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Mimasa AI vs Kirat

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 Kirat
DetailMimasa AI logo Mimasa AIKirat logo Kirat
What it doesEnterprise agentic automation platform that unifies data, reasons with AI agents, and executes workflows across 180+ systems A Claude Desktop extension and plugin that convenes a council with ChatGPT and Gemini for independent AI positions, votes, and recorded dissent
StageNot given Not given
FoundedNot given Not given
Based inIN DE
Pricing modelNot given Paid
PricingForever 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 One-time purchase for Claude Desktop and Claude Code. Usage costs paid directly to OpenAI and Google: $0.02–$0.15 per council decision depending on effort tier and input size; image generation $0.05–$0.20 per call.
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
  • Three independent AI positions on questions
  • Majority voting with dissent recorded
  • Budget guard with daily spending limit
  • Integrates ChatGPT, Gemini, and Claude
  • Runs on Claude Desktop (macOS, Windows) and Claude Code
  • Uses own API keys with secure OS storage
  • Nine specialized tools for different decision types
  • Two-round cap and domain tie-break for consensus
  • Failure handling and 345 tests
  • Plain-language interface requiring no developer skills
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
  • Three independent AI models vote together with dissent kept on record, avoiding single-model bias
  • Budget guard prevents runaway bills with daily ceiling and worst-case cost reserving
  • Uses your own API keys stored securely locally, no server or data transmission
  • One-time purchase model with no subscription or ongoing fees
  • Works directly in Claude without developer skills
Community votes00
DR (Domain Rating by Ahrefs)27 −1 (down) since last check12 +10 (up) since last check
Trust Flow (Majestic)201
Citation Flow (Majestic)2021
Referring domains (Majestic)703

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