The right candidate may already be waiting in your database. Instead of searching manually and maintaining tags, just open a position and Recruitis will suggest candidates from previous selection processes for similar positions. The ranking is based on the real history of your recruitment – on your recruiters' decisions and ratings, not on keywords in CVs. You save time and put to use candidates you've already invested in.
Recruitis takes four inputs from the current position:
It then compares this data with all historical positions in your database and, for each of them, calculates a match score based on how closely the text in the individual fields matches.
It then ranks candidates from these positions according to criteria based on your recruiters' decisions:
There are no hard rules such as "they must reach at least a certain round". A recently rejected candidate generally won't make it into the recommendations unless they are the only option.
You decide how much each criterion affects the ranking. On the left-hand side, there are sliders (0–10) for:
After you click "Use", the ranking is recalculated according to your settings. For example, if you set "Rejection reason" to 0, you'll also see candidates who were rejected for negative reasons. If you set "Position name" to 10, candidates from positions with the same title will be given priority.
The system doesn't change, optimize or learn the weights from historical data on its own. The only exceptions are predefined rules – for example, for a position marked as fully remote, location automatically carries less weight.
Each position has an "Internal sourcing" tab. When you open it, a ranked list of candidates is displayed.
The feature doesn't reject anyone, doesn't contact anyone automatically and doesn't move anyone into the selection process. You always decide which candidates you'll continue working with.
Internal sourcing ranks candidates according to predefined rules and weights set by the user and doesn't use machine learning. According to a legal assessment, it therefore doesn't meet the definition of an AI system under Article 3(1) of Regulation (EU) 2024/1689 (AI Act). The feature can be turned off at the account level.
Let ATS Recruitis automatically download your candidates from the Nelisa portal.
Combining the answers of a historically depersonalized candidate with a new answer.
The talent database does not have to be used only for searching contacts for candidates.