Independent AI for an Independent World.

Alex Panait brings 15+ years in financial services innovation and auditing, including leading PwC's Financial Services Digital Innovation practice and building SaaS compliance platforms for insurance carriers. Alex understands the unique challenges of deploying AI in environments where explainability, auditability, and regulatory compliance are non-negotiable. A Columbia Engineering AI program graduate and trained auditor with deep expertise in regulated industry transformation, Alex's approach centers on delivering Enterprise Value Generation in highly regulated environments. His work has been featured at IBM Think and InsureTech Connect conferences.

Andrew is a product leader with a background in biomedical engineering and a career focused on translating research and emerging technologies into practical, real-world systems. He holds a PhD in biomedical engineering, completed through an innovation-focused doctoral track at Dartmouth College, and previously co-founded a startup to advance academic research toward applied use, which shapes his approach at the intersection of technical depth, product development, and real-world applicability. As Director of Product at Lazarus AI, Andrew is leading the development of the company’s product vision and long-term system direction, including the forthcoming AIE product line. He works closely with engineering and research leadership to shape how cutting-edge AI capabilities are assembled into coherent, configurable product systems, while championing a disciplined approach to execution, governance, and scalability. His focus is on defining how the product evolves, from early implementations to durable platforms, ensuring innovation is grounded in usability, accountability, and applicability within complex, regulated environments.

Dylan is an accomplished builder and operator with a history of standing up and scaling complex initiatives in both the public and private sectors. As COO of Lazarus AI, he manages corporate governance, compliance, finance, legal, and HR. He previously led go-to-market efforts for the company's Government Civilian business. Before Lazarus AI, Dylan led Public-Private Partnerships at McKinsey & Company, where he drove partnership formation and governance alignment for high-impact initiatives and built a new private equity service line focused on GovTech M&A. At EY, he directed technology partnership initiatives and led enterprise transformation engagements, including overseeing auditing teams on internal controls for a major federal civilian agency. He began his career leading board restructuring, turnarounds, and crisis response for major nonprofits in the DC region.

Justin is the Chief Information Officer and Chief Information Security Officer at Lazarus AI. A 20-year veteran of the NSA and Special Operations, he previously served as an Operations Chief orchestrating mission-critical activities for up to 2,000 personnel, and his extensive tenure in the Asia Pacific provides the company with unique cultural and geopolitical fluency.

Kyle serves as the Vice President of Public Sector, where he leads the strategic expansion, execution, and adoption into government markets. A former Navy SEAL, he brings operational leadership and over a decade of experience working with diverse teams on no-fail missions. Prior to his time at Lazarus, Kyle honed his experience in GTM as the Director of Business Operations at a successful SaaS startup. Kyle holds an MBA from Duke University and is currently completing a Master of Science in Quantitative Management, a combination that allows him to apply quantitative strategy to complex go-to-market challenges. His career is defined by an ability to scale mission-critical solutions through a lens of quantitative discipline, team first mentality, and proven leadership.

While supporting the CEO, Shige develops and executes APAC go-to-market strategy. A former startup co-founder and CEO, he brings deep experience across enterprise software, digital transformation, and regional business scaling for U.S. technology companies in Asia Pacific countries.