Human-level accurate insights, in real-time.
No more manual tagging or bad topic clustering. Our AI analysis delivers real-time insights with human level accuracy. We achieve this by creating a unique model for every one of our customers, that is trained and optimized with their business context
Trusted by customer-centric enterprises
Core features
All the features you need to improve the quality of your feedback.
Analyze all of your feedback in-real time. No more data bottlenecks.
Our AI model processes all of your customer feedback in minutes, giving you real-time access to actionable insights.
Drill down into your data and find the root cause.
With our custom topic system, you can drill down into every topic until you find the root causes and understand the underlying currents of what’s impacting your key customer metrics.
Quantify your qualitative data with AI metrics
Imagine you could ask a researcher to look through all of your customer support tickets, to find all the support tickets where a customer started out angry and ended up being happy. With AI metrics, this is exactly the type of task you can do. Ask any question, get all the answers.
Filter out the trolls with our proprietary Quality Score
Sometimes people have bad intentions, and provide feedback or leave reviews with the intention of trolling. To solve for this, we’ve developed a Quality Score that allows you to filter out all feedback that’s flagged as toxic and malevolent.
More features
All the features you need to improve the quality of your feedback.
Your data, your model, your insights.
Get an AI that is trained on your business context. Your data isn’t used to train other models and nothing leaves our servers.
Analysis
No black box. Evidence is 1-click away
Get full transparency into how we came to a recommendation or conclusion. Access your core data in one click.
Analysis
Connect your CRM to build customer profiles
Get a deeper understanding of you customers with our customer profile and audience cluster analytics
Analysis
FAQ
How does the AI analysis work?
Our AI feedback analysis works exactly the same way an experienced data analyst would approach analyzing customer feedback. First, it breaks down everything in the feedback into problems and praise, as one piece of feedback might mention multiple problems. Afterwards, it categorizes the feedback into themes based on meaning and not keywords, as many people can complain about the same thing using different keywords. Once the feedback is categorized, you can see all the biggest pain points and praise you’re receiving. Each category comes with an executive summary, quotes, recommendations, a timeline, and the ability to filter and drill down into a problem area to learn more.
How good is the quality of the AI analysis?
You can expect human-level accuracy from our AI analysis. We built and trained our own AI models, and our AI engineers will work closely with you if we need to apply any fine-tuning. We have full control and flexibility to tailor the AI to your specific needs. Rest assured that the quality will be great.
Can I use my own categories?
Yes, you probably already have a list of categories or taxonomy you use to categorize your customer feedback. With our AI analysis, you can use your own categories and, furthermore, allow the AI to create new categories if some feedback falls outside the categories you have. You can also give our AI autonomy to create all the categories based on the feedback. But don’t worry—no matter if you prefer to use your own, our AI’s, or a combination of both, we will make sure our AI analysis is aligned with the way you prefer to categorize your feedback.
Can I enrich the analysis with CRM data?
Yes, we allow you to integrate with your CRM and enrich all your feedback with CRM data such as company, revenue, geography and much more. We can tie CRM data to customer feedback with a unique identifier such as an email address or similar information. That means that when we analyze a support ticket, we identify the user in the ticket in your CRM data and enrich the ticket with relevant information such as customer, revenue, geography and more. Once we enrich the analysis with CRM data you can filter and segment the feedback by the CRM data. For example, you can filter the biggest problems from support by company size or/and geography.
Interested in hearing more?
Book in a call with our team, and we'll answer all of your questions