Monitor AI conversations, detect policy violations, investigate incidents, and give your team the operational insights needed to continuously improve your AI applications.
Hey Product Hunt — I’m Kered, founder of Sentiora 👋🏻
We’re building Sentiora because we think there’s a gap between deploying AI and actually understanding what it’s doing in production.
Once an AI application is live, things can get messy quickly: prompt injection, unsafe requests, policy violations, unexpected behaviour, and conversations that are difficult to investigate after the fact.
Sentiora monitors AI conversations, identifies potential risks, explains why something was flagged, and gives teams a place to investigate and respond.
We’ve spent a lot of time making the experience intentionally simple: connect your AI app, see what’s happening, and get to a useful investigation without digging through a wall of dashboards.
We’re launching in public beta today, and I’d genuinely love your feedback.
In particular, I’d love to hear:
Does the problem we're solving feel clear?
Would you use something like this with an AI application you manage?
What would stop you from connecting production traffic?
Thanks for checking out Sentiora.
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