Case Study: Pariti Doubles Fill Rate with Qdrant

Pariti doubles fill rate to 48% with Qdrant

Pariti, a talent marketplace connecting African startups with top talent, faced a significant challenge managing its rapid growth. Its manual candidate vetting process was slow, causing analysts to spend four minutes per resume and leaving a backlog of 70,000 historical profiles unused. This inefficiency caused its fill rate to plateau at just 20%. To solve this, Pariti turned to the Qdrant vector database to power a new AI-driven search solution.

By implementing Qdrant Cloud, Pariti built a system that instantly returns a ranked shortlist of candidates from its entire database. This solution slashed average vetting time per candidate by 70% and doubled the platform's fill rate from 20% to 48%. The system is highly accurate, with 94% of top-performing candidates identified in the top search results. Qdrant enabled the platform to handle over 100 searches daily with millisecond latency and zero unplanned downtime since launch.

Pariti