XIQ

Usman Shay spent years at SAP working with some of the top sales leaders in the world. What he saw was that information about clients, prospects, and industry was the key differentiator in winning new business, and that getting hold of it was slow and tedious. That gap became the reason to build XIQ, an engine that uses artificial intelligence to scan the internet and social media, extract the most relevant content from reliable sources, and turn it into actionable insights for sales teams.

The company was founded about two years before the interview and released its first product in Q1 2016. Funding came in two stages: a seed round of about $125,000 from friends and family, followed by roughly $1 million from institutional investors in a priced round. The team stayed under 15 people and was based in Los Altos, California. The product was a SaaS platform that companies could set up in under half an hour. XIQ built its own content corpus by collecting from RSS, Twitter, and search engines, using Apache Solr for indexing and natural language processing and IBM Watson to categorize content, with a native mobile app and a web app for delivery.

By December 2016, XIQ had about 10 corporate customers on annual contracts, plus a free freemium app used by hundreds or possibly thousands of independent users. Early growth came mostly from word of mouth, as existing customers recommended the product to colleagues. XIQ also ran a content funnel: website visitors subscribed to topical digests, more than 3,000 people in total, and the team watched who engaged most. An inside salesperson then reached out to convert the most engaged subscribers, with demos, trials, and expansion into the organization. Average revenue per customer was about $7,000 per month. One example was Genpact, where about 125 leaders received daily competitive news and about 350 sales reps used XIQ for account-based marketing.

The clearest working signal was that no customer had asked for a refund or cancelled an annual plan, though Usman noted it was still early. The company had invested little in paid marketing and relied on salespeople as its customer acquisition cost. Usman declined to share fully weighted CAC or LTV-to-CAC ratios, saying those numbers were private. He did say some large enterprise customers could be worth around a quarter million dollars on average over time.

As of the December 2016 interview, XIQ was at about $70,000 in MRR with roughly 10 paying corporate customers and a team of about 15. Usman's plan was to add channel partners and keep growing through referrals and the content-driven sales funnel.