When people are victims of crimes like modern slavery, most are never identified by any official organisation. Multiple systems estimation is a way of using the small number of victims who do appear in different databases to estimate how many are being missed. I develop new statistical and machine learning methods using neural networks to make these estimates more accurate. This work helps governments and charities understand the true scale of hidden crimes so they can respond more effectively.