Mimasa AI vs withHuman
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Mimasa AI compared with withHuman
| Detail | 
Mimasa AI | 
withHuman |
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| What it does | Enterprise agentic automation platform that unifies data, reasons with AI agents, and executes workflows across 180+ systems
| The approval layer for AI agents
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | IN
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Forever Free: $0/forever (5 credits/day, 1 user, 100MB storage). Standard: $29/month (120 credits/month, up to 5 users). Growth: $99/month (400 credits/month, up to 10 users). Business: $199/month (850 credits/month, up to 25 users). Enterprise: $499/month (2,100 credits/month, up to 100 users). Cus
| Open Source: free and self-hosted. Free: $0/month hosted plan with up to 5 members. Scale: $20 per user per month. Enterprise: Custom annual contract.
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| Key features | - Connect 180+ enterprise systems including ERPs, CRMs, databases, APIs and files
- Natural language data transformation and analysis
- No-code workflow builder for business teams
- AI agents with human-in-the-loop approvals
- Multi-step reasoning across long-running workflows
- Predictive forecasting with statistical models and machine learning
- Interactive dashboards and reports built from natural language
- Full data lineage and audit trails for governance
- On-premise or private cloud deployment options
- Role-based access control with encryption in transit and at rest
| - Tool call interception for all agent frameworks
- Automatic approval rules to prevent fatigue
- AI judge for complex rule evaluation
- Works with LangGraph, CrewAI, Mastra, Claude Agent SDK and more
- Open Agent Approval Protocol for framework independence
- Self-hosted or cloud-hosted deployment options
- Custom permission policies and organization controls
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| What makes it different | - Unified intelligence and execution layer - same system that reconciles data also carries out resulting actions
- Agentic reasoning adapts to exceptions instead of failing on them
- Self-operating workflows that improve as they handle more cases
- Model-agnostic platform supporting multiple LLMs and deployment options
- Deployment inside customer perimeter with data residency controls
| - Framework-agnostic: works with any AI agent through the open Agent Approval Protocol
- No vendor lock-in: open source spec and SDKs let you swap providers without rewriting agents
- Comprehensive audit trail for accountability and compliance
- Meets reviewers where they work with multi-platform notifications
- Policy-based routing to eliminate approval bottlenecks
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 27 ▼ −1 (down) since last check | 30 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 20 | 6 |
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| Citation Flow (Majestic) | 20 | 28 |
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| Referring domains (Majestic) | 70 | 48 |
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5 details filled in for both companies.
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