Any idea why suddenly your churn rate increase lately ?
Only focus on shipping more value to users
A modern, scalable, and secure SaaS Starter Kit
What if, you could really know your users?
Capture metrics automatically
Analytics
Automatically capture prompts metrics (response, response time, entity extraction), and get access to history to improve your prompts in order to revert your churn rate, and increase customer experience.
Analytics will automatically gather metrics (wrong response, right response and so more) to get right insights to rework prompts
GenAI security
Address security in your prompts
Monitor your prompts input and output to address security threat. Detect prompt injection, detect prompt code inject and detect toxicity.
Get started for free. No credit card required.
Fair pricing for all types of businesses
Get started on our free plan and upgrade when you are ready.
Value
Starter
The perfect plan to get started
$9.99
Billed monthly
100000 events
unlimited security monitoring
Details
Per team member
-Up to 1 included in the plan-$4.00for each for the next 5 -$3.00above 5
Popular
Pro
The perfect plan for professionals
$19.99
Billed monthly
10000000 events
unlimited security monitoring
unlimited seat
FAQ
Frequently asked questions about the platform
Do you offer a free trial?
Yes, we offer a 14-day free trial. You can cancel at any time during the trial period and you won't be charged.
Can I cancel my subscription?
You can cancel your subscription at any time. You can do this from your account settings.
Why monitoring your prompt?
Prompt monitoring can help you optimize your app for these issues and enhance its accuracy to deliver an exceptional user experience.
What is prompt injection?
Prompt injection manipulates a large language model (LLM) through crafty inputs, causing unintended actions by the LLM.
Why security is important for your AI app?
Security concerns have emerged regarding the safety and risks associated with LLMs, especially concerning potential misuse by malicious entities. However, the rapid adoption of LLMs by development teams has outpaced the creation of robust security protocols, leaving numerous applications vulnerable to significant risks.