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Mala vs Sierra AI

Vertical Silos vs Horizontal Substrate: Don't Fragment Your Institutional Wisdom

The Core Difference

Sierra builds excellent AI agents for customer experience. But their context lives in Sierra's cloud—siloed from your sales agent, your finance agent, your operations agent. Mala unifies decision memory across ALL agent hives.

Feature Comparison4 features
Feature
Mala
Sierra AI
Context Scope
Cross-Platform
Sierra Cloud Only
Memory Access
All Agents
Sierra Agents Only
Precedent Sharing
Unified Institutional Memory
Siloed CX History
Vendor Lock-in
Agent-Agnostic
Sierra Proprietary
Why Enterprise Teams Choose Mala

Sierra is a System of Agency. Mala is the Horizontal Context Substrate. An enterprise shouldn't have ten different 'Decision Histories' in ten different agent tools. When your CX agent learns that 'ACME Corp gets special pricing', that precedent should be available to your sales agent too. Mala provides unified Institutional Memory across all agent providers—Sierra, Regie, custom-built, whoever. Don't let your institutional wisdom fragment into a dozen silos.

Frequently Asked Questions

Why would I need both Sierra and Mala?

Sierra excels at building CX agents. Mala excels at governing ALL agents. Use Sierra for the agent capability; use Mala for the decision substrate that makes Sierra's decisions auditable and shareable across your enterprise.

Can Sierra agents write to Mala's Decision Graph?

Yes. Mala's Sidecar siphons context from any agent platform. Sierra agent decisions become part of your unified Institutional Memory—without Sierra code changes.

The decision is clear
Start Sealing Your Decisions

Don't just monitor what happened. Prove why it happened with Mala's cryptographic accountability layer.