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Jugg.ai vs Attunefy

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

Jugg.ai compared with Attunefy
DetailJugg.ai logo Jugg.aiAttunefy logo Attunefy
What it doesStanding AI teams that run whole business functions around the clock AI attention layer that learns what matters to you and surfaces priorities before they slip
StageNot given MVP
FoundedNot given Not given
Based inNZ Not given
Pricing modelFreemium Free
PricingFree: 200 turns, 1 running team, up to 5 agents. Pay as you go: US$20 buys 2,000 turns. Starter: US$29/month with 2 running teams, up to 15 agents, 5,800 agent turns monthly. Business: US$99/month with 5 running teams, up to 50 agents, 19,800 agent turns monthly. Company: US$399/month with 20 runnin Not given
Key features
  • Shadow mode for verification before live operation
  • Learns from documents, help centres and past tickets
  • Hard spending caps per team and job
  • Works with 102+ integrations
  • Kill switch to stop any team
  • Approval workflows for risky actions
  • Team memory and learning across jobs
  • MCP server and REST API for AI agents
  • Encrypted credential storage per connection
  • 26+ ready-made teams for different functions
  • Connects to Gmail, Google Calendar, Slack and Google Meet
  • Shadow mode analyzes 30 days of past communications
  • Resolves people across channels into canonical contacts
  • Captures meeting decisions with reasoning and participants
  • Joins Google Meet as visible participant or captures from device
  • AI assistant Thara searches professional context and answers questions
  • Earns autonomy progressively through repeated approvals
  • Coverage honesty alerts when data sources fall behind
  • Categorizes attention into Needs You, Might Need You and Watching tiers
What makes it different
  • Teams learn from your actual business documents and past work, not generic templates
  • Shadow mode proves capability before autonomous operation
  • You bring your own model key and pay providers directly, no markup
  • Granular security controls: ask-before actions, credentials encryption, kill switches
  • Works with AI agents through MCP or REST API
  • Never claims certainty, only surfaces what may matter based on evidence
  • Learns around the way you work across different roles and professions
  • Maintains decision memory with reasoning and what changed
  • Requires explicit approval before acting on consequential items
  • Operates with read-only access and full user control over what is remembered
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1813
Referring domains (Majestic)51

4 details filled in for both companies.

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