At its core, all we do at Worksome is AI. By definition. But AI as a concept, and in the minds of all of us, seems to be constantly receding into the future. As soon as we achieve a certain level of AI, e.g. when using Google Maps for navigation to avoid traffic jams, we downgrade it from to AI to - well - just Google Maps. Because of this, and because AI is already all around, we’ve decided not to be one of those startups that throws AI into every sentence. But again - our matching algorithm is, by definition, very much AI.
Machine Learning is the next big step for us. As such, we have the setup for machine learning already, we just need sufficient data to inform the algorithm. And we are getting close to a point where it actually makes sense to fully utilise. Again, just like AI, Machine Learning is a fairly easy claim to make, especially for a tech start-up, but without a massive amount of data it becomes a hollow claim.
Today, Worksome’s matching algorithm is, on average, at least on par with the human alternative. We know this, from being benchmarked directly towards recruiters all the time. We are, on the whole, better in matching, and finding the best candidate for the job. As data comes in, we will be able to continue improving our matching efficiency.