  Recent massive sky surveys in different bandwidths are providing new
opportunities to modern astronomy. The Virtual Observatory (VO) represents the
adequate framework to handle the huge amount of information available and
filter out data according to specific requirements.
  In this work, we applied a selection strategy to find new, uncatalogued hot
subdwarfs making use of VO tools. We used large area catalogues (GALEX, SDSS,
SuperCosmos, 2MASS) to retrieve photometric and astrometric information of
stellar objects. To these objects, we applied colour and proper motion filters,
together with an effective temperature cutoff, aimed at separating hot
subdwarfs from other blue objects such as white dwarfs, cataclysmic variables
or main sequence OB stars. As a result, we obtained 437 new, uncatalogued hot
subdwarf candidates. Based on previous results, we expect our procedure to have
an overall efficiency of at least 80 per cent. Visual inspection of the 68
candidates with SDSS spectrum showed that 65 can be classified as hot
subdwarfs: 5 sdOs, 25 sdOBs and 35 sdBs. This success rate above 95 per cent
proves the robustness and efficiency of our methodology.
  The spectral energy distribution of 45 per cent of the subdwarf candidates
showed infrared excesses, a signature of their probable binary nature. The
stellar companions of the binary systems so detected are expected to be
late-type main sequence stars. A detailed determination of temperatures and
spectral classification of the cool companions will be presented in a
forthcoming work.
