Gradient AI, the leading provider of Artificial Intelligence and Machine Learning solutions in the InsurTech space, has responded to market enthusiasm by expanding its sales, customer service, data science, data engineering, and infrastructure teams to meet demand and drive further growth of its Artificial Intelligence and Machine Learning solutions.
Gradient has tapped three InsurTech industry sales executives to join its team and drive its rapid expansion and delivery efforts.
Jay Thierauf, Sales Executive
Jay Thierauf joins Gradient with deep professional expertise including more than 15 years of experience in the risk and insurance technology industry. Mr. Thierauf has worked with hundreds of risk managers, pools, TPAs, and insurance carriers to provide custom enterprise software. Most recently, Mr. Thierauf was with Ventiv Technology where he was a Territory Vice President – providing risk, safety, and claims solutions, and prior to that, a Senior Solutions Architect. “Jay’s diverse background in sales, project management, and application development will be a tremendous asset to claims and underwriting organizations looking to increase precision and automation,” said Aaron Shapiro, Gradient’s Chief Revenue Officer and Head of Field Operations.
Daniel Zimmerman, Sales Executive
Daniel Zimmerman joins Gradient with more than 12 years of risk management experience in the risk and insurance industry with a focus on solutions to reduce risk and automate TPAs, Pools, Carriers, MGAs and Risk Management Departments. Most recently, Mr. Zimmerman served at Riskonnect for nearly six years in roles including Associate Sales Executive, Sales Engineer, Solutions Architect, and Sales Analyst. Previously, he spent time in the commercial side of the sector in property/casualty and underwriting roles. “Daniel is a real problem solver with years of proven success with clients of all sizes. His hands-on, consultative approach and his ability to clearly convey complex subjects has been a huge part of his formula for success in helping clients improve business outcomes,” commented Mr. Shapiro.
Joseph Gould, Sales Executive
Joseph Gould joins Gradient AI with a wealth of experience in providing enterprise software solutions to the insurance and finance industries. Most recently, Mr. Gould held sales roles at Sapiens and Thomson Reuters. At Gradient he is focused on helping as many insurance companies as possible augment their human intelligence and benefit from Gradient’s Artificial Intelligence and Machine Learning models. “Joe’s previous work in finance, analytics, and with decision support platforms will be of great value to risk and insurance industry professionals who want to empower their teams, maximize usage of their data, and start experiencing a better, more automated way to serve their customers,” said Mr. Shapiro.
Gradient has also expanded its customer fulfillment capabilities adding an expert from the Carrier Core Systems market, Jonathan Sherrill.
Jonathan Sherrill, Client Executive
Jonathan Sherrill joins Gradient from Guidewire Software where he gained deep expertise in claims and underwriting workflows and further developed his technology skills enabling him to collaborate with customers on their critical business needs and execute the technology work required to meet their objectives. During his six year tenure at Guidewire Mr. Sherrill worked on projects ranging from standard core systems replacement to direct-to-customer portals to novel pay-as-you-drive solutions. He was responsible for implementing complex claims and underwriting platforms and guiding large teams of Systems Integrators including Deloitte, Capgemini, and PricewaterhouseCoopers. His specialties include business system analysis, value alignment, process automation, client-facing and middleware applications, data manipulation and analysis, and database design.
“Our rapid growth, fueled by the market demands for our AI and ML solutions, has put us in the position of continually seeking exceptional experts to join our mission to revolutionize insurance,” Mr. Shapiro said. “Gradient is committed to an ongoing investment in skilled professionals. We are attracting new, expert talent who desire to work with our innovative organization and the most advanced solutions in this field.”
Along with growing its sales and delivery teams, Gradient has also made investments in additional skilled experts in the areas of Data Science, Data Engineering and Infrastructure.
Kiril Dubrovsky, AWS/Cloud Architect
Kiril Dubrovsky joins Gradient with 20 years of experience in technical solutions delivery, design, implementation, and support of complex internet business operations. His career has focused on a dedication to customer success and improving cost effectiveness by producing consistent solutions with automation and process. At Mission, in the role of Principal Solutions Architect, he worked in operations and sales with hundreds of AWS customers working to architect, optimize and manage infrastructure workloads in many different industries. “Kiril’s knowledge is a key addition to the Gradient team to help build out our platform, both internally as well as supporting the platform that we license to our clients. We will continue investing in talent and technology to ensure we optimize scale, security and performance in the cloud,” said Stan Smith, Gradient’s Founder and CEO.
Robert Smith, Data Engineer
Robert Smith joins Gradient as a part of Gradient’s ongoing investment in talent and technology to curate the powerful data sets that are used in training its AI and ML models. With more than 16 years of expertise in Business Intelligence and data engineering, Mr. Smith brings a wealth of experience in data analysis and data structure for providing the highest precision models and automation.
Sai Haran, Data Scientist
Sai Haran joins Gradient from Clarity Insights, an analytics consulting firm based out of Chicago, where he was a Data Science Consultant. The addition of Mr. Haran represents another ongoing investment from Gradient to build new model solutions across multiple insurance lines of coverage.
“The InsurTech space is awakening to the benefits of Artificial intelligence and Machine Learning. We see increasing demand for our products and services both with prospective clients as well as within our growing client base,” said Mr. Smith. “It is exciting to see the attraction of key talent to AI and ML and to have the ability to add sales and service executives as well as data scientists and developers to meet this demand. Claims and underwriting professionals are experiencing measurable results from our solutions, resulting in more profitable business and improved customer outcomes.”
Gradient AI harnesses advanced statistical techniques: AI, ML, and neural networks, to provide decision support and automation to the commercial insurance industry. Gradient’s models are incredibly accurate and built specifically to address claims administration and underwriting: creeping CATs, reserving, treatments, fraud, recommended premium, loss prediction, as well as many other common issues faced by claims administration and underwriting professionals.
Gradient AI was founded in order to address the need for state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions designed specifically for the trillion-dollar insurance industry. AI has emerged as a disruptive force revolutionizing the way insurance professionals achieve their objectives, and Gradient is leading that charge. Our solutions include software and models utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Gradient’s stellar client base continues to grow rapidly. Gradient’s team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At Gradient, we focus exclusively on delivering measurable results in your underwriting and claims operations.