Piper the AI SDR by Qualified vs. Rasa

Qualified is adaptable in routing and informs designated visitors and agents as soon as they arrive at your site.
Qualified is great for requesting notifications via Slack, Microsoft Teams, Qualified Mobile, or email.
Qualified enables pop-up chat to improve channeling and meet VIP buyers instantly, right on our website.
Qualified permits are broadcast live and segments for everyone to see on our website, allowing our agents to easily prioritize VIPs. Qualified and perfect for categorizing visitors based on criteria like target accounts, company size, or industry.

Incentivized

I have been using the platform for over 3 years and I have noticed a very good evolution, in an attempt to reinvent themselves. The support team is amazing, always available to work out with us in achieving the best results. About the technology, the algorithms available in the platform suits most of the cases. Being language agnostic is a very positive point for us, because some big tech platforms have little support for PT-PT language.

Incentivized

• Good insight into what product the prospect is interested in
• Engage the prospect when they are at the researching phase and form a human connection
• Know when prospects that you are actively targeting are on the website and use that in messaging

Incentivized

• Rasa team has Top notch AI knowledge
• Greate customer support, by listening towards the clients needs.
• And building future proof solutions around client Business Requirements within dazzling timeframes

Incentivized

• I wish Qualified would be able to filter good/bad contacts on the site.
• I wish Qualified filtered out our employees on the site.
• Qualified is organized well and user friendly, there isn't much to complain about!

Incentivized

• Rasa CALM flows and Rasa domain could be made fully independent of the Rasa training process and dynamically retrievable from e.g. a graph DB. This would make the chatbot more flexible.
• Prompt templates, or at least paths could be referenced in Rasa config. Different policies in the Rasa config could then be configured without code change to use different prompt templates
• LLM configuration should rather be part of the endpoints, than model configuration.
• Rasa Studio could support all the functionality of Rasa Pro.

Incentivized

With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.

Incentivized

Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented

Incentivized

We chose Qualified over their competitors because of our interactions with their team and the product. Their team made it feel like this was a partnership and that we weren't just some other customer. Implementation was fast and the tool is very user-friendly. Their customer support is next level and we really appreciate that. All in all, we love their implementation time and great service

Incentivized

Glean - proprietary semantic search algorithms, no backend actions integration IBM Watsonx - complicated dialogue builder, poor separation of no-code and pro-code interfaces ELMOS (agent based) - all logic in code, no dialogue logic in no-code interface possible Rasa - transparent and simple sharing of objects between no-code and pro-code interfaces. Transparent LLM usage and restrictions. Simple backend integration via Rasa SDK

Incentivized

• The investment done on this tool is very well returned with much expected results.
• Because of less human intervention, lots of work is done by chatbox with quick outputs.
• Using the tool of websites helped to gain more customers or followers.

• Reduced Human Connected Calls Per active User
• Improved Calls disposed by Voice Agent
• Reduced call wait times

Incentivized