By using the knowledge of all a company’s salespeople, specially curated proprietary databases and public data to find exactly the right customers, Lian learns to pool the specific domain knowledge of a client and that IP remains in the company when salespeople leave. The absence of human biases enables pooled knowledge to be used more efficiently to predict and identify previously unknown target markets.
Lian’s innovation combines technical and commercial processes and this combination’s data output is used to direct the other in a feedback loop of iterations.
The innovation lies in the creation of an automated reinforcing loop using a machine learning algorithm with mind-mapped features converted to vectors, both positive (+ive) and negative (-ive) as input. The output is actionable B2B prospect information (from a database of curated B2B companies sourced independently).