Hudson Data, the Applied Data Science company, today announced Model Factory, a custom Machine Learning model building service designed to address a company's most urgent data science needs. Hudson Data has harnessed its many years of model building expertise, along with its many time-tested rules engines, to create a service that develops and deploys advanced ensemble ML models quickly. "Eliminating time-consuming, unproductive model guesswork is the key benefit of Model Factory," said Hudson Data CEO, Menish Gupta. "We can deploy custom, auditable, ML models within 60 days from inception to production."
Companies looking to extract more value from their data are typically faced with added infrastructure and personnel costs. Model Factory can reduce or eliminate expensive staff training and IT investments by developing, configuring, and installing sophisticated models quickly, on prem or in the cloud. "We are confident our team can efficiently deliver impactful results, and with less risk," stated Rick Arturo, VP of Business Development. "In fact, if the Hudson Data model fails to achieve the targeted results, there is no cost for the model. We know of no other company offering such a pledge." Model Factory produces documented model artifacts and results which are ideal for regulatory compliance applications.