PROWLER.io, the company taking AI beyond pattern recognition, has launched VUKU, its AI platform for enterprise decision-making.
VUKU deploys novel AI technologies for autonomous, adaptive and data-efficient decision-making in complex, dynamic and uncertain environments, such as financial portfolio management, logistics, ride sharing, port management and autonomous systems.
The unique VUKU platform merges three distinct areas of mathematics – Probabilistic Modelling, Reinforcement Learning and Multi-Agent Systems into one platform. Probabilistic Modelling techniques allow enterprises to build data-efficient and dynamic forecasting models of their environments. Reinforcement Learning allows agents to learn and make sequential and strategic decisions within these dynamic models. Multi-Agent Systems enable agents (up to billions) to coordinate and optimise decisions in complex environments, at scale.
“We believe today marks a milestone for Machine Learning technology and the AI industry,” said Vishal Chatrath, co-founder and CEO of PROWLER.io. “With the launch of the VUKU platform, PROWLER.io is advancing AI to applications beyond games and pattern recognition. AI for decision-making enables enterprises across industries to operate more efficiently and to grow their businesses by increasing margins. We are convinced that AI enhanced decision-making will drive the world economy by 2025 and our (patent-pending) VUKU platform is best positioned to lead the charge.”
The VUKU APIs allow enterprises to input data from their environments into the two primary components of the platform – a learning system and a decision-making system. The learning system provides technologies that continually learn models of the environment and policies that guide decisions. The decision-making system includes technologies that can implement optimal decisions across multiple policies or strategies.