The idea behind Nexizo came from a simple question: what if government procurement data could power B2B commerce?
After building BidAssist into India’s largest tender discovery platform, the next step was obvious. We had to go beyond listings. The vision was to give buyers fair pricing and predictability, while helping suppliers find new customers and markets. The only way to achieve this at scale was to lean heavily on AI.
We built AI agents to scan a database of 50M+ tenders and extract 25M+ procurement signals annually. These were then enriched using 20+ data brokers to create 300K+ detailed buyer profiles — complete with contacts, past transactions, product interests, financial standing, and buying readiness.
AI did the heavy lifting: scanning documents daily, pulling out useful signals, classifying information into clear buckets, and packaging them into relevant opportunities for sellers — while also pushing signals into the martech stack to qualify buyers.
The result? A $150M marketplace with 1.5M SMB users, built at half the usual customer acquisition cost for the industry.
To make it work, we had to solve two big problems: messy data and user trust.
This journey from zero to one to ten showed the power of combining clean data, trust, and AI tools.
The impact was clear: 5X sales productivity and lower marketing spend. More importantly, it proved that SMB growth doesn’t have to rely on brute-force marketing — it can be built on trust and intelligence.