The everyday AI that remembers what you care about, keeps your life organized in Spaces, and never trains on or sells your data.
Stage
Startup
Startup
Founded
2024
2026
Based in
Not given
Not given
Pricing model
Freemium
Freemium
Pricing
Free to start. Plus membership: 60 Stardust each billing month. Premium membership: 180 Stardust each billing month. Unused monthly Stardust resets on renewal; top-ups purchased separately are never erased.
Free plan: $0 with 5 Spaces, visible and editable memory, generous daily message limit. Membership: $10 per month for unlimited Spaces, multiple connected accounts, shared Spaces, and higher limits.
Key features
Birth chart calculation with Swiss Ephemeris sub-arcminute accuracy
Compatibility analysis comparing two full birth charts
Predictive timeline with week-by-week dasha resolution
16 specialised chart divisions (Vargas) for different life domains
Ideal Match engine for relationship compatibility
27 lunar mansions (Nakshatras) interpretation
Multi-language support in 19 languages
Continuing conversation context across sessions
Sade Sati and Saturn return analysis
Classical Jyotish interpretation from traditional texts
Persistent memory that you can see, edit, and delete
Spaces to organize different areas of life
Text from iMessage to complete tasks on the go
Connect Google Calendar, Outlook, and Apple Calendar
Share Spaces with family or partners
Upload and reference documents and images
Create and maintain to-do lists with repeats and sharing
Generate images in chat
Scheduled routines that arrive automatically
What makes it different
Uses sidereal zodiac tracking actual star positions, not seasonal tropical system
Computes full 16-layer chart instead of Sun sign alone
Grounded in 5,000 years of Vedic tradition applied to individual charts
AI conversation format lets you ask follow-up questions and explore deeper
Predictive timelines showing life areas active now and approaching
Data never sold to advertisers or brokers
Built for everyday people, not just professionals
Energy-efficient design using smaller models for simple tasks
Stellr
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