Matill vs Ottermind

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Matill compared with Ottermind
Detail	Matill	Ottermind
What it does	Autonomous AI teammates for software teams	AI agent workspace that turns ideas into finished, editable work
Stage	Not given	Not given
Founded	Not given	Not given
Based in	BR	SG
Pricing model	Free trial	Freemium
Pricing	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	Free plan with 50 one-time welcome credits and 1 GB cloud storage. Otter Solo: $16/month (billed yearly, regularly $19/month) with 2,000 credits/month and 5 GB cloud storage. Otter Squad: $39/month (billed yearly, regularly $49/month) with 5,500 credits/month and 50 GB cloud storage. Otter Colony: $
Key features	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	Retains context across projects and files Acts across tools and connected services Adapts to user preferences and patterns Works across web, desktop, and mobile AI PPT generation with GPT Image 2 Editable results after generation Multiple AI model support Data privacy and security controls Cloud computer resources
What makes it different	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	Works for you instead of just chatting—retains memory, orchestrates agents, and carries tasks across steps Keeps project context organized in one workspace rather than scattered across chats Delivers editable, finished results instead of just raw outputs Learns from your work and adapts to your preferences over time Built for resilience with error recovery and approval controls
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	32 −1 (down) since last check
Trust Flow (Majestic)	0	9
Citation Flow (Majestic)	25	40
Referring domains (Majestic)	8	239

6 details filled in for both companies.

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