Our Team

Rishi Bhatnagar

Cofounder & CEO

Rishi Bhatnagar is the Founder and Chief Executive Officer of Quaeris, bringing more than 25 years of experience in data analytics, artificial intelligence, and machine learning. He founded Quaeris to solve a costly enterprise problem by delivering personalized insights through an intuitive natural language interface that helps sales, marketing, supply chain, and field teams make faster and smarter decisions. Under his leadership, Quaeris enables organizations to avoid the repetitive build and maintenance of dashboards, saving millions while increasing decision speed and confidence. Rishi has a proven track record of building clear, defensible solutions grounded in strong data models, well defined problem statements, and scalable architecture. He is driven by a mission to solve a 100 billion dollar per year problem and create meaningful impact through strong relationships, disciplined thinking, and a high performing team.

Louis 'Trey' Gragnani

Cofounder & Chief Architect

Louis Gragnani is Co Founder and Chief Architect of QuaerisAI, leading the design and evolution of the company’s augmented business intelligence platform. With a strong foundation in computer science and software engineering, he architects scalable systems that translate complex data environments into intuitive, natural language driven experiences. Louis plays a central role in shaping the platform’s semantic layer, data integration strategy, and overall system performance to ensure trusted, explainable answers at enterprise scale. Since co-founding QuaerisAI, he has focused on building resilient, production-ready architectures that unify structured and unstructured data while maintaining governance and control. His technical depth, combined with a disciplined product mindset, enables QuaerisAI to deliver decision acceleration without adding system complexity. Louis is committed to advancing intelligent systems that empower organizations to move from question to action with clarity and confidence.

Richard Hussey

CRO

Richard Hussey is the Chief Revenue Officer with deep expertise in enterprise sales and go to market strategy for start ups, early stage, and high growth organizations. He specializes in assessing product and market fit, aligning messaging to buyer pain, and building repeatable revenue engines that scale. Richard develops disciplined sales processes paired with strong execution, ensuring predictable growth and measurable results. He also recruits and mentors high performing sales talent and leaders, creating teams that thrive in fast moving environments. Known for combining strategy with operational focus, Richard turns early traction into sustained revenue momentum.

Brian Lambert

Head of Marketing

Brian Lambert is the Head of Marketing at QuaerisAI, leading strategy across the AI product lifecycle from roadmap and positioning to go to market execution. He partners with engineering, data, and UX teams to translate GenAI and LLM architectures into scalable, production ready solutions that grow revenue and improve EBITDA.

A trusted advisor to C suite leaders, Brian defines clear AI value propositions and success metrics while applying Lean Agile principles to reduce risk and accelerate impact. He has launched AI enabled and AI native SaaS applications, led enterprise product repositioning initiatives, and built repeatable go to market systems that align sales, product, and marketing, ensuring QuaerisAI turns advanced technology into measurable business outcomes.

Kurt Shaffer

Head of Partnerships & Channels

Kurt Shaffer is Head of Partnerships and Channels at QuaerisAI, where he builds strategic alliances that drive growth and innovation. With deep experience in partner management across data, analytics, and AI, he helps organizations unlock new opportunities and scale through strong channel ecosystems. Kurt leads GTM and partnership strategy to expand QuaerisAI’s reach and accelerate impact across the market.

Dan Krug

Advisor

Dan Krug is an Advisor to QuaerisAI with deep expertise in strategic transformation, talent strategy, and organizational performance. He brings decades of executive leadership experience across Fortune 100 and Global 500 environments, where he led large scale shifts in talent management, operations, IT, and digital technology. Dan works with leadership teams to connect strategy to execution, aligning talent, performance management, and analytics to drive measurable bottom line results. His approach links clear business priorities to focused execution plans, ensuring teams concentrate on the initiatives that matter most. Known for building leadership capacity and strengthening organizational discipline, Dan helps companies turn strategic ambition into sustained performance and long term success.

John Thomas

Advisor

John Thomas is an Advisor to QuaerisAI with extensive executive leadership experience across technology, data, and digital transformation. He has served in EVP, CTO, and CDO roles, leading large scale technology and data initiatives that support growth, innovation, and operational excellence. As a board member within the analytics and big data community, he contributes to advancing modern data practices and leadership. Throughout his career as a Chief Technology Officer, he has guided organizations through complex system modernization, enterprise data strategy, and platform scale transformation. At QuaerisAI, John provides strategic counsel on technology vision, data architecture, and building resilient systems that drive measurable business impact.

Misha Ghosh

Advisor

Misha Ghosh is an Advisor to QuaerisAI and a distinguished executive at the intersection of financial services, big data, and AI and machine learning. A serial innovator with 99 issued US utility patents and more than 100 pending globally, he is recognized for turning advanced data science into market leading commercial products. He founded a global inventor analytics platform whose data driven insights have become a primary reference for patent statistics, reflecting the depth and rigor of his work. Throughout his career, Misha has been honored with multiple industry awards, including Inventor of the Year distinctions and induction into an Inventor Hall of Fame. Equally effective in large enterprise environments and agile startups, he brings a rare ability to convert complex analytics into scalable innovation and measurable business impact.