q&ai automatically builds trackers from documents you already have (marketing one-pagers, release notes, etc.) and tracks them in sales call transcripts for better call analytics.
Analyze sales calls at scale
q&ai automatically builds trackers from documents you already have (marketing one-pagers, release notes, etc.) and tracks them in sales call transcripts for better call analytics.
Hey everyone! I’m Adithya , co-founder of q&ai along with Bhairav and Michael ! When we spoke with sales leaders, the complaint that we heard over and over again was simple: “I don’t have the time to listen to all of these call recordings.” Everyone now supports remote, distributed teams, and sales organizations are doing a great job recording their customer conversations with the hopes of using those recordings for better coaching and sales adjustments. However, leaders are now stuck with thous
Congrats on the launch guys! It looks amazing 🤩
Awesome work guys! Just scheduled a demo!
This is awesome! Do you think you'll ever implement this for customer service, rather than sales? i.e. Make sure customer service reps are correctly representing our policies?
What q&ai is doing seems extensible to other problems companies face too. Analysing customer support calls could be another great space for you all to explore. Great work Adithya, Bhairav, and Mike :)
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.