Improving the Future by Learning from the Past

AnswerIQ singularly focuses on understanding past customer support interactions to predict future questions - enabling agents to respond quickly and accurately.

Meet The Team

AnswerIQ is an artificial intelligence service in the customer support space. We use sophisticated algorithms to read and understand all the interactions from past tickets between the customer support agent and the customer. Once implemented, AnswerIQ enables a business to intelligently classify and automatically respond to simple known issues and more importantly assist the agents with the top three recommended responses to complex questions. It works within the existing customer experience systems like Zendesk, Salesforce etc. eliminating the need to learn any new system.

AnswerIQ is a Seattle-based company, a spin out from GE and has licensed the customer service platform. The founding team has a successful track record and are passionate about making customer service/support a differentiator for your business.


    Pradeep Rathinam (Paddy) has 25+ years of experiences in the high-tech industry with a track record of building successful businesses. He was the CEO of Aditi Technologies where he grew the company and executed a successful sale to Symphony Teleca and Harman International. Prior to Aditi, he spent 12 years at Microsoft in various roles and was a General Manager. Paddy is actively involved with software community and startups in Seattle, he currently serves as the President of Tie Seattle. He also serves on the board of Washington Technology Association and on the advisory board of several startups in Seattle.


    Prashant Luthra has 20+ years of high-tech industry experience developing embedded, desktop, mobile and enterprise web products. Prior to founding AnswerIQ, he was CTO and part of the founding team that incubated TalentWise, a leading HR enterprise software company focusing on hiring process management solutions. Talentwise was acquired by Sterling Talent Solutions in 2016.


    Aswin Natarajan is VP Engineering at AnswerIQ and is heading our product and engineering team in India. Prior to AnswerIQ, Aswin was the head of engineering and a founding employee at Jumbotail, a wholesale e-commerce startup in India where he helped build their engineering organization and products from scratch. Prior to that he was heading the Machine Learning engineering team in Amazon, Bangalore where he worked on highly-scalable implementations of machine learning and big data processing algorithms for the AWS cloud ML platform as well as different ML applications for Amazon like predictive help, targeted marketing etc. Aswin has also been part of Amazon's customer service technology team. Aswin has a BE in Computer Science from BITS Pilani and an MBA from IIM Bangalore.


    Matt Van Loan leads sales efforts at AnswerIQ. He brings 10+ years of experience building and managing global customer centric sales teams in both SaaS and online advertising for companies like Zendesk, Autopilot and Pipefy. His primary focus has been helping customer support organizations to rapidly scale through the adoption of innovative technology. Working out of our San Francisco office, Matt also consults for Silicon Valley startups and mentors in his free time. 


    Kaitlyn Bate is a seasoned product leader and has spent 10+ years in the high-tech/SaaS space. Prior to joining AnswerIQ, Kaitlyn spent 10 years at Sterling Talent Solutions, formerly TalentWise, and held a variety of roles including Account Management and Technical Product Management. Kaitlyn is passionate about using technology to create delightful user experiences and is an excellent customer and partner advocate.  Kaitlyn has a BA in Communications from WSU and an MBA from the University of Washington.


    De Meng heads the data science team and leads the core R&D efforts at AnswerIQ. He is also an Affiliated Assistant Professor in the Electrical and Computer Engineering Department at the University of Washington. He is an expert in large-scale distributed algorithms, optimization theory and applications, statistical learning, and network science. He has worked with industry labs and product teams including Microsoft Azure Machine Learning, IBM Research and Mitsubishi Electric Research Labs. He holds a Master degree in Applied Mathematics and a PhD in optimization and machine learning from the University of Washington.


    Emily Carrion is a 5-time start-up veteran and digital marketing leader. She led marketing at mobile customer experience company Apptentive, ran communications at ad tech company Mixpo, and scaled the team at location-based services company Point Inside. She loves to build brands that customers love, drive revenue growth, collaborate across the org, and build high-performing teams. Emily is a graduate of Leadership Tomorrow, has an MBA from Seattle University, and received a BA in Politics and Spanish from Whitman College. For fun, she serves on the Board of Director’s for Seattle U’s Entrepreneurship Center, mentors budding entrepreneurs, and plays soccer.


    Amit Mital is the CEO of Kernel Labs. He is also an active investor in several startups in the Bay Area and in Seattle, as well as a mentor and advisor to entrepreneurs. As a Corporate Vice President at Microsoft and Chief Technology Officer at Symantec, Mital established a history of building world-class teams, driving disruptive innovation, and delivering business results. Mital has a passion for scenarios that leverage Big Data and Machine Learning technologies.


    Soma is a Managing Director at Madrona Venture Group, focusing on ML/AI, Intelligent Apps, Developer Platforms, and VR/AR. Prior to joining Madrona, Soma had a successful twenty-seven year long career with Microsoft where he most recently was Corporate Vice President of the Developer Division and the executive sponsor for the Microsoft Global R&D Centers. Soma has long been an angel investor in a wide range of technology start-ups both in the U.S. and internationally.


    Jeff Erhardt currently leads the intelligent systems effort on behalf of GE. He joined the company via the acquisition of, a machine learning platform company, where he was CEO. Jeff has nearly 20 years building and running data-driven organizations, and has extensive operating experience at both high-growth private companies and large public enterprises. He has managed global organizations and has extensive business experience in Asia and Europe, including leadership of multi-billion dollar international transactions. He began his career as a technologist at Advanced Micro Devices, where he founded and ran one of that industry’s first organizations to use large-scale data and advanced analytics to systematically drive new technology development and manufacturing. Before joining Wise, Jeff was COO at Revolution Analytics, where he built the company into the leading disruptive provider of advanced analytics prior to its acquisition by Microsoft. Jeff holds more than 30 patents, an engineering degree from Cornell, and an MBA from the Wharton School.