Mnemom
Cryptographic proof and trust scoring for production AI agents.
About Mnemom
Challenges It Solves
- Inability to cryptographically prove an AI agent's actions and integrity in production.
- Lack of standardized, auditable trust metrics for AI agent behavior and risk.
Proven Results
Key Features
Core capabilities at a glance
Mnemom Trust Score
Bond-rated agent reputation
AAA-CCC ratings for instant agent integrity assessment
Real-time Containment
Automated agent control
Auto pause, kill, or resume agents upon boundary violation
Cryptographic Integrity Certificates
Ed25519-signed proof
Tamper-evident, independently verifiable action logs
Ready to implement Mnemom for your organization?
Real-World Use Cases
See how organizations drive results
Integrations
Seamlessly connect with your tech ecosystem
Anthropic Claude
Monitor integrity, generate trust scores, and apply containment for Claude-based agents.
OpenAI GPT
Provide cryptographic attestations and risk assessment for GPT-powered agent workflows.
Google Gemini
Establish tamper-evident proof chains and monitor behavior for Gemini agents.
Implementation with AiDOOS
Outcome-based delivery with expert support
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists
Implementation Timeline
See how it works for your team
Alternatives & Comparisons
Find the right fit for your needs
| Capability | Mnemom | RubberWay | BENERATOR | LeadHub Software |
|---|---|---|---|---|
| Customization | ||||
| Ease of Use | ||||
| Enterprise Features | ||||
| Pricing | ||||
| Integration Ecosystem | ||||
| Mobile Experience | ||||
| AI & Analytics | ||||
| Quick Setup |
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