The team behind G.E.T AI Labs.

Dr. Tyler Marshall is an applied health systems researcher focused on the evaluation and implementation of complex interventions in real-world settings.

At GET AI Labs, he leads evaluation and validation of AI systems, focusing on performance across health, clinical, and public-sector environments. His work emphasizes how systems behave outside controlled settings, including usability, safety, and operational effectiveness.

He brings expertise in implementation science, program evaluation, and clinical research methods, including systematic reviews, qualitative research, survey design, and applied clinical studies. This mixed-methods background supports rigorous assessment of both system performance and human factors such as workflow integration, adoption, and usability.

His work bridges model performance and real-world deployment, helping ensure AI systems are evidence-based, context-aware, and fit for use in high-stakes environments.

Dr. Marshall strengthens GET AI Labs by bringing a rigorous validation layer to our work. For AI systems intended for public safety, health, security, enterprise, and government-adjacent environments, that layer is essential. His work helps ensure our products are not only intelligent, but also credible, accountable, and ready for deployment in high-stakes settings.

Tejas Vyas is a Principal at GET AI Labs, where he helps shape the company's AI architecture, research direction, and enterprise system strategy.

His expertise spans artificial intelligence, enterprise software architecture, computer vision, natural language processing, deep learning, applied AI research, and scalable system design. He brings the rare ability to connect frontier AI research with the engineering discipline required to deploy systems in real enterprise environments.

Tejas brings both research depth and architectural judgment to GET AI Labs. He understands how to evaluate emerging AI methods, design reliable systems around them, and guide technical teams toward solutions that can support complex business and public-sector use cases.

At GET AI Labs, Tejas helps guide the technical foundation of the company's platforms, ensuring that the systems are scalable, research-informed, architecturally sound, and built for organizations that need more than experimental AI.

Vatsal Thakkar is a Principal at GET AI Labs, where he leads AI product strategy, technical vision, research direction, and commercialization of intelligent systems.

His expertise sits at the intersection of executive technology leadership, applied AI research, product architecture, responsible AI governance, and enterprise deployment. He specializes in turning advanced AI concepts into usable products that solve operational problems for real organizations.

As CTO at AgenQ, Vatsal leads the development of AI-powered product assistance systems that support real-time user guidance, workflow automation, product onboarding, and intelligent software interaction. His focus is on building AI systems that reduce friction, improve adoption, automate knowledge delivery, and create measurable business impact.

As AI Solutions Architect at inq-Kyra, he designs enterprise AI systems that integrate cleanly with existing workflows, meet compliance expectations, and translate AI capabilities into measurable operational outcomes for client organizations.

Previously, as Assistant Principal Investigator at Durham College's AI Hub, he led multidisciplinary AI/ML research initiatives, supported industry collaboration, managed applied research direction, and ensured research outcomes translated into deployable applications, publications, patents, and responsible AI practices.

At GET AI Labs, Vatsal brings the strategic layer that connects research, product, enterprise adoption, compliance, and execution. He helps ensure that the company's AI systems are not just innovative, but practical, trustworthy, commercially viable, and ready for serious deployment.

Nicholas Rose brings senior enterprise software leadership to GET AI Labs, with deep experience building and guiding complex product systems at scale.

At GET AI Labs, Nicholas focuses on enterprise architecture, platform structure, software reliability, and the systems layer required to turn advanced AI into deployable products. His role is to make sure our AI capabilities are not just powerful, but organized, maintainable, scalable, and ready for enterprise adoption.

His expertise spans technical leadership, product architecture, data-driven platforms, software scalability, system reliability, and engineering execution. He brings the judgment of someone who has worked across senior engineering and technical lead roles, where architecture decisions directly affect product quality, team velocity, and long-term maintainability.

Nicholas strengthens GET AI Labs by helping bridge advanced AI research with real production systems. He ensures that what we build can grow cleanly, integrate with enterprise environments, and support customers who need stability, structure, and trust.