AI revenue agents for commerce that autonomously drive growth
An AI agent with its own cloud and wallet
Stage
Not given
Not given
Founded
2023
Not given
Based in
US
US
Pricing model
Not given
Not given
Pricing
Not given
Free: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
Key features
Greet AI for new customer acquisition with 30-50% uplift
ReBeat AI for repeat customer revenue increase of 2-4x
Analyzes 500+ variables in real-time for purchase intent prediction
Live in 15 minutes with zero setup required
Integrates with Shopify, Mailchimp, Klaviyo and 15+ platforms
Performance marketing with automated RoAS optimization
Zero-party and first-party data focused acquisition
Subscription revenue acceleration
Real files, real commands, web access, and browser beside the chat
Memory written to disk as plain text you can edit and delete
Auto mode with safe judgment on your own model
Delegate work to helper agents sharing a task list
Chat apps: Telegram, Discord and Slack integration
Support for MCP servers, plugins and IDE integration
Cloud tasks that keep running after you close the app
Services that stay online with scheduler, webhook and watcher
Web apps with their own live link at letronna.si
What makes it different
Generates incremental revenue without increasing media budget
Autonomously grows revenue across entire customer journey
Integrates seamlessly in 15 minutes with no heavy lift
Already accounts for 10% of DTC revenue for brands
Privacy-first approach using only first-party data
Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
Starts in 7.65 ms with 84% on Harness-Bench
Plain text memory files you can edit, not a black box
Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
Pay only for hosted models and cloud compute, not per seat