take on more ambitious problems with the same resources
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)	Not checked yet no change since last check	12 no change since last check
Trust Flow (Majestic)	0	8
Citation Flow (Majestic)	0	29
Referring domains (Majestic)	0	42

3 details filled in for both companies.

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