Mimasa AI vs OpenRig
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 OpenRig
| Detail | 
Mimasa AI | 
OpenRig |
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| What it does | Enterprise agentic automation platform that unifies data, reasons with AI agents, and executes workflows across 180+ systems
| A persistent team of coding agents
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
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| Pricing model | Not given
| Open source
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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
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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
| - Start teams with one command and manage agents across multiple machines
- Mix Claude Code, Codex and Pi agents in one team
- Agents delegate and coordinate work with named task assignments and queue ownership
- Agents message each other directly and read each other's screens
- Restore agent conversations after restart or reboot from snapshots
- Choose different models and reasoning effort per agent
- Bring custom harnesses and integrate with MCP servers and Claude Desktop
- Start Docker Compose services alongside agent teams
- Control message filtering with typing guards and chat broadcasts
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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
| - One conversation interface with a lead agent coordinating specialists behind the scenes
- Mix multiple coding models and harnesses in one managed team
- Run entirely self-hosted on your own machine with no external coordination
- Open source with Apache 2.0 license and extensible harness contracts
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 27 ▼ −1 (down) since last check | 28 ● no change since last check |
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| Trust Flow (Majestic) | 20 | 6 |
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| Citation Flow (Majestic) | 20 | 36 |
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| Referring domains (Majestic) | 70 | 191 |
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3 details filled in for both companies.
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