ABOUT TRIPLELM
Pioneering secure, on-premises AI solutions for organizations handling sensitive data.
Our Mission
At TripleLM, our mission is to democratize access to advanced AI capabilities while ensuring the highest standards of data privacy and security. We believe that organizations shouldn't have to choose between leveraging cutting-edge AI technology and protecting sensitive information.
Our Story
Founded in 2023 by a team of AI researchers and cybersecurity experts, TripleLM was born out of the recognition that many organizations in regulated industries were unable to benefit from the AI revolution due to data privacy concerns and regulatory requirements.
Our founders, who had previously worked at leading AI research labs and enterprise security companies, set out to create a solution that would bring the power of advanced AI models to organizations that handle sensitive data, without requiring that data to leave their secure networks.
Our Approach
We've developed a compact, powerful AI hardware solution that runs advanced models locally, ensuring complete data privacy and security. Our technology enables organizations in healthcare, finance, legal, and other regulated industries to leverage AI for document processing, analysis, and insights while maintaining full compliance with privacy regulations.
What sets us apart is our commitment to making enterprise-grade AI computing accessible at a fraction of traditional costs, with a simple subscription model that includes regular updates and dedicated support.
Leadership Team
Dr. Sarah Chen
Co-Founder & CEO
Former AI Research Lead at Stanford AI Lab with 15+ years of experience in machine learning and AI systems.
Michael Rodriguez
Co-Founder & CTO
Previously led cybersecurity infrastructure at a Fortune 100 financial institution, with expertise in secure computing systems.
Dr. James Wilson
Chief Science Officer
Former research scientist at a leading AI lab, specializing in efficient model deployment and optimization.
Our Values
Privacy by Design
We believe privacy should be the foundation of AI systems, not an afterthought.
Democratizing AI
Making advanced AI accessible to organizations of all sizes, not just tech giants.
Customer-Centric Innovation
Developing solutions based on real customer needs, not technology for technology's sake.