Nucleus
AI Search Across Sales Calls for Product Marketing teams
Nucleus is building AI search across sales calls for Product Marketing teams so they can figure out what to build and pitch at the speed of thought. Think of it as Perplexity or ChatGPT over client calls and CRM data. Product marketing teams spend hours listening to or doing keyword searches over sales calls to inform go to market strategy. With Nucleus, they can directly pose questions such as “Where are we losing deals and why?”, “What are customers saying about competition?”, “Show me testimonials I can use.” “What features and product bugs are customers reporting?”
Active Founders
Akash Gupta
After graduating as an Engineer, I worked in trading and research at RBC Capital Markets. In my free time, I enjoy drinking coffee at SF's amazing cafes and playing Basketball and binge watching brain dead TV like Love is Blind (please don't judge :p). I love making new friends and would love to meet you over coffee or co-work.
Anirudh Gubba
I was a founder of an AR navigation and experiences startup out of college (Georgia Tech) in 2018 and have been in love with startups ever since. After 2018, I worked at Amazon for a few years building fraud / risk detection for Amazon's APIs and started Nucleus with my co-founders mid 2022.
Nikhil Kulkarni
I discovered startups when I interned at a health-tech startup during college and never turned back. After graduating from Georgia Tech, I worked as a software engineer at Snapchat and founded Spotlight, an augmented reality navigation app.
Company Launches
tl;dr: Product marketing teams spend hours listening to sales calls or using archaic keyword searches that often lead to false positives. We are building an LLM-powered search engine so Product Marketing teams can unlock the gold that exists in hundreds or thousands of sales calls. Nucleus automatically indexes and buckets hundreds of attributes per B2B client, such as objections, feature requests, and competitor mentions, to power your insights.
Hi everyone, we’re Akash, Nikhil, and Anirudh - the team behind Nucleus.
🧨 The problem - hours spent listening to calls
Product marketing teams spend hours listening to sales call recordings or painfully searching through transcripts by keywords to inform their sales pitch, marketing campaigns, upsells/cross-sells, and product roadmap.
Take our client Jacob as an example. Jacob is a Product Marketing Manager who is responsible for positioning his product against competitors. He has to sit through call recordings to understand how prospects perceive competitors and how his company’s pitch is resonating with clients. He even hired a sales enablement analyst recently to organize calls and deliver insights to him.
🎉 The solution - ask Nucleus
Nucleus empowers PMMs with Revenue Reasoning and Revenue Observability to convert thousands of sales calls into actionable insights.
With Nucleus Revenue Reasoning, product marketing teams can ask Nucleus a question in plain English like “Show me stage 1 prospects that were previously using Zoominfo for prospecting and what are their limitations with it?”. Nucleus will answer the question directly with LLM reasoning, along with supporting evidence from client calls.
Rather than relying on just keywords that often lead to false positives, with Nucleus Revenue Observability, Jacob can set up LLM-powered smart trackers that ping him in real-time when something he cares about happens in a call, such as when a prospect describes how they perceive a competitor. Nucleus’s LLMs go beyond archaic and often unfruitful keyword matching and instead reason over entire calls to deliver insights.
👋 Asks
Follow our journey on Twitter & LinkedIn.
- If you are a B2B company that does more than 30 calls a week, talk to us to see if we can be of help.
- Share this post with your Product Marketing friends at B2B companies.
Thank You 🙏