Undercontrol

The concept is straightforward: users can take a photo or video, record an audio clip, upload existing photos, videos, or audio files, or perform a live scan or real-time video capture or even just 'ask Meta'. They simply submit the material to the platform, where Meta’s SAM 3.1 helps identify and segment the relevant elements, enabling ForeSight to determine whether the situation falls within one of its core domains: buildings, sites, agriculture, vehicles, or geospatial and geological risks. However, the most interesting part is what happens after the file has been submitted. ForeSight carries out a detailed analysis and provides an explanation of what may be happening, why it may be happening, and what underlying factors could be contributing to the situation. Crucially, the system also takes the user's geographical location into account whenever it can provide meaningful additional context. For example, if local erosion activity or environmental conditions could help explain the appearance of mould on someone's walls, ForeSight can incorporate that information into its assessment. It can also investigate other possible contributing factors, such as the use of a particular building material instead of a more suitable alternative. I was particularly determined to make the platform genuinely practical, rather than simply analytical. That is why ForeSight can also provide safe, step-by-step guidance to help users address minor issues themselves, where appropriate. It does not leave them guessing about what to do next. It supports them throughout the process, helping them understand the situation and make better-informed decisions. Another particularly valuable aspect is its ability to assess how a situation could evolve over time, including whether there is a risk of deterioration and what timeframe may be relevant, where reliable, validated data makes such an assessment possible. This gives users an opportunity to take preventive action and reduce the likelihood of further damage. ForeSight does not invent countdowns or claim to predict an exact failure date when the available evidence cannot support that conclusion. One important aspect I almost forgot to mention is that the platform draws on real-world data and documented events, rather than relying solely on generic AI-generated assumptions. And if a case is so unusual or complex that ForeSight cannot identify a sufficiently reliable and safe way to help, users are not left without options. They can request assistance from a genuine professional with expertise in the precise field relevant to their situation. Furthermore, if the issue is particularly serious, or simply if the user prefers in-person assistance, they can request that a qualified technician or service provider visit their premises.