Jev Model vs Ottermind

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

Jev Model compared with Ottermind
Detail	Jev Model	Ottermind
What it does	Structured AI decisions with probabilities for developers	AI agent workspace that turns ideas into finished, editable work
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	SG
Pricing model	Paid	Freemium
Pricing	Starter: $9.9 with 100,000 credits, no expiry; Pro: $99 with 1,000,000 credits, no expiry; Enterprise: $999 with 11,000,000 credits. One-time plans do not auto-renew; credits remain available after purchase.	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	Typed decision output with Choice, Score, and Noul question types Probability and confidence results on every answer Online playground for testing with unlimited runs REST API and SDK integration Multiple concurrent requests Team workspaces and collaboration Up to 8 typed questions per request Fast decision latency around 120ms Agent Skill for coding agents and LLM workflows Support for English and Simplified Chinese	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	Structured output with defined answer space Probability-backed decisions code can use directly Multiple questions from one state in parallel Developer control over business logic and actions Designed to integrate into existing systems without replacement	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)	13 +1 (up) since last check	32 −1 (down) since last check
Trust Flow (Majestic)	0	9
Citation Flow (Majestic)	23	40
Referring domains (Majestic)	59	239

5 details filled in for both companies.

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