Automatically turn your assistant conversations into prioritized product insights — so you know what's breaking, what users are asking for, and where to improve next.
AI assistants handle thousands of conversations every day — inside products, support portals, and enterprise tools.
Inside those conversations are signals about frictionfeature gapsconfusion and unmet needs.
Most teams never see them.
They rely on intuition, scattered feedback, and occasional complaints — instead of the full picture.
Cipher uncovers the insights hidden in your conversations — automatically.
The ecosystem tracks tokens, tickets, and clicks.
But nothing helps product teams understand what users actually tell their assistant.
| Category | What They Measure | What's Missing | Examples |
|---|---|---|---|
| LLM Observability | Latency, tokens, errors, versions | No insight into user friction or product opportunities | Langfuse, Helicone |
| Support & CX Tools | Ticket deflection, agent quality | Don't analyze in-product assistant chats | Intercom, Zendesk, SentiSum |
| Product Analytics | Clicks, funnels, events | No understanding of conversations or failures | Amplitude, Pendo |
| Assistant Builders | Execution flows & responses | No higher-level insight into patterns or problems | Retell, Voiceflow |
Cipher fills the gap.
It's the first platform built to analyze AI-assistant conversations and turn them into actionable product intelligence.
Identify misunderstanding loops, repeated clarifications, wrong intents, and broken flows.
Find patterns in user needs, explicit or implicit, across thousands of conversations.
Spot confusion, frustration spikes, and moments where users abandon the conversation.
Push insights into Jira, Linear, Slack, or webhooks — no manual review needed.
See which improvements matter most, based on real user conversations.
Boost assistant accuracy and reduce failure loops.
Identify recurring issues early and reduce escalations.
Cipher is currently available through our Design Partner Program — ideal for teams deploying or scaling AI assistants. You'll get early access, dedicated onboarding, and influence over our product roadmap.