Hi Product Hunt, I am Nalin, founder of @Cignara ( - @Y Combinator P26 batch)
Companies lose revenue every time a customer is stuck in IVR, waits too long for help, gets blocked by a dumb chatbot, or receives a generic answer from an agent without the right context. These are not just support problems. A complaint is a retention moment, an inquiry is a sales moment, and a support call is often an upsell moment.
Cignara
@nalin_gupta1 congrats on the launch Nalin. How do you guys prove agent fidelity to policy/compliance rules etc?
Liked your line in the forum thread: "a complaint is a retention moment." Here's what I keep wondering about AI support at scale: once your agents handle thousands of conversations, those transcripts are basically a map of where the product confuses or loses people. Do your enterprise customers actually close that loop, like support insights feeding product decisions, or does it usually die in a dashboard? Curious what you've seen at LG-scale deployments
That's an interesting approach. How does the agent handle a question that falls completely outside its trained policies?
Mailwarm
Which systems do you plug into most often, like Zendesk and Salesforce, and how much custom work is needed per client?
Stripo.email
The challenge isn't building an AI agent anymore — it's making one that can be trusted in enterprise environments. The focus on verifiable and policy-bound actions is very interesting. Congrats on the launch!
GitNexus (Akon Labs)
This is one of the coolest customer support agentic system I have ever seen.
Cignara
Finally! These Fortune 500 companies can start providing incredible customer support 24/7!