AI attention layer that learns what matters to you and surfaces priorities before they slip
Stage
Startup
MVP
Founded
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Based in
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Pricing model
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Free
Pricing
Free: 500 credits/month, one workspace. Team: $49/month, 3,000 to 80,000 credits/month (fee scales with credits chosen). Enterprise: Custom pricing with volume-discounted usage, customer workspaces via API, pooled credits with spend limits per customer.
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Key features
Agent delivery via app, Slack, Claude, ChatGPT or events
Automatic agent versioning from underperforming runs
Stack review and consulting services
Organization API with webhooks and delivery history
SSO and SAML on Enterprise plan
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
Outcome-driven improvement: runs are scored against your goals and underperforming versions automatically improve
Hands-on engineering: optional stack reviews and agent builds for customers who want expert implementation
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
Levain Labs
Attunefy