Wadiz said on Thursday it launched Maker Intelligence, which diagnoses project performance daily and suggests necessary actions first. Makers can carry out the suggested actions immediately, then check updated results and even the projected funding amount.

Wadiz introduced Maker Home and its AI agent WAi in a service overhaul in April. The two features provide users with metric checks and reviews of interactive operating strategies. Maker Intelligence goes a step further by analyzing project status on its own and proposing actions, the company said.

The diagnosis is based on data from similar successful projects. It analyzes payment conversion, advertising efficiency, the competitiveness of the story and rewards, and community activity to find areas for improvement and growth opportunities. It presents the results as an overall rating and a projected final funding amount.

The diagnosis results lead to a “what to do now” list. Actions such as sending messages to applicants who set payment alerts but have not paid, posting updates, and responding to unanswered inquiries are presented in order of priority. It also provides the rationale and expected effect of each action and links directly to the relevant menu. It is designed to reduce makers' decision time and help them focus on execution.

After taking action, makers can check changes in performance and projected funding amounts. The report refreshes automatically each morning, and users can also receive a diagnosis reflecting the latest data by pressing “diagnose again.” For projects with strong performance, it presents additional target amounts and achievement strategies. Access is via Maker Home on PC.

Wadiz plans to accumulate makers' execution data to improve the accuracy of its diagnoses and recommendations. It also plans to strengthen a virtuous cycle structure in which execution leads to the next stage of growth.

Heo Ji-eun (허지은), Wadiz COO, said Maker Intelligence is a system that first suggests necessary actions and helps makers check how performance changes after execution. She said the platform will work with makers so they can deliver results faster and more efficiently and achieve success that exceeds expectations, based on data accumulated at Wadiz and AI.