Mimasa AI vs Search2o

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 Search2o
Detail	Mimasa AI	Search2o
What it does	Enterprise agentic automation platform that unifies data, reasons with AI agents, and executes workflows across 180+ systems	A platform to build, run, and use AI microagents through search
Stage	Not given	MVP
Founded	Not given	Not given
Based in	IN	US
Pricing model	Not given	Free trial
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	The agent server is free and source available with no license fee. Search2o Cloud is free during the beta period. Production pricing will include a platform fee, developer fee, storage fee, and usage fee with no per-user charges. Paid service planned for January 2027.
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	Built-in agent discovery and multi-agent conversations Agent framework to define and publish agents Encrypted conversations and memories by default Multi-user access with four roles plus service accounts Human-in-the-loop controls for critical actions Stateless horizontally scalable architecture Environment profiles for dev and prod Source available server and UI
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	Search that retrieves and runs AI workflows instead of matching documents Agents that combine deterministic workflows with LLM-driven reasoning Hybrid cloud architecture requiring only stateless servers in your environment No per-user licensing, pay only for developers, storage and usage Enterprise-grade reliability and security standards
Community votes	0	0
DR (Domain Rating by Ahrefs)	27 −1 (down) since last check	2 −1 (down) since last check
Trust Flow (Majestic)	20	0
Citation Flow (Majestic)	20	24
Referring domains (Majestic)	70	12

5 details filled in for both companies.

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