AI setter for Manychat that qualifies leads and books calls in direct messages
Brain-based AI that learns on your device without retraining, remembers you, and keeps your data private
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
US
Pricing model
Freemium
Not given
Pricing
Free to build and test with no card required. 14-day free trial when going live ($0 today, includes 500 AI replies). After trial: $119/month or $1,190/year per live setter (2 months free with yearly). Includes 1,500 AI replies per month. Add-ons: +500 AI replies for $39/month, +1 team member for $9/
Not given
Key features
Learns offer and brand voice from your sales page, docs and FAQ
Customizable tone, words and emoji for realistic conversations
Direct calendar booking with Cal.com, Calendly or iClosed
Lead qualification based on custom fit rules
Follow-ups including voice notes in your voice
Human takeover anytime with one click
Results dashboard by source and objection
No code, no need to rebuild existing Manychat flows
Learns continuously on your device without retraining
Remembers individual users separately
Runs fully offline on consumer hardware like iPad
Learns without forgetting existing knowledge
Consistent performance over long conversations
Honest about uncertainty
User controls what it learns
Works with existing language models
Corrected facts replace outdated information
Designed for disconnected networks
What makes it different
Purpose-built for Manychat, runs inside existing flows without rebuilding
Learns and speaks in your brand voice, not generic bot language
Includes voice note follow-ups in your own recorded voice
Direct calendar integration books calls without requiring link clicks
Continual learning architecture that learns in place after deployment, unlike frozen models
Brain-modeled design with separate organs for memory, sleep, and decision-making
All learning happens on your device with no data sent to servers
Works where cloud connectivity is unavailable or undesirable
Patent-pending learning method usable with other large language models
ManySetter
Thetatron