SMN is building agents that learn from each of your customers: their corrections, their preferences, their way of working. Every customer gets an agent that keeps getting better for them.
Talk to usThe agent gets something wrong, someone fixes it, and next week it makes the exact same mistake.
Customers tell the agent how they want things done. By the next conversation, it has forgotten.
Different customers have different rules, tools and habits, but the agent treats them all the same.
Your team keeps re-explaining context and hand-editing prompts just to keep the agent on track.
Tune the agent for one account and something quietly changes for everyone else.
Your agent learns from each customer's experience and corrections, so a mistake fixed once stays fixed.
Each customer's preferences and ways of working are remembered, so nobody has to repeat themselves.
The more the agent works with a customer, the better it fits how that customer works.
What one customer teaches stays with that customer. Improving one account doesn't change another.
A customer's learning can be reset or removed on its own, without touching anyone else.
Your team spends less time re-explaining context and patching prompts by hand.
SMN is at an early stage, and we're looking for teams running AI agents in production who want to shape it with us.
Founder. Previously at Directeam, Israel.
If your AI agents keep repeating mistakes or forgetting what customers told them, we'd like to hear from you.