Mimasa AI vs Matill

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 Matill
Detail	Mimasa AI	Matill
What it does	Enterprise agentic automation platform that unifies data, reasons with AI agents, and executes workflows across 180+ systems	Autonomous AI teammates for software teams
Stage	Not given	Not given
Founded	Not given	Not given
Based in	IN	BR
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	US$120 per agent per month, with a 30-day free trial (card required, nothing charged until it ends). Larger teams pay less: the rate drops by $1 for each agent added through the ninth, settling at US$110 per agent from 10 onwards. You bring your own model key and pay the provider directly for tokens
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	AI software engineer agent AI product manager agent AI QA engineer agent AI systems architect agent AI SRE (Nadia Serrano) GitHub, Linear, Slack and Microsoft Teams integration Incident investigation workflow Release verification Granular permissions per agent 30-day free trial with no credit card charge
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	No separate token metering—you bring your own model key and pay the provider directly Agents operate only with permissions you explicitly grant and can revoke All changes require human approval before reaching production One price per agent regardless of specialization Integrates with tools your team already uses
Community votes	0	0
DR (Domain Rating by Ahrefs)	27 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	20	0
Citation Flow (Majestic)	20	25
Referring domains (Majestic)	70	8

5 details filled in for both companies.

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