Venus Technology Ventures, Inc.
John Rowland is an accomplished technology executive with extensive experience in the trading and infrastructure sectors. Currently serving as XPortfolio Trading Systems Director at Xpansiv since September 2021, John also co-founded Venus Technology Ventures, Inc. in May 2016, where innovative AI solutions are leveraged. Prior roles include Director of Business Development for ICE Mobile, President of Tradecapture OTC Corp., and President of Amphora, where John managed product delivery and system rollouts. John began their career at Phibro Division of Citigroup as a Senior Systems Analyst, contributing to the Integrated Commodity Trading System, and earlier worked as a Senior Developer at Hill Petroleum Company. John holds a BS in Computer Information Systems from Manhattan University.
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Venus Technology Ventures, Inc.
Venus Technology Ventures is an infrastructure provider of Artificial Intelligence (“AI”) solutions which are delivered via the cloud in a no-code development environment in order to create amazing multi-language conversational user interfaces for interacting with applications and data from mobile and desktop platforms via voice or chat. We empower users to immediately have conversations with their data from our enterprise desktop and mobile platforms as well as from within chat applications such as Slack, Telegram, and Microsoft Teams and IOT devices such as Amazon Alexa or Google Home. Your company and its clients can use the natural language of their choice in order to interact with existing applications, legacy systems, big data, blockchain data, internal data, external data, and market data via APIs. Our management team members each have over 20 years of industry experience at creating award winning software solutions that have been deployed at hundreds of major corporations around the world. We assist companies with their mobile and digital transformations by providing them with a no-code development environment which intelligently connects to APIs in order to allow users to interact with their applications and data in the easiest and most natural way possible - via a human like conversation.